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+ Page not found (404) • gllvm - - - - - + + + + + + + - - Skip to contents - - -
-
-
+
+
+

Page not found (404)

-
Content not found. Please use links in the navbar. -
+
+ + +
- + diff --git a/docs/articles/index.html b/docs/articles/index.html index 637b37c3..c7f1c33e 100644 --- a/docs/articles/index.html +++ b/docs/articles/index.html @@ -1,50 +1,85 @@ -Articles • gllvm - Skip to contents - - -
-
-
+
+
+

Articles

All vignettes

-
+

Analysing multivariate abundance data using gllvm
@@ -63,18 +98,20 @@

All vignettes

Analysing sparse ecological percent cover data using gllvm
-
+
+ - + diff --git a/docs/articles/vignette1.html b/docs/articles/vignette1.html index bd7f2838..ef5df6f0 100644 --- a/docs/articles/vignette1.html +++ b/docs/articles/vignette1.html @@ -4,72 +4,109 @@ - + Analysing multivariate abundance data using gllvm • gllvm - - - - - + + + + + + + - - Skip to contents + -
- - + +
+ -
-
-

Analysing multivariate abundance data using gllvm

+
+
+
+

Analysing multivariate abundance data using +gllvm

Jenni Niku

-

2024-09-20

+

2024-09-21

Source: vignettes/vignette1.Rmd -
vignette1.Rmd
+ +
@@ -860,26 +897,33 @@

References +

+ + +
-
+ diff --git a/docs/articles/vignette2.html b/docs/articles/vignette2.html index 74b7a26c..3f2170d1 100644 --- a/docs/articles/vignette2.html +++ b/docs/articles/vignette2.html @@ -4,72 +4,109 @@ - + Analysing high-dimensional microbial community data using gllvm • gllvm - - - - - + + + + + + + - - Skip to contents + -
- - + +
+ -
-
-

Analysing high-dimensional microbial community data using gllvm

+
+
+
+

Analysing high-dimensional microbial community +data using gllvm

Jenni Niku

-

2024-09-20

+

2024-09-21

Source: vignettes/vignette2.rmd -
vignette2.rmd
+ +
@@ -387,26 +424,33 @@

References +

+ + +
-
+ diff --git a/docs/articles/vignette3.html b/docs/articles/vignette3.html index 5285be62..e83aff2a 100644 --- a/docs/articles/vignette3.html +++ b/docs/articles/vignette3.html @@ -4,72 +4,108 @@ - + Introduction to gllvm Part 1: Ordination • gllvm - - - - - + + + + + + + - - Skip to contents + -
- - + +
+ -
-
-

Introduction to gllvm Part 1: Ordination

+
+
+
+

Introduction to gllvm Part 1: Ordination

Jenni Niku

-

2024-09-20

+

2024-09-21

Source: vignettes/vignette3.rmd -
vignette3.rmd
+ +
@@ -83,10 +119,7 @@

R package gllvm

  • R package gllvm fits Generalized linear latent variable models (GLLVM) for multivariate -data1.

    • +data1.

  • Developed by J. Niku, W.Brooks, R. Herliansyah, F.K.C. Hui, S. Taskinen, D.I. Warton, B. van der Veen.

  • @@ -116,22 +149,11 @@

    R package gllvm

    gllvm package overcomes computational problems by applying closed form approximations to log-likelihood and using automatic differentiation in C++ to accelerate computation times -(TMB2).

    • +(TMB2).

  • Estimation is performed using either variational approximation -(VA3), -extended variational approximation method (EVA4) or Laplace -approximation (LA5) method implemented via R +(VA3), +extended variational approximation method (EVA4) or Laplace +approximation (LA5) method implemented via R package TMB.

  • VA method is faster and more accurate than LA, but not applicable for all distributions and link functions.

    • @@ -265,10 +287,7 @@

    Example: Spiders
    • Abundances of 12 hunting spider species measured as a count at 28 -sites6.
      • +sites6.
    • Six environmental variables measured at each site.
      • @@ -318,9 +337,7 @@

        Residual analysis7 are used in the +

      • Randomized quantile/Dunn-Smyth residuals7 are used in the package, as they provide standard normal distributed residuals, even for discrete responses, in the case of a proper model.

      @@ -1011,9 +1028,7 @@

      Ordination plotBiplot

        -
      • Between species correlations can be visualized with biplot8 by adding +
      • Between species correlations can be visualized with biplot8 by adding latent variable loadings 𝛉j\boldsymbol{\theta}_j to the ordination of sites, by producing a biplot, (argument @@ -1065,27 +1080,67 @@

        Environmental gradients

    +
    +
    +
      +

    1. Niku, J., F.K.C. Hui, S. Taskinen, and D.I. Warton. +2019. Gllvm - Fast Analysis of Multivariate Abundance Data with +Generalized Linear Latent Variable Models in R. 10. Methods in Ecology +and Evolution: 2173–82↩︎

      2. +

    2. Kasper Kristensen, Anders Nielsen, Casper W. Berg, Hans +Skaug, Bradley M. Bell (2016). TMB: Automatic Differentiation and +Laplace Approximation. Journal of Statistical Software, 70(5), 1-21↩︎

      3. +

    3. Hui, F. K. C., Warton, D., Ormerod, J., Haapaniemi, V., +and Taskinen, S. (2017). Variational approximations for generalized +linear latent variable models. Journal of Computational and Graphical +Statistics. Journal of Computational and Graphical Statistics, +26:35-43↩︎

      4. +

    4. Korhonen, P., Hui, F. K. C., Niku, J., and Taskinen, S. +(2021). Fast, universal estimation of latent variable models using +extended variational approximations, arXiv:2107.02627 .↩︎

      5. +

    5. Niku, J., Warton, D. I., Hui, F. K. C., and Taskinen, S. +(2017). Generalized linear latent variable models for multivariate count +and biomass data in ecology. Journal of Agricultural, Biological, and +Environmental Statistics, 22:498-522.↩︎

      6. +

    6. van der Aart, P. J. M., and Smeenk-Enserink, N. (1975) +Correlations between distributions of hunting spiders (Lycosidae, +Ctenidae) and environmental characteristics in a dune area. Netherlands +Journal of Zoology 25, 1-45.↩︎

      7. +

    7. Dunn, P. K., and Smyth, G. K. (1996). Randomized +quantile residuals. Journal of Computational and Graphical Statistics, +5, 236-244.↩︎

      8. +

    8. Gabriel, K. R. (1971). The biplot graphic display of +matrices with application to principal component analysis. Biometrika, +58, 453-467↩︎

      9. +
    +
    +
    + + -
    -
    -

    Developed by Jenni Niku, Wesley Brooks, Riki Herliansyah, Francis K.C. Hui, Pekka Korhonen, Sara Taskinen, Bert van der Veen, David I. Warton.

    +
    +

    +

    Developed by Jenni Niku, Wesley Brooks, Riki Herliansyah, Francis K.C. Hui, Pekka Korhonen, Sara Taskinen, Bert van der Veen, David I. Warton.

    -
    -

    Site built with pkgdown 2.1.0.

    +
    +

    +

    Site built with pkgdown 2.1.0.

    -
    +
    + diff --git a/docs/articles/vignette4.html b/docs/articles/vignette4.html index cbd83fd1..2969320d 100644 --- a/docs/articles/vignette4.html +++ b/docs/articles/vignette4.html @@ -4,72 +4,109 @@ - + Introduction to gllvm Part 2: Species correlations • gllvm - - - - - + + + + + + + - - Skip to contents + -
    - - + +
    + -
    -
    -

    Introduction to gllvm Part 2: Species correlations

    +
    +
    +
    +

    Introduction to gllvm Part 2: Species +correlations

    Jenni Niku

    -

    2024-09-20

    +

    2024-09-21

    Source: vignettes/vignette4.rmd -
    vignette4.rmd
    + +
    @@ -83,10 +120,7 @@

    R package gllvm

  • R package gllvm fits Generalized linear latent variable models (GLLVM) for multivariate -data1.

    • +data1.

  • Developed by J. Niku, W.Brooks, R. Herliansyah, F.K.C. Hui, S. Taskinen, D.I. Warton, B. van der Veen.

  • @@ -116,22 +150,11 @@

    R package gllvm

    gllvm package overcomes computational problems by applying closed form approximations to log-likelihood and using automatic differentiation in C++ to accelerate computation times -(TMB2).

    • +(TMB2).

  • Estimation is performed using either variational approximation -(VA3), -extended variational approximation method (EVA4) or Laplace -approximation (LA5) method implemented via R +(VA3), +extended variational approximation method (EVA4) or Laplace +approximation (LA5) method implemented via R package TMB.

  • VA method is faster and more accurate than LA, but not applicable for all distributions and link functions.

    • @@ -827,27 +850,57 @@

    Fourth corner models +
    +
      +

    1. Niku, J., F.K.C. Hui, S. Taskinen, and D.I. Warton. +2019. Gllvm - Fast Analysis of Multivariate Abundance Data with +Generalized Linear Latent Variable Models in R. 10. Methods in Ecology +and Evolution: 2173–82↩︎

      2. +

    2. Kasper Kristensen, Anders Nielsen, Casper W. Berg, Hans +Skaug, Bradley M. Bell (2016). TMB: Automatic Differentiation and +Laplace Approximation. Journal of Statistical Software, 70(5), 1-21↩︎

      3. +

    3. Hui, F. K. C., Warton, D., Ormerod, J., Haapaniemi, V., +and Taskinen, S. (2017). Variational approximations for generalized +linear latent variable models. Journal of Computational and Graphical +Statistics. Journal of Computational and Graphical Statistics, +26:35-43↩︎

      4. +

    4. Korhonen, P., Hui, F. K. C., Niku, J., and Taskinen, S. +(2021). Fast, universal estimation of latent variable models using +extended variational approximations, arXiv:2107.02627 .↩︎

      5. +

    5. Niku, J., Warton, D. I., Hui, F. K. C., and Taskinen, S. +(2017). Generalized linear latent variable models for multivariate count +and biomass data in ecology. Journal of Agricultural, Biological, and +Environmental Statistics, 22:498-522.↩︎

      6. +
    +

    +
    + + -
    -
    -

    Developed by Jenni Niku, Wesley Brooks, Riki Herliansyah, Francis K.C. Hui, Pekka Korhonen, Sara Taskinen, Bert van der Veen, David I. Warton.

    +
    +

    +

    Developed by Jenni Niku, Wesley Brooks, Riki Herliansyah, Francis K.C. Hui, Pekka Korhonen, Sara Taskinen, Bert van der Veen, David I. Warton.

    -
    -

    Site built with pkgdown 2.1.0.

    +
    +

    +

    Site built with pkgdown 2.1.0.

    -
    +
    + diff --git a/docs/articles/vignette5.html b/docs/articles/vignette5.html index a3f68329..dde13151 100644 --- a/docs/articles/vignette5.html +++ b/docs/articles/vignette5.html @@ -4,73 +4,109 @@ - + How to use the quadratic response model • gllvm - - - - - + + + + + + + - - Skip to contents + -
    - - + +
    + -
    -
    -

    How to use the quadratic response model

    +
    +
    +
    +

    How to use the quadratic response model

    Bert van der Veen

    -

    2024-09-20

    +

    2024-09-21

    Source: vignettes/vignette5.Rmd -
    vignette5.Rmd
    + +
    @@ -260,26 +296,33 @@

    References +

    + + +
    -
    + diff --git a/docs/articles/vignette6.html b/docs/articles/vignette6.html index 44bf7496..4de60dc5 100644 --- a/docs/articles/vignette6.html +++ b/docs/articles/vignette6.html @@ -4,73 +4,109 @@ - + Ordination with predictors • gllvm - - - - - + + + + + + + - - Skip to contents + -
    - - + +
    + -
    -
    -

    Ordination with predictors

    +
    +
    +
    +

    Ordination with predictors

    Bert van der Veen

    -

    2024-09-20

    +

    2024-09-21

    Source: vignettes/vignette6.Rmd -
    vignette6.Rmd
    + +
    @@ -436,26 +472,33 @@

    References +

    + + +
    -
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    - - + +
    + -
    -
    -

    Phylogenetic random effects

    +
    +
    +
    +

    Phylogenetic random effects

    Bert van der Veen

    -

    2024-09-20

    +

    2024-09-21

    Source: vignettes/vignette7.Rmd -
    vignette7.Rmd
    + +
    @@ -227,7 +263,7 @@

    Species ordering - + @@ -498,26 +534,33 @@

    References +

    + + +
    -
    + diff --git a/docs/articles/vignette8.html b/docs/articles/vignette8.html index 7d215a34..918244a6 100644 --- a/docs/articles/vignette8.html +++ b/docs/articles/vignette8.html @@ -4,73 +4,110 @@ - + Analysing sparse ecological percent cover data using gllvm • gllvm - - - - - + + + + + + + - - Skip to contents + -
    - - + +
    + -
    -
    -

    Analysing sparse ecological percent cover data using gllvm

    +
    +
    +
    +

    Analysing sparse ecological percent cover data +using gllvm

    Pekka Korhonen

    -

    2024-09-20

    +

    2024-09-21

    Source: vignettes/vignette8.Rmd -
    vignette8.Rmd
    + +
    @@ -361,26 +398,33 @@

    References +

    + + +
    -
    + diff --git a/docs/authors.html b/docs/authors.html index 22172d31..0f06f2c8 100644 --- a/docs/authors.html +++ b/docs/authors.html @@ -1,49 +1,83 @@ -Authors and Citation • gllvm - Skip to contents - - -
    -
    -
    -

    Authors and Citation

    -
    -
    -

    Authors

    +
    +
    +
    +
    +

    Authors and Citation

    +
    +

    • Jenni Niku. Author, maintainer. @@ -78,20 +112,23 @@

      Authors

    +
    +
    +

    Citation

    + Source: inst/CITATION +
    +
    -
    -

    Citation

    -

    Source: inst/CITATION

    -

    Niku, J., Brooks, W., Herliansyah, R., Hui, F. K. C., Korhonen, P., Taskinen, S., van der Veen, B., and Warton, D. I. (2024). gllvm: Generalized Linear Latent Variable Models.R package version 1.4.7.

    - 
    @Manual{,
+    
    Niku, J., Brooks, W., Herliansyah, R., Hui, F. K. C., Korhonen, P., Taskinen, S., van der Veen, B., and Warton, D. I.  (2024). gllvm: Generalized Linear Latent Variable Models.R package version 1.4.7.
    
+    
    @Manual{,
   title = {gllvm: Generalized Linear Latent Variable Models},
   author = {Jenni Niku and Wesley Brooks and Riki Herliansyah and Francis K. C. Hui and Pekka Korhonen and Sara Taskinen and Bert {van der Veen} and David I. Warton},
   year = {2024},
   note = {R package version 1.4.7},
 }
    
-      
    Niku, J., Hui, F. K. C., Taskinen, S., and Warton, D. I. (2019). gllvm - Fast analysis of multivariate abundance data with generalized linear latent variable models in R. Methods in Ecology and Evolution, 10, 2173-2182.
    
-      
    @Article{,
+    
    Niku, J., Hui, F. K. C., Taskinen, S., and Warton, D. I. (2019). gllvm - Fast analysis of multivariate abundance data with generalized linear latent variable models in R. Methods in Ecology and Evolution, 10, 2173-2182.
    
+    
    @Article{,
   title = {gllvm - Fast analysis of multivariate abundance data with generalized linear latent variable models in R},
   author = {Jenni Niku and Francis K. C. Hui and Sara Taskinen and David I. Warton},
   journal = {Methods in Ecology and Evolution},
@@ -99,8 +136,8 @@ 
    Citation
    
   volume = {10},
   pages = {2173-2182},
 }
    
-      
    Niku, J., Hui, F. K. C., Taskinen, S., and Warton, D. I. (2021). Analyzing environmental-trait interactions in ecological communities with fourth-corner latent variable models. Environmetrics, 32, 1-17.
    
-      
    @Article{,
+    
    Niku, J., Hui, F. K. C., Taskinen, S., and Warton, D. I. (2021). Analyzing environmental-trait interactions in ecological communities with fourth-corner latent variable models. Environmetrics, 32, 1-17.
    
+    
    @Article{,
   title = {Analyzing environmental-trait interactions in ecological communities with fourth-corner latent variable models},
   author = {Jenni Niku and Francis K. C. Hui and Sara Taskinen and David I. Warton},
   journal = {Environmetrics},
@@ -108,15 +145,15 @@ 
    Citation
    
   volume = {32},
   pages = {1-17},
 }
    
-      
    van der Veen, B. and O'Hara, R.B. (2024). Fast fitting of phylogenetic mixed effects models. arxiv.
    
-      
    @Article{,
+    
    van der Veen, B. and O'Hara, R.B. (2024). Fast fitting of phylogenetic mixed effects models. arxiv.
    
+    
    @Article{,
   title = {Fast fitting of phylogenetic mixed effects models},
   author = {Bert {van der Veen} and Robert B. O'Hara},
   journal = {arxiv},
   year = {2024},
 }
    
-      
    van der Veen, B., Hui, F. K. C., Hovstad, K.A., Solbu, E.B., and O'Hara, R.B. (2021). Model-based ordination for species with unequal niche widths. Methods in Ecology and Evolution, 12, 1288-1300.
    
-      
    @Article{,
+    
    van der Veen, B., Hui, F. K. C., Hovstad, K.A., Solbu, E.B., and O'Hara, R.B. (2021). Model-based ordination for species with unequal niche widths. Methods in Ecology and Evolution, 12, 1288-1300.
    
+    
    @Article{,
   title = {Model-based ordination for species with unequal niche widths},
   author = {Bert {van der Veen} and Francis K. C. Hui and Knut A. Hovstad and Erik B. Solbu and Robert B. O'Hara},
   journal = {Methods in Ecology and Evolution},
@@ -124,8 +161,8 @@ 
    Citation
    
   volume = {12},
   pages = {1288-1300},
 }
    
-      
    van der Veen, B., Hui, F. K. C., Hovstad, K.A., and O'Hara, R.B. (2023). Concurrent ordination: simultaneous unconstrained and constrained latent variable modelling. Methods in Ecology and Evolution, 14, 683-695.
    
-      
    @Article{,
+    
    van der Veen, B., Hui, F. K. C., Hovstad, K.A., and O'Hara, R.B. (2023). Concurrent ordination: simultaneous unconstrained and constrained latent variable modelling. Methods in Ecology and Evolution, 14, 683-695.
    
+    
    @Article{,
   title = {Concurrent ordination: Simultaneous unconstrained and constrained latent variable modelling},
   author = {Bert {van der Veen} and Francis K. C. Hui and Knut A. Hovstad and Robert B. O'Hara},
   journal = {Methods in Ecology and Evolution},
@@ -133,8 +170,8 @@ 
    Citation
    
   volume = {14},
   pages = {683-695},
 }
    
-      
    Korhonen, P., Hui, F. K. C., Niku, J., and Taskinen, S. (2023). Fast and universal estimation of latent variable models using extended variational approximations. Statistics and Computing, 33, 1-16.
    
-      
    @Article{,
+    
    Korhonen, P., Hui, F. K. C., Niku, J., and Taskinen, S. (2023). Fast and universal estimation of latent variable models using extended variational approximations. Statistics and Computing, 33, 1-16.
    
+    
    @Article{,
   title = {Fast and universal estimation of latent variable models using extended variational approximations},
   author = {Pekka Korhonen and Francis K. C. Hui and Jenni Niku and Sara Taskinen},
   journal = {Statistics and Computing},
@@ -142,21 +179,23 @@ 
    Citation
    
   volume = {33},
   pages = {1-16},
 }
    
-
    -
    +
    + +
    -
    -

    Developed by Jenni Niku, Wesley Brooks, Riki Herliansyah, Francis K.C. Hui, Pekka Korhonen, Sara Taskinen, Bert van der Veen, David I. Warton.

    + +
    +

    Developed by Jenni Niku, Wesley Brooks, Riki Herliansyah, Francis K.C. Hui, Pekka Korhonen, Sara Taskinen, Bert van der Veen, David I. Warton.

    -
    -

    Site built with pkgdown 2.1.0.

    +
    +

    Site built with pkgdown 2.1.0.

    -
    +
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H{constructor(t){super(),this._config=this._getConfig(t),this._isAppended=!1,this._element=null}static get Default(){return Xi}static get DefaultType(){return Yi}static get NAME(){return Vi}show(t){if(!this._config.isVisible)return void g(t);this._append();const e=this._getElement();this._config.isAnimated&&d(e),e.classList.add(Ki),this._emulateAnimation((()=>{g(t)}))}hide(t){this._config.isVisible?(this._getElement().classList.remove(Ki),this._emulateAnimation((()=>{this.dispose(),g(t)}))):g(t)}dispose(){this._isAppended&&(N.off(this._element,Qi),this._element.remove(),this._isAppended=!1)}_getElement(){if(!this._element){const t=document.createElement("div");t.className=this._config.className,this._config.isAnimated&&t.classList.add("fade"),this._element=t}return this._element}_configAfterMerge(t){return t.rootElement=r(t.rootElement),t}_append(){if(this._isAppended)return;const t=this._getElement();this._config.rootElement.append(t),N.on(t,Qi,(()=>{g(this._config.clickCallback)})),this._isAppended=!0}_emulateAnimation(t){_(t,this._getElement(),this._config.isAnimated)}}const Gi=".bs.focustrap",Ji=`focusin${Gi}`,Zi=`keydown.tab${Gi}`,tn="backward",en={autofocus:!0,trapElement:null},nn={autofocus:"boolean",trapElement:"element"};class sn extends H{constructor(t){super(),this._config=this._getConfig(t),this._isActive=!1,this._lastTabNavDirection=null}static get Default(){return en}static get DefaultType(){return nn}static get NAME(){return"focustrap"}activate(){this._isActive||(this._config.autofocus&&this._config.trapElement.focus(),N.off(document,Gi),N.on(document,Ji,(t=>this._handleFocusin(t))),N.on(document,Zi,(t=>this._handleKeydown(t))),this._isActive=!0)}deactivate(){this._isActive&&(this._isActive=!1,N.off(document,Gi))}_handleFocusin(t){const{trapElement:e}=this._config;if(t.target===document||t.target===e||e.contains(t.target))return;const i=z.focusableChildren(e);0===i.length?e.focus():this._lastTabNavDirection===tn?i[i.length-1].focus():i[0].focus()}_handleKeydown(t){"Tab"===t.key&&(this._lastTabNavDirection=t.shiftKey?tn:"forward")}}const on=".fixed-top, .fixed-bottom, .is-fixed, .sticky-top",rn=".sticky-top",an="padding-right",ln="margin-right";class cn{constructor(){this._element=document.body}getWidth(){const t=document.documentElement.clientWidth;return Math.abs(window.innerWidth-t)}hide(){const t=this.getWidth();this._disableOverFlow(),this._setElementAttributes(this._element,an,(e=>e+t)),this._setElementAttributes(on,an,(e=>e+t)),this._setElementAttributes(rn,ln,(e=>e-t))}reset(){this._resetElementAttributes(this._element,"overflow"),this._resetElementAttributes(this._element,an),this._resetElementAttributes(on,an),this._resetElementAttributes(rn,ln)}isOverflowing(){return this.getWidth()>0}_disableOverFlow(){this._saveInitialAttribute(this._element,"overflow"),this._element.style.overflow="hidden"}_setElementAttributes(t,e,i){const n=this.getWidth();this._applyManipulationCallback(t,(t=>{if(t!==this._element&&window.innerWidth>t.clientWidth+n)return;this._saveInitialAttribute(t,e);const s=window.getComputedStyle(t).getPropertyValue(e);t.style.setProperty(e,`${i(Number.parseFloat(s))}px`)}))}_saveInitialAttribute(t,e){const i=t.style.getPropertyValue(e);i&&F.setDataAttribute(t,e,i)}_resetElementAttributes(t,e){this._applyManipulationCallback(t,(t=>{const i=F.getDataAttribute(t,e);null!==i?(F.removeDataAttribute(t,e),t.style.setProperty(e,i)):t.style.removeProperty(e)}))}_applyManipulationCallback(t,e){if(o(t))e(t);else for(const i of z.find(t,this._element))e(i)}}const hn=".bs.modal",dn=`hide${hn}`,un=`hidePrevented${hn}`,fn=`hidden${hn}`,pn=`show${hn}`,mn=`shown${hn}`,gn=`resize${hn}`,_n=`click.dismiss${hn}`,bn=`mousedown.dismiss${hn}`,vn=`keydown.dismiss${hn}`,yn=`click${hn}.data-api`,wn="modal-open",An="show",En="modal-static",Tn={backdrop:!0,focus:!0,keyboard:!0},Cn={backdrop:"(boolean|string)",focus:"boolean",keyboard:"boolean"};class On extends W{constructor(t,e){super(t,e),this._dialog=z.findOne(".modal-dialog",this._element),this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._isShown=!1,this._isTransitioning=!1,this._scrollBar=new cn,this._addEventListeners()}static get Default(){return Tn}static get DefaultType(){return Cn}static get NAME(){return"modal"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||this._isTransitioning||N.trigger(this._element,pn,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._isTransitioning=!0,this._scrollBar.hide(),document.body.classList.add(wn),this._adjustDialog(),this._backdrop.show((()=>this._showElement(t))))}hide(){this._isShown&&!this._isTransitioning&&(N.trigger(this._element,dn).defaultPrevented||(this._isShown=!1,this._isTransitioning=!0,this._focustrap.deactivate(),this._element.classList.remove(An),this._queueCallback((()=>this._hideModal()),this._element,this._isAnimated())))}dispose(){N.off(window,hn),N.off(this._dialog,hn),this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}handleUpdate(){this._adjustDialog()}_initializeBackDrop(){return new Ui({isVisible:Boolean(this._config.backdrop),isAnimated:this._isAnimated()})}_initializeFocusTrap(){return new sn({trapElement:this._element})}_showElement(t){document.body.contains(this._element)||document.body.append(this._element),this._element.style.display="block",this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.scrollTop=0;const e=z.findOne(".modal-body",this._dialog);e&&(e.scrollTop=0),d(this._element),this._element.classList.add(An),this._queueCallback((()=>{this._config.focus&&this._focustrap.activate(),this._isTransitioning=!1,N.trigger(this._element,mn,{relatedTarget:t})}),this._dialog,this._isAnimated())}_addEventListeners(){N.on(this._element,vn,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():this._triggerBackdropTransition())})),N.on(window,gn,(()=>{this._isShown&&!this._isTransitioning&&this._adjustDialog()})),N.on(this._element,bn,(t=>{N.one(this._element,_n,(e=>{this._element===t.target&&this._element===e.target&&("static"!==this._config.backdrop?this._config.backdrop&&this.hide():this._triggerBackdropTransition())}))}))}_hideModal(){this._element.style.display="none",this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._isTransitioning=!1,this._backdrop.hide((()=>{document.body.classList.remove(wn),this._resetAdjustments(),this._scrollBar.reset(),N.trigger(this._element,fn)}))}_isAnimated(){return this._element.classList.contains("fade")}_triggerBackdropTransition(){if(N.trigger(this._element,un).defaultPrevented)return;const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._element.style.overflowY;"hidden"===e||this._element.classList.contains(En)||(t||(this._element.style.overflowY="hidden"),this._element.classList.add(En),this._queueCallback((()=>{this._element.classList.remove(En),this._queueCallback((()=>{this._element.style.overflowY=e}),this._dialog)}),this._dialog),this._element.focus())}_adjustDialog(){const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._scrollBar.getWidth(),i=e>0;if(i&&!t){const t=p()?"paddingLeft":"paddingRight";this._element.style[t]=`${e}px`}if(!i&&t){const t=p()?"paddingRight":"paddingLeft";this._element.style[t]=`${e}px`}}_resetAdjustments(){this._element.style.paddingLeft="",this._element.style.paddingRight=""}static jQueryInterface(t,e){return this.each((function(){const i=On.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t](e)}}))}}N.on(document,yn,'[data-bs-toggle="modal"]',(function(t){const e=z.getElementFromSelector(this);["A","AREA"].includes(this.tagName)&&t.preventDefault(),N.one(e,pn,(t=>{t.defaultPrevented||N.one(e,fn,(()=>{a(this)&&this.focus()}))}));const i=z.findOne(".modal.show");i&&On.getInstance(i).hide(),On.getOrCreateInstance(e).toggle(this)})),R(On),m(On);const xn=".bs.offcanvas",kn=".data-api",Ln=`load${xn}${kn}`,Sn="show",Dn="showing",$n="hiding",In=".offcanvas.show",Nn=`show${xn}`,Pn=`shown${xn}`,Mn=`hide${xn}`,jn=`hidePrevented${xn}`,Fn=`hidden${xn}`,Hn=`resize${xn}`,Wn=`click${xn}${kn}`,Bn=`keydown.dismiss${xn}`,zn={backdrop:!0,keyboard:!0,scroll:!1},Rn={backdrop:"(boolean|string)",keyboard:"boolean",scroll:"boolean"};class qn extends W{constructor(t,e){super(t,e),this._isShown=!1,this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._addEventListeners()}static get Default(){return zn}static get DefaultType(){return Rn}static get NAME(){return"offcanvas"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||N.trigger(this._element,Nn,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._backdrop.show(),this._config.scroll||(new cn).hide(),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.classList.add(Dn),this._queueCallback((()=>{this._config.scroll&&!this._config.backdrop||this._focustrap.activate(),this._element.classList.add(Sn),this._element.classList.remove(Dn),N.trigger(this._element,Pn,{relatedTarget:t})}),this._element,!0))}hide(){this._isShown&&(N.trigger(this._element,Mn).defaultPrevented||(this._focustrap.deactivate(),this._element.blur(),this._isShown=!1,this._element.classList.add($n),this._backdrop.hide(),this._queueCallback((()=>{this._element.classList.remove(Sn,$n),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._config.scroll||(new cn).reset(),N.trigger(this._element,Fn)}),this._element,!0)))}dispose(){this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}_initializeBackDrop(){const t=Boolean(this._config.backdrop);return new Ui({className:"offcanvas-backdrop",isVisible:t,isAnimated:!0,rootElement:this._element.parentNode,clickCallback:t?()=>{"static"!==this._config.backdrop?this.hide():N.trigger(this._element,jn)}:null})}_initializeFocusTrap(){return new sn({trapElement:this._element})}_addEventListeners(){N.on(this._element,Bn,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():N.trigger(this._element,jn))}))}static jQueryInterface(t){return this.each((function(){const e=qn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}N.on(document,Wn,'[data-bs-toggle="offcanvas"]',(function(t){const e=z.getElementFromSelector(this);if(["A","AREA"].includes(this.tagName)&&t.preventDefault(),l(this))return;N.one(e,Fn,(()=>{a(this)&&this.focus()}));const i=z.findOne(In);i&&i!==e&&qn.getInstance(i).hide(),qn.getOrCreateInstance(e).toggle(this)})),N.on(window,Ln,(()=>{for(const t of z.find(In))qn.getOrCreateInstance(t).show()})),N.on(window,Hn,(()=>{for(const t of z.find("[aria-modal][class*=show][class*=offcanvas-]"))"fixed"!==getComputedStyle(t).position&&qn.getOrCreateInstance(t).hide()})),R(qn),m(qn);const Vn={"*":["class","dir","id","lang","role",/^aria-[\w-]*$/i],a:["target","href","title","rel"],area:[],b:[],br:[],col:[],code:[],div:[],em:[],hr:[],h1:[],h2:[],h3:[],h4:[],h5:[],h6:[],i:[],img:["src","srcset","alt","title","width","height"],li:[],ol:[],p:[],pre:[],s:[],small:[],span:[],sub:[],sup:[],strong:[],u:[],ul:[]},Kn=new Set(["background","cite","href","itemtype","longdesc","poster","src","xlink:href"]),Qn=/^(?!javascript:)(?:[a-z0-9+.-]+:|[^&:/?#]*(?:[/?#]|$))/i,Xn=(t,e)=>{const i=t.nodeName.toLowerCase();return e.includes(i)?!Kn.has(i)||Boolean(Qn.test(t.nodeValue)):e.filter((t=>t instanceof RegExp)).some((t=>t.test(i)))},Yn={allowList:Vn,content:{},extraClass:"",html:!1,sanitize:!0,sanitizeFn:null,template:"
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")),e}_typeCheckConfig(t){super._typeCheckConfig(t),this._checkContent(t.content)}_checkContent(t){for(const[e,i]of Object.entries(t))super._typeCheckConfig({selector:e,entry:i},Gn)}_setContent(t,e,i){const n=z.findOne(i,t);n&&((e=this._resolvePossibleFunction(e))?o(e)?this._putElementInTemplate(r(e),n):this._config.html?n.innerHTML=this._maybeSanitize(e):n.textContent=e:n.remove())}_maybeSanitize(t){return this._config.sanitize?function(t,e,i){if(!t.length)return t;if(i&&"function"==typeof i)return i(t);const n=(new window.DOMParser).parseFromString(t,"text/html"),s=[].concat(...n.body.querySelectorAll("*"));for(const t of s){const i=t.nodeName.toLowerCase();if(!Object.keys(e).includes(i)){t.remove();continue}const n=[].concat(...t.attributes),s=[].concat(e["*"]||[],e[i]||[]);for(const e of n)Xn(e,s)||t.removeAttribute(e.nodeName)}return n.body.innerHTML}(t,this._config.allowList,this._config.sanitizeFn):t}_resolvePossibleFunction(t){return g(t,[this])}_putElementInTemplate(t,e){if(this._config.html)return e.innerHTML="",void e.append(t);e.textContent=t.textContent}}const Zn=new Set(["sanitize","allowList","sanitizeFn"]),ts="fade",es="show",is=".modal",ns="hide.bs.modal",ss="hover",os="focus",rs={AUTO:"auto",TOP:"top",RIGHT:p()?"left":"right",BOTTOM:"bottom",LEFT:p()?"right":"left"},as={allowList:Vn,animation:!0,boundary:"clippingParents",container:!1,customClass:"",delay:0,fallbackPlacements:["top","right","bottom","left"],html:!1,offset:[0,6],placement:"top",popperConfig:null,sanitize:!0,sanitizeFn:null,selector:!1,template:'',title:"",trigger:"hover focus"},ls={allowList:"object",animation:"boolean",boundary:"(string|element)",container:"(string|element|boolean)",customClass:"(string|function)",delay:"(number|object)",fallbackPlacements:"array",html:"boolean",offset:"(array|string|function)",placement:"(string|function)",popperConfig:"(null|object|function)",sanitize:"boolean",sanitizeFn:"(null|function)",selector:"(string|boolean)",template:"string",title:"(string|element|function)",trigger:"string"};class cs extends W{constructor(t,e){if(void 0===vi)throw new TypeError("Bootstrap's tooltips require Popper (https://popper.js.org)");super(t,e),this._isEnabled=!0,this._timeout=0,this._isHovered=null,this._activeTrigger={},this._popper=null,this._templateFactory=null,this._newContent=null,this.tip=null,this._setListeners(),this._config.selector||this._fixTitle()}static get Default(){return as}static get DefaultType(){return ls}static get NAME(){return"tooltip"}enable(){this._isEnabled=!0}disable(){this._isEnabled=!1}toggleEnabled(){this._isEnabled=!this._isEnabled}toggle(){this._isEnabled&&(this._activeTrigger.click=!this._activeTrigger.click,this._isShown()?this._leave():this._enter())}dispose(){clearTimeout(this._timeout),N.off(this._element.closest(is),ns,this._hideModalHandler),this._element.getAttribute("data-bs-original-title")&&this._element.setAttribute("title",this._element.getAttribute("data-bs-original-title")),this._disposePopper(),super.dispose()}show(){if("none"===this._element.style.display)throw new Error("Please use show on visible elements");if(!this._isWithContent()||!this._isEnabled)return;const t=N.trigger(this._element,this.constructor.eventName("show")),e=(c(this._element)||this._element.ownerDocument.documentElement).contains(this._element);if(t.defaultPrevented||!e)return;this._disposePopper();const i=this._getTipElement();this._element.setAttribute("aria-describedby",i.getAttribute("id"));const{container:n}=this._config;if(this._element.ownerDocument.documentElement.contains(this.tip)||(n.append(i),N.trigger(this._element,this.constructor.eventName("inserted"))),this._popper=this._createPopper(i),i.classList.add(es),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))N.on(t,"mouseover",h);this._queueCallback((()=>{N.trigger(this._element,this.constructor.eventName("shown")),!1===this._isHovered&&this._leave(),this._isHovered=!1}),this.tip,this._isAnimated())}hide(){if(this._isShown()&&!N.trigger(this._element,this.constructor.eventName("hide")).defaultPrevented){if(this._getTipElement().classList.remove(es),"ontouchstart"in document.documentElement)for(const t 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object[0] : object\n }\n\n if (typeof object === 'string' && object.length > 0) {\n return document.querySelector(parseSelector(object))\n }\n\n return null\n}\n\nconst isVisible = element => {\n if (!isElement(element) || element.getClientRects().length === 0) {\n return false\n }\n\n const elementIsVisible = getComputedStyle(element).getPropertyValue('visibility') === 'visible'\n // Handle `details` element as its content may falsie appear visible when it is closed\n const closedDetails = element.closest('details:not([open])')\n\n if (!closedDetails) {\n return elementIsVisible\n }\n\n if (closedDetails !== element) {\n const summary = element.closest('summary')\n if (summary && summary.parentNode !== closedDetails) {\n return false\n }\n\n if (summary === null) {\n return false\n }\n }\n\n return elementIsVisible\n}\n\nconst isDisabled = element => {\n if (!element || element.nodeType !== Node.ELEMENT_NODE) {\n return true\n }\n\n if (element.classList.contains('disabled')) {\n return true\n }\n\n if (typeof element.disabled !== 'undefined') {\n return element.disabled\n }\n\n return element.hasAttribute('disabled') && element.getAttribute('disabled') !== 'false'\n}\n\nconst findShadowRoot = element => {\n if (!document.documentElement.attachShadow) {\n return null\n }\n\n // Can find the shadow root otherwise it'll return the document\n if (typeof element.getRootNode === 'function') {\n const root = element.getRootNode()\n return root instanceof ShadowRoot ? root : null\n }\n\n if (element instanceof ShadowRoot) {\n return element\n }\n\n // when we don't find a shadow root\n if (!element.parentNode) {\n return null\n }\n\n return findShadowRoot(element.parentNode)\n}\n\nconst noop = () => {}\n\n/**\n * Trick to restart an element's animation\n *\n * @param {HTMLElement} element\n * @return void\n *\n * @see https://www.charistheo.io/blog/2021/02/restart-a-css-animation-with-javascript/#restarting-a-css-animation\n */\nconst reflow = element => {\n element.offsetHeight // eslint-disable-line no-unused-expressions\n}\n\nconst getjQuery = () => {\n if (window.jQuery && !document.body.hasAttribute('data-bs-no-jquery')) {\n return window.jQuery\n }\n\n return null\n}\n\nconst DOMContentLoadedCallbacks = []\n\nconst onDOMContentLoaded = callback => {\n if (document.readyState === 'loading') {\n // add listener on the first call when the document is in loading state\n if (!DOMContentLoadedCallbacks.length) {\n document.addEventListener('DOMContentLoaded', () => {\n for (const callback of DOMContentLoadedCallbacks) {\n callback()\n }\n })\n }\n\n DOMContentLoadedCallbacks.push(callback)\n } else {\n callback()\n }\n}\n\nconst isRTL = () => document.documentElement.dir === 'rtl'\n\nconst defineJQueryPlugin = plugin => {\n onDOMContentLoaded(() => {\n const $ = getjQuery()\n /* istanbul ignore if */\n if ($) {\n const name = plugin.NAME\n const JQUERY_NO_CONFLICT = $.fn[name]\n $.fn[name] = plugin.jQueryInterface\n $.fn[name].Constructor = plugin\n $.fn[name].noConflict = () => {\n $.fn[name] = JQUERY_NO_CONFLICT\n return plugin.jQueryInterface\n }\n }\n })\n}\n\nconst execute = (possibleCallback, args = [], defaultValue = possibleCallback) => {\n return typeof possibleCallback === 'function' ? possibleCallback(...args) : defaultValue\n}\n\nconst executeAfterTransition = (callback, transitionElement, waitForTransition = true) => {\n if (!waitForTransition) {\n execute(callback)\n return\n }\n\n const durationPadding = 5\n const emulatedDuration = getTransitionDurationFromElement(transitionElement) + durationPadding\n\n let called = false\n\n const handler = ({ target }) => {\n if (target !== transitionElement) {\n return\n }\n\n called = true\n transitionElement.removeEventListener(TRANSITION_END, handler)\n execute(callback)\n }\n\n transitionElement.addEventListener(TRANSITION_END, handler)\n setTimeout(() => {\n if (!called) {\n triggerTransitionEnd(transitionElement)\n }\n }, emulatedDuration)\n}\n\n/**\n * Return the previous/next element of a list.\n *\n * @param {array} list The list of elements\n * @param activeElement The active element\n * @param shouldGetNext Choose to get next or previous element\n * @param isCycleAllowed\n * @return {Element|elem} The proper element\n */\nconst getNextActiveElement = (list, activeElement, shouldGetNext, isCycleAllowed) => {\n const listLength = list.length\n let index = list.indexOf(activeElement)\n\n // if the element does not exist in the list return an element\n // depending on the direction and if cycle is allowed\n if (index === -1) {\n return !shouldGetNext && isCycleAllowed ? list[listLength - 1] : list[0]\n }\n\n index += shouldGetNext ? 1 : -1\n\n if (isCycleAllowed) {\n index = (index + listLength) % listLength\n }\n\n return list[Math.max(0, Math.min(index, listLength - 1))]\n}\n\nexport {\n defineJQueryPlugin,\n execute,\n executeAfterTransition,\n findShadowRoot,\n getElement,\n getjQuery,\n getNextActiveElement,\n getTransitionDurationFromElement,\n getUID,\n isDisabled,\n isElement,\n isRTL,\n isVisible,\n noop,\n onDOMContentLoaded,\n parseSelector,\n reflow,\n triggerTransitionEnd,\n toType\n}\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/event-handler.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport { getjQuery } from '../util/index.js'\n\n/**\n * Constants\n */\n\nconst namespaceRegex = /[^.]*(?=\\..*)\\.|.*/\nconst stripNameRegex = /\\..*/\nconst stripUidRegex = /::\\d+$/\nconst eventRegistry = {} // Events storage\nlet uidEvent = 1\nconst customEvents = {\n mouseenter: 'mouseover',\n mouseleave: 'mouseout'\n}\n\nconst nativeEvents = new Set([\n 'click',\n 'dblclick',\n 'mouseup',\n 'mousedown',\n 'contextmenu',\n 'mousewheel',\n 'DOMMouseScroll',\n 'mouseover',\n 'mouseout',\n 'mousemove',\n 'selectstart',\n 'selectend',\n 'keydown',\n 'keypress',\n 'keyup',\n 'orientationchange',\n 'touchstart',\n 'touchmove',\n 'touchend',\n 'touchcancel',\n 'pointerdown',\n 'pointermove',\n 'pointerup',\n 'pointerleave',\n 'pointercancel',\n 'gesturestart',\n 'gesturechange',\n 'gestureend',\n 'focus',\n 'blur',\n 'change',\n 'reset',\n 'select',\n 'submit',\n 'focusin',\n 'focusout',\n 'load',\n 'unload',\n 'beforeunload',\n 'resize',\n 'move',\n 'DOMContentLoaded',\n 'readystatechange',\n 'error',\n 'abort',\n 'scroll'\n])\n\n/**\n * Private methods\n */\n\nfunction makeEventUid(element, uid) {\n return (uid && `${uid}::${uidEvent++}`) || element.uidEvent || uidEvent++\n}\n\nfunction getElementEvents(element) {\n const uid = makeEventUid(element)\n\n element.uidEvent = uid\n eventRegistry[uid] = eventRegistry[uid] || {}\n\n return eventRegistry[uid]\n}\n\nfunction bootstrapHandler(element, fn) {\n return function handler(event) {\n hydrateObj(event, { delegateTarget: element })\n\n if (handler.oneOff) {\n EventHandler.off(element, event.type, fn)\n }\n\n return fn.apply(element, [event])\n }\n}\n\nfunction bootstrapDelegationHandler(element, selector, fn) {\n return function handler(event) {\n const domElements = element.querySelectorAll(selector)\n\n for (let { target } = event; target && target !== this; target = target.parentNode) {\n for (const domElement of domElements) {\n if (domElement !== target) {\n continue\n }\n\n hydrateObj(event, { delegateTarget: target })\n\n if (handler.oneOff) {\n EventHandler.off(element, event.type, selector, fn)\n }\n\n return fn.apply(target, [event])\n }\n }\n }\n}\n\nfunction findHandler(events, callable, delegationSelector = null) {\n return Object.values(events)\n .find(event => event.callable === callable && event.delegationSelector === delegationSelector)\n}\n\nfunction normalizeParameters(originalTypeEvent, handler, delegationFunction) {\n const isDelegated = typeof handler === 'string'\n // TODO: tooltip passes `false` instead of selector, so we need to check\n const callable = isDelegated ? delegationFunction : (handler || delegationFunction)\n let typeEvent = getTypeEvent(originalTypeEvent)\n\n if (!nativeEvents.has(typeEvent)) {\n typeEvent = originalTypeEvent\n }\n\n return [isDelegated, callable, typeEvent]\n}\n\nfunction addHandler(element, originalTypeEvent, handler, delegationFunction, oneOff) {\n if (typeof originalTypeEvent !== 'string' || !element) {\n return\n }\n\n let [isDelegated, callable, typeEvent] = normalizeParameters(originalTypeEvent, handler, delegationFunction)\n\n // in case of mouseenter or mouseleave wrap the handler within a function that checks for its DOM position\n // this prevents the handler from being dispatched the same way as mouseover or mouseout does\n if (originalTypeEvent in customEvents) {\n const wrapFunction = fn => {\n return function (event) {\n if (!event.relatedTarget || (event.relatedTarget !== event.delegateTarget && !event.delegateTarget.contains(event.relatedTarget))) {\n return fn.call(this, event)\n }\n }\n }\n\n callable = wrapFunction(callable)\n }\n\n const events = getElementEvents(element)\n const handlers = events[typeEvent] || (events[typeEvent] = {})\n const previousFunction = findHandler(handlers, callable, isDelegated ? handler : null)\n\n if (previousFunction) {\n previousFunction.oneOff = previousFunction.oneOff && oneOff\n\n return\n }\n\n const uid = makeEventUid(callable, originalTypeEvent.replace(namespaceRegex, ''))\n const fn = isDelegated ?\n bootstrapDelegationHandler(element, handler, callable) :\n bootstrapHandler(element, callable)\n\n fn.delegationSelector = isDelegated ? handler : null\n fn.callable = callable\n fn.oneOff = oneOff\n fn.uidEvent = uid\n handlers[uid] = fn\n\n element.addEventListener(typeEvent, fn, isDelegated)\n}\n\nfunction removeHandler(element, events, typeEvent, handler, delegationSelector) {\n const fn = findHandler(events[typeEvent], handler, delegationSelector)\n\n if (!fn) {\n return\n }\n\n element.removeEventListener(typeEvent, fn, Boolean(delegationSelector))\n delete events[typeEvent][fn.uidEvent]\n}\n\nfunction removeNamespacedHandlers(element, events, typeEvent, namespace) {\n const storeElementEvent = events[typeEvent] || {}\n\n for (const [handlerKey, event] of Object.entries(storeElementEvent)) {\n if (handlerKey.includes(namespace)) {\n removeHandler(element, events, typeEvent, event.callable, event.delegationSelector)\n }\n }\n}\n\nfunction getTypeEvent(event) {\n // allow to get the native events from namespaced events ('click.bs.button' --> 'click')\n event = event.replace(stripNameRegex, '')\n return customEvents[event] || event\n}\n\nconst EventHandler = {\n on(element, event, handler, delegationFunction) {\n addHandler(element, event, handler, delegationFunction, false)\n },\n\n one(element, event, handler, delegationFunction) {\n addHandler(element, event, handler, delegationFunction, true)\n },\n\n off(element, originalTypeEvent, handler, delegationFunction) {\n if (typeof originalTypeEvent !== 'string' || !element) {\n return\n }\n\n const [isDelegated, callable, typeEvent] = normalizeParameters(originalTypeEvent, handler, delegationFunction)\n const inNamespace = typeEvent !== originalTypeEvent\n const events = getElementEvents(element)\n const storeElementEvent = events[typeEvent] || {}\n const isNamespace = originalTypeEvent.startsWith('.')\n\n if (typeof callable !== 'undefined') {\n // Simplest case: handler is passed, remove that listener ONLY.\n if (!Object.keys(storeElementEvent).length) {\n return\n }\n\n removeHandler(element, events, typeEvent, callable, isDelegated ? handler : null)\n return\n }\n\n if (isNamespace) {\n for (const elementEvent of Object.keys(events)) {\n removeNamespacedHandlers(element, events, elementEvent, originalTypeEvent.slice(1))\n }\n }\n\n for (const [keyHandlers, event] of Object.entries(storeElementEvent)) {\n const handlerKey = keyHandlers.replace(stripUidRegex, '')\n\n if (!inNamespace || originalTypeEvent.includes(handlerKey)) {\n removeHandler(element, events, typeEvent, event.callable, event.delegationSelector)\n }\n }\n },\n\n trigger(element, event, args) {\n if (typeof event !== 'string' || !element) {\n return null\n }\n\n const $ = getjQuery()\n const typeEvent = getTypeEvent(event)\n const inNamespace = event !== typeEvent\n\n let jQueryEvent = null\n let bubbles = true\n let nativeDispatch = true\n let defaultPrevented = false\n\n if (inNamespace && $) {\n jQueryEvent = $.Event(event, args)\n\n $(element).trigger(jQueryEvent)\n bubbles = !jQueryEvent.isPropagationStopped()\n nativeDispatch = !jQueryEvent.isImmediatePropagationStopped()\n defaultPrevented = jQueryEvent.isDefaultPrevented()\n }\n\n const evt = hydrateObj(new Event(event, { bubbles, cancelable: true }), args)\n\n if (defaultPrevented) {\n evt.preventDefault()\n }\n\n if (nativeDispatch) {\n element.dispatchEvent(evt)\n }\n\n if (evt.defaultPrevented && jQueryEvent) {\n jQueryEvent.preventDefault()\n }\n\n return evt\n }\n}\n\nfunction hydrateObj(obj, meta = {}) {\n for (const [key, value] of Object.entries(meta)) {\n try {\n obj[key] = value\n } catch {\n Object.defineProperty(obj, key, {\n configurable: true,\n get() {\n return value\n }\n })\n }\n }\n\n return obj\n}\n\nexport default EventHandler\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/manipulator.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nfunction normalizeData(value) {\n if (value === 'true') {\n return true\n }\n\n if (value === 'false') {\n return false\n }\n\n if (value === Number(value).toString()) {\n return Number(value)\n }\n\n if (value === '' || value === 'null') {\n return null\n }\n\n if (typeof value !== 'string') {\n return value\n }\n\n try {\n return JSON.parse(decodeURIComponent(value))\n } catch {\n return value\n }\n}\n\nfunction normalizeDataKey(key) {\n return key.replace(/[A-Z]/g, chr => `-${chr.toLowerCase()}`)\n}\n\nconst Manipulator = {\n setDataAttribute(element, key, value) {\n element.setAttribute(`data-bs-${normalizeDataKey(key)}`, value)\n },\n\n removeDataAttribute(element, key) {\n element.removeAttribute(`data-bs-${normalizeDataKey(key)}`)\n },\n\n getDataAttributes(element) {\n if (!element) {\n return {}\n }\n\n const attributes = {}\n const bsKeys = Object.keys(element.dataset).filter(key => key.startsWith('bs') && !key.startsWith('bsConfig'))\n\n for (const key of bsKeys) {\n let pureKey = key.replace(/^bs/, '')\n pureKey = pureKey.charAt(0).toLowerCase() + pureKey.slice(1, pureKey.length)\n attributes[pureKey] = normalizeData(element.dataset[key])\n }\n\n return attributes\n },\n\n getDataAttribute(element, key) {\n return normalizeData(element.getAttribute(`data-bs-${normalizeDataKey(key)}`))\n }\n}\n\nexport default Manipulator\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/config.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport Manipulator from '../dom/manipulator.js'\nimport { isElement, toType } from './index.js'\n\n/**\n * Class definition\n */\n\nclass Config {\n // Getters\n static get Default() {\n return {}\n }\n\n static get DefaultType() {\n return {}\n }\n\n static get NAME() {\n throw new Error('You have to implement the static method \"NAME\", for each component!')\n }\n\n _getConfig(config) {\n config = this._mergeConfigObj(config)\n config = this._configAfterMerge(config)\n this._typeCheckConfig(config)\n return config\n }\n\n _configAfterMerge(config) {\n return config\n }\n\n _mergeConfigObj(config, element) {\n const jsonConfig = isElement(element) ? Manipulator.getDataAttribute(element, 'config') : {} // try to parse\n\n return {\n ...this.constructor.Default,\n ...(typeof jsonConfig === 'object' ? jsonConfig : {}),\n ...(isElement(element) ? Manipulator.getDataAttributes(element) : {}),\n ...(typeof config === 'object' ? config : {})\n }\n }\n\n _typeCheckConfig(config, configTypes = this.constructor.DefaultType) {\n for (const [property, expectedTypes] of Object.entries(configTypes)) {\n const value = config[property]\n const valueType = isElement(value) ? 'element' : toType(value)\n\n if (!new RegExp(expectedTypes).test(valueType)) {\n throw new TypeError(\n `${this.constructor.NAME.toUpperCase()}: Option \"${property}\" provided type \"${valueType}\" but expected type \"${expectedTypes}\".`\n )\n }\n }\n }\n}\n\nexport default Config\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap base-component.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport Data from './dom/data.js'\nimport EventHandler from './dom/event-handler.js'\nimport Config from './util/config.js'\nimport { executeAfterTransition, getElement } from './util/index.js'\n\n/**\n * Constants\n */\n\nconst VERSION = '5.3.1'\n\n/**\n * Class definition\n */\n\nclass BaseComponent extends Config {\n constructor(element, config) {\n super()\n\n element = getElement(element)\n if (!element) {\n return\n }\n\n this._element = element\n this._config = this._getConfig(config)\n\n Data.set(this._element, this.constructor.DATA_KEY, this)\n }\n\n // Public\n dispose() {\n Data.remove(this._element, this.constructor.DATA_KEY)\n EventHandler.off(this._element, this.constructor.EVENT_KEY)\n\n for (const propertyName of Object.getOwnPropertyNames(this)) {\n this[propertyName] = null\n }\n }\n\n _queueCallback(callback, element, isAnimated = true) {\n executeAfterTransition(callback, element, isAnimated)\n }\n\n _getConfig(config) {\n config = this._mergeConfigObj(config, this._element)\n config = this._configAfterMerge(config)\n this._typeCheckConfig(config)\n return config\n }\n\n // Static\n static getInstance(element) {\n return Data.get(getElement(element), this.DATA_KEY)\n }\n\n static getOrCreateInstance(element, config = {}) {\n return this.getInstance(element) || new this(element, typeof config === 'object' ? config : null)\n }\n\n static get VERSION() {\n return VERSION\n }\n\n static get DATA_KEY() {\n return `bs.${this.NAME}`\n }\n\n static get EVENT_KEY() {\n return `.${this.DATA_KEY}`\n }\n\n static eventName(name) {\n return `${name}${this.EVENT_KEY}`\n }\n}\n\nexport default BaseComponent\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/selector-engine.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport { isDisabled, isVisible, parseSelector } from '../util/index.js'\n\nconst getSelector = element => {\n let selector = element.getAttribute('data-bs-target')\n\n if (!selector || selector === '#') {\n let hrefAttribute = element.getAttribute('href')\n\n // The only valid content that could double as a selector are IDs or classes,\n // so everything starting with `#` or `.`. If a \"real\" URL is used as the selector,\n // `document.querySelector` will rightfully complain it is invalid.\n // See https://github.com/twbs/bootstrap/issues/32273\n if (!hrefAttribute || (!hrefAttribute.includes('#') && !hrefAttribute.startsWith('.'))) {\n return null\n }\n\n // Just in case some CMS puts out a full URL with the anchor appended\n if (hrefAttribute.includes('#') && !hrefAttribute.startsWith('#')) {\n hrefAttribute = `#${hrefAttribute.split('#')[1]}`\n }\n\n selector = hrefAttribute && hrefAttribute !== '#' ? hrefAttribute.trim() : null\n }\n\n return parseSelector(selector)\n}\n\nconst SelectorEngine = {\n find(selector, element = document.documentElement) {\n return [].concat(...Element.prototype.querySelectorAll.call(element, selector))\n },\n\n findOne(selector, element = document.documentElement) {\n return Element.prototype.querySelector.call(element, selector)\n },\n\n children(element, selector) {\n return [].concat(...element.children).filter(child => child.matches(selector))\n },\n\n parents(element, selector) {\n const parents = []\n let ancestor = element.parentNode.closest(selector)\n\n while (ancestor) {\n parents.push(ancestor)\n ancestor = ancestor.parentNode.closest(selector)\n }\n\n return parents\n },\n\n prev(element, selector) {\n let previous = element.previousElementSibling\n\n while (previous) {\n if (previous.matches(selector)) {\n return [previous]\n }\n\n previous = previous.previousElementSibling\n }\n\n return []\n },\n // TODO: this is now unused; remove later along with prev()\n next(element, selector) {\n let next = element.nextElementSibling\n\n while (next) {\n if (next.matches(selector)) {\n return [next]\n }\n\n next = next.nextElementSibling\n }\n\n return []\n },\n\n focusableChildren(element) {\n const focusables = [\n 'a',\n 'button',\n 'input',\n 'textarea',\n 'select',\n 'details',\n '[tabindex]',\n '[contenteditable=\"true\"]'\n ].map(selector => `${selector}:not([tabindex^=\"-\"])`).join(',')\n\n return this.find(focusables, element).filter(el => !isDisabled(el) && isVisible(el))\n },\n\n getSelectorFromElement(element) {\n const selector = getSelector(element)\n\n if (selector) {\n return SelectorEngine.findOne(selector) ? selector : null\n }\n\n return null\n },\n\n getElementFromSelector(element) {\n const selector = getSelector(element)\n\n return selector ? SelectorEngine.findOne(selector) : null\n },\n\n getMultipleElementsFromSelector(element) {\n const selector = getSelector(element)\n\n return selector ? SelectorEngine.find(selector) : []\n }\n}\n\nexport default SelectorEngine\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/component-functions.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport EventHandler from '../dom/event-handler.js'\nimport SelectorEngine from '../dom/selector-engine.js'\nimport { isDisabled } from './index.js'\n\nconst enableDismissTrigger = (component, method = 'hide') => {\n const clickEvent = `click.dismiss${component.EVENT_KEY}`\n const name = component.NAME\n\n EventHandler.on(document, clickEvent, `[data-bs-dismiss=\"${name}\"]`, function (event) {\n if (['A', 'AREA'].includes(this.tagName)) {\n event.preventDefault()\n }\n\n if (isDisabled(this)) {\n return\n }\n\n const target = SelectorEngine.getElementFromSelector(this) || this.closest(`.${name}`)\n const instance = component.getOrCreateInstance(target)\n\n // Method argument is left, for Alert and only, as it doesn't implement the 'hide' method\n instance[method]()\n })\n}\n\nexport {\n enableDismissTrigger\n}\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap alert.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport { enableDismissTrigger } from './util/component-functions.js'\nimport { defineJQueryPlugin } from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'alert'\nconst DATA_KEY = 'bs.alert'\nconst EVENT_KEY = `.${DATA_KEY}`\n\nconst EVENT_CLOSE = `close${EVENT_KEY}`\nconst EVENT_CLOSED = `closed${EVENT_KEY}`\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_SHOW = 'show'\n\n/**\n * Class definition\n */\n\nclass Alert extends BaseComponent {\n // Getters\n static get NAME() {\n return NAME\n }\n\n // Public\n close() {\n const closeEvent = EventHandler.trigger(this._element, EVENT_CLOSE)\n\n if (closeEvent.defaultPrevented) {\n return\n }\n\n this._element.classList.remove(CLASS_NAME_SHOW)\n\n const isAnimated = this._element.classList.contains(CLASS_NAME_FADE)\n this._queueCallback(() => this._destroyElement(), this._element, isAnimated)\n }\n\n // Private\n _destroyElement() {\n this._element.remove()\n EventHandler.trigger(this._element, EVENT_CLOSED)\n this.dispose()\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Alert.getOrCreateInstance(this)\n\n if (typeof config !== 'string') {\n return\n }\n\n if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n throw new TypeError(`No method named \"${config}\"`)\n }\n\n data[config](this)\n })\n }\n}\n\n/**\n * Data API implementation\n */\n\nenableDismissTrigger(Alert, 'close')\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Alert)\n\nexport default Alert\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap button.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport { defineJQueryPlugin } from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'button'\nconst DATA_KEY = 'bs.button'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst CLASS_NAME_ACTIVE = 'active'\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"button\"]'\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\n\n/**\n * Class definition\n */\n\nclass Button extends BaseComponent {\n // Getters\n static get NAME() {\n return NAME\n }\n\n // Public\n toggle() {\n // Toggle class and sync the `aria-pressed` attribute with the return value of the `.toggle()` method\n this._element.setAttribute('aria-pressed', this._element.classList.toggle(CLASS_NAME_ACTIVE))\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Button.getOrCreateInstance(this)\n\n if (config === 'toggle') {\n data[config]()\n }\n })\n }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, event => {\n event.preventDefault()\n\n const button = event.target.closest(SELECTOR_DATA_TOGGLE)\n const data = Button.getOrCreateInstance(button)\n\n data.toggle()\n})\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Button)\n\nexport default Button\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/swipe.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport EventHandler from '../dom/event-handler.js'\nimport Config from './config.js'\nimport { execute } from './index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'swipe'\nconst EVENT_KEY = '.bs.swipe'\nconst EVENT_TOUCHSTART = `touchstart${EVENT_KEY}`\nconst EVENT_TOUCHMOVE = `touchmove${EVENT_KEY}`\nconst EVENT_TOUCHEND = `touchend${EVENT_KEY}`\nconst EVENT_POINTERDOWN = `pointerdown${EVENT_KEY}`\nconst EVENT_POINTERUP = `pointerup${EVENT_KEY}`\nconst POINTER_TYPE_TOUCH = 'touch'\nconst POINTER_TYPE_PEN = 'pen'\nconst CLASS_NAME_POINTER_EVENT = 'pointer-event'\nconst SWIPE_THRESHOLD = 40\n\nconst Default = {\n endCallback: null,\n leftCallback: null,\n rightCallback: null\n}\n\nconst DefaultType = {\n endCallback: '(function|null)',\n leftCallback: '(function|null)',\n rightCallback: '(function|null)'\n}\n\n/**\n * Class definition\n */\n\nclass Swipe extends Config {\n constructor(element, config) {\n super()\n this._element = element\n\n if (!element || !Swipe.isSupported()) {\n return\n }\n\n this._config = this._getConfig(config)\n this._deltaX = 0\n this._supportPointerEvents = Boolean(window.PointerEvent)\n this._initEvents()\n }\n\n // Getters\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n dispose() {\n EventHandler.off(this._element, EVENT_KEY)\n }\n\n // Private\n _start(event) {\n if (!this._supportPointerEvents) {\n this._deltaX = event.touches[0].clientX\n\n return\n }\n\n if (this._eventIsPointerPenTouch(event)) {\n this._deltaX = event.clientX\n }\n }\n\n _end(event) {\n if (this._eventIsPointerPenTouch(event)) {\n this._deltaX = event.clientX - this._deltaX\n }\n\n this._handleSwipe()\n execute(this._config.endCallback)\n }\n\n _move(event) {\n this._deltaX = event.touches && event.touches.length > 1 ?\n 0 :\n event.touches[0].clientX - this._deltaX\n }\n\n _handleSwipe() {\n const absDeltaX = Math.abs(this._deltaX)\n\n if (absDeltaX <= SWIPE_THRESHOLD) {\n return\n }\n\n const direction = absDeltaX / this._deltaX\n\n this._deltaX = 0\n\n if (!direction) {\n return\n }\n\n execute(direction > 0 ? this._config.rightCallback : this._config.leftCallback)\n }\n\n _initEvents() {\n if (this._supportPointerEvents) {\n EventHandler.on(this._element, EVENT_POINTERDOWN, event => this._start(event))\n EventHandler.on(this._element, EVENT_POINTERUP, event => this._end(event))\n\n this._element.classList.add(CLASS_NAME_POINTER_EVENT)\n } else {\n EventHandler.on(this._element, EVENT_TOUCHSTART, event => this._start(event))\n EventHandler.on(this._element, EVENT_TOUCHMOVE, event => this._move(event))\n EventHandler.on(this._element, EVENT_TOUCHEND, event => this._end(event))\n }\n }\n\n _eventIsPointerPenTouch(event) {\n return this._supportPointerEvents && (event.pointerType === POINTER_TYPE_PEN || event.pointerType === POINTER_TYPE_TOUCH)\n }\n\n // Static\n static isSupported() {\n return 'ontouchstart' in document.documentElement || navigator.maxTouchPoints > 0\n }\n}\n\nexport default Swipe\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap carousel.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport Manipulator from './dom/manipulator.js'\nimport SelectorEngine from './dom/selector-engine.js'\nimport {\n defineJQueryPlugin,\n getNextActiveElement,\n isRTL,\n isVisible,\n reflow,\n triggerTransitionEnd\n} from './util/index.js'\nimport Swipe from './util/swipe.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'carousel'\nconst DATA_KEY = 'bs.carousel'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst ARROW_LEFT_KEY = 'ArrowLeft'\nconst ARROW_RIGHT_KEY = 'ArrowRight'\nconst TOUCHEVENT_COMPAT_WAIT = 500 // Time for mouse compat events to fire after touch\n\nconst ORDER_NEXT = 'next'\nconst ORDER_PREV = 'prev'\nconst DIRECTION_LEFT = 'left'\nconst DIRECTION_RIGHT = 'right'\n\nconst EVENT_SLIDE = `slide${EVENT_KEY}`\nconst EVENT_SLID = `slid${EVENT_KEY}`\nconst EVENT_KEYDOWN = `keydown${EVENT_KEY}`\nconst EVENT_MOUSEENTER = `mouseenter${EVENT_KEY}`\nconst EVENT_MOUSELEAVE = `mouseleave${EVENT_KEY}`\nconst EVENT_DRAG_START = `dragstart${EVENT_KEY}`\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY}${DATA_API_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_CAROUSEL = 'carousel'\nconst CLASS_NAME_ACTIVE = 'active'\nconst CLASS_NAME_SLIDE = 'slide'\nconst CLASS_NAME_END = 'carousel-item-end'\nconst CLASS_NAME_START = 'carousel-item-start'\nconst CLASS_NAME_NEXT = 'carousel-item-next'\nconst CLASS_NAME_PREV = 'carousel-item-prev'\n\nconst SELECTOR_ACTIVE = '.active'\nconst SELECTOR_ITEM = '.carousel-item'\nconst SELECTOR_ACTIVE_ITEM = SELECTOR_ACTIVE + SELECTOR_ITEM\nconst SELECTOR_ITEM_IMG = '.carousel-item img'\nconst SELECTOR_INDICATORS = '.carousel-indicators'\nconst SELECTOR_DATA_SLIDE = '[data-bs-slide], [data-bs-slide-to]'\nconst SELECTOR_DATA_RIDE = '[data-bs-ride=\"carousel\"]'\n\nconst KEY_TO_DIRECTION = {\n [ARROW_LEFT_KEY]: DIRECTION_RIGHT,\n [ARROW_RIGHT_KEY]: DIRECTION_LEFT\n}\n\nconst Default = {\n interval: 5000,\n keyboard: true,\n pause: 'hover',\n ride: false,\n touch: true,\n wrap: true\n}\n\nconst DefaultType = {\n interval: '(number|boolean)', // TODO:v6 remove boolean support\n keyboard: 'boolean',\n pause: '(string|boolean)',\n ride: '(boolean|string)',\n touch: 'boolean',\n wrap: 'boolean'\n}\n\n/**\n * Class definition\n */\n\nclass Carousel extends BaseComponent {\n constructor(element, config) {\n super(element, config)\n\n this._interval = null\n this._activeElement = null\n this._isSliding = false\n this.touchTimeout = null\n this._swipeHelper = null\n\n this._indicatorsElement = SelectorEngine.findOne(SELECTOR_INDICATORS, this._element)\n this._addEventListeners()\n\n if (this._config.ride === CLASS_NAME_CAROUSEL) {\n this.cycle()\n }\n }\n\n // Getters\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n next() {\n this._slide(ORDER_NEXT)\n }\n\n nextWhenVisible() {\n // FIXME TODO use `document.visibilityState`\n // Don't call next when the page isn't visible\n // or the carousel or its parent isn't visible\n if (!document.hidden && isVisible(this._element)) {\n this.next()\n }\n }\n\n prev() {\n this._slide(ORDER_PREV)\n }\n\n pause() {\n if (this._isSliding) {\n triggerTransitionEnd(this._element)\n }\n\n this._clearInterval()\n }\n\n cycle() {\n this._clearInterval()\n this._updateInterval()\n\n this._interval = setInterval(() => this.nextWhenVisible(), this._config.interval)\n }\n\n _maybeEnableCycle() {\n if (!this._config.ride) {\n return\n }\n\n if (this._isSliding) {\n EventHandler.one(this._element, EVENT_SLID, () => this.cycle())\n return\n }\n\n this.cycle()\n }\n\n to(index) {\n const items = this._getItems()\n if (index > items.length - 1 || index < 0) {\n return\n }\n\n if (this._isSliding) {\n EventHandler.one(this._element, EVENT_SLID, () => this.to(index))\n return\n }\n\n const activeIndex = this._getItemIndex(this._getActive())\n if (activeIndex === index) {\n return\n }\n\n const order = index > activeIndex ? ORDER_NEXT : ORDER_PREV\n\n this._slide(order, items[index])\n }\n\n dispose() {\n if (this._swipeHelper) {\n this._swipeHelper.dispose()\n }\n\n super.dispose()\n }\n\n // Private\n _configAfterMerge(config) {\n config.defaultInterval = config.interval\n return config\n }\n\n _addEventListeners() {\n if (this._config.keyboard) {\n EventHandler.on(this._element, EVENT_KEYDOWN, event => this._keydown(event))\n }\n\n if (this._config.pause === 'hover') {\n EventHandler.on(this._element, EVENT_MOUSEENTER, () => this.pause())\n EventHandler.on(this._element, EVENT_MOUSELEAVE, () => this._maybeEnableCycle())\n }\n\n if (this._config.touch && Swipe.isSupported()) {\n this._addTouchEventListeners()\n }\n }\n\n _addTouchEventListeners() {\n for (const img of SelectorEngine.find(SELECTOR_ITEM_IMG, this._element)) {\n EventHandler.on(img, EVENT_DRAG_START, event => event.preventDefault())\n }\n\n const endCallBack = () => {\n if (this._config.pause !== 'hover') {\n return\n }\n\n // If it's a touch-enabled device, mouseenter/leave are fired as\n // part of the mouse compatibility events on first tap - the carousel\n // would stop cycling until user tapped out of it;\n // here, we listen for touchend, explicitly pause the carousel\n // (as if it's the second time we tap on it, mouseenter compat event\n // is NOT fired) and after a timeout (to allow for mouse compatibility\n // events to fire) we explicitly restart cycling\n\n this.pause()\n if (this.touchTimeout) {\n clearTimeout(this.touchTimeout)\n }\n\n this.touchTimeout = setTimeout(() => this._maybeEnableCycle(), TOUCHEVENT_COMPAT_WAIT + this._config.interval)\n }\n\n const swipeConfig = {\n leftCallback: () => this._slide(this._directionToOrder(DIRECTION_LEFT)),\n rightCallback: () => this._slide(this._directionToOrder(DIRECTION_RIGHT)),\n endCallback: endCallBack\n }\n\n this._swipeHelper = new Swipe(this._element, swipeConfig)\n }\n\n _keydown(event) {\n if (/input|textarea/i.test(event.target.tagName)) {\n return\n }\n\n const direction = KEY_TO_DIRECTION[event.key]\n if (direction) {\n event.preventDefault()\n this._slide(this._directionToOrder(direction))\n }\n }\n\n _getItemIndex(element) {\n return this._getItems().indexOf(element)\n }\n\n _setActiveIndicatorElement(index) {\n if (!this._indicatorsElement) {\n return\n }\n\n const activeIndicator = SelectorEngine.findOne(SELECTOR_ACTIVE, this._indicatorsElement)\n\n activeIndicator.classList.remove(CLASS_NAME_ACTIVE)\n activeIndicator.removeAttribute('aria-current')\n\n const newActiveIndicator = SelectorEngine.findOne(`[data-bs-slide-to=\"${index}\"]`, this._indicatorsElement)\n\n if (newActiveIndicator) {\n newActiveIndicator.classList.add(CLASS_NAME_ACTIVE)\n newActiveIndicator.setAttribute('aria-current', 'true')\n }\n }\n\n _updateInterval() {\n const element = this._activeElement || this._getActive()\n\n if (!element) {\n return\n }\n\n const elementInterval = Number.parseInt(element.getAttribute('data-bs-interval'), 10)\n\n this._config.interval = elementInterval || this._config.defaultInterval\n }\n\n _slide(order, element = null) {\n if (this._isSliding) {\n return\n }\n\n const activeElement = this._getActive()\n const isNext = order === ORDER_NEXT\n const nextElement = element || getNextActiveElement(this._getItems(), activeElement, isNext, this._config.wrap)\n\n if (nextElement === activeElement) {\n return\n }\n\n const nextElementIndex = this._getItemIndex(nextElement)\n\n const triggerEvent = eventName => {\n return EventHandler.trigger(this._element, eventName, {\n relatedTarget: nextElement,\n direction: this._orderToDirection(order),\n from: this._getItemIndex(activeElement),\n to: nextElementIndex\n })\n }\n\n const slideEvent = triggerEvent(EVENT_SLIDE)\n\n if (slideEvent.defaultPrevented) {\n return\n }\n\n if (!activeElement || !nextElement) {\n // Some weirdness is happening, so we bail\n // TODO: change tests that use empty divs to avoid this check\n return\n }\n\n const isCycling = Boolean(this._interval)\n this.pause()\n\n this._isSliding = true\n\n this._setActiveIndicatorElement(nextElementIndex)\n this._activeElement = nextElement\n\n const directionalClassName = isNext ? CLASS_NAME_START : CLASS_NAME_END\n const orderClassName = isNext ? CLASS_NAME_NEXT : CLASS_NAME_PREV\n\n nextElement.classList.add(orderClassName)\n\n reflow(nextElement)\n\n activeElement.classList.add(directionalClassName)\n nextElement.classList.add(directionalClassName)\n\n const completeCallBack = () => {\n nextElement.classList.remove(directionalClassName, orderClassName)\n nextElement.classList.add(CLASS_NAME_ACTIVE)\n\n activeElement.classList.remove(CLASS_NAME_ACTIVE, orderClassName, directionalClassName)\n\n this._isSliding = false\n\n triggerEvent(EVENT_SLID)\n }\n\n this._queueCallback(completeCallBack, activeElement, this._isAnimated())\n\n if (isCycling) {\n this.cycle()\n }\n }\n\n _isAnimated() {\n return this._element.classList.contains(CLASS_NAME_SLIDE)\n }\n\n _getActive() {\n return SelectorEngine.findOne(SELECTOR_ACTIVE_ITEM, this._element)\n }\n\n _getItems() {\n return SelectorEngine.find(SELECTOR_ITEM, this._element)\n }\n\n _clearInterval() {\n if (this._interval) {\n clearInterval(this._interval)\n this._interval = null\n }\n }\n\n _directionToOrder(direction) {\n if (isRTL()) {\n return direction === DIRECTION_LEFT ? ORDER_PREV : ORDER_NEXT\n }\n\n return direction === DIRECTION_LEFT ? ORDER_NEXT : ORDER_PREV\n }\n\n _orderToDirection(order) {\n if (isRTL()) {\n return order === ORDER_PREV ? DIRECTION_LEFT : DIRECTION_RIGHT\n }\n\n return order === ORDER_PREV ? DIRECTION_RIGHT : DIRECTION_LEFT\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Carousel.getOrCreateInstance(this, config)\n\n if (typeof config === 'number') {\n data.to(config)\n return\n }\n\n if (typeof config === 'string') {\n if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n throw new TypeError(`No method named \"${config}\"`)\n }\n\n data[config]()\n }\n })\n }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_SLIDE, function (event) {\n const target = SelectorEngine.getElementFromSelector(this)\n\n if (!target || !target.classList.contains(CLASS_NAME_CAROUSEL)) {\n return\n }\n\n event.preventDefault()\n\n const carousel = Carousel.getOrCreateInstance(target)\n const slideIndex = this.getAttribute('data-bs-slide-to')\n\n if (slideIndex) {\n carousel.to(slideIndex)\n carousel._maybeEnableCycle()\n return\n }\n\n if (Manipulator.getDataAttribute(this, 'slide') === 'next') {\n carousel.next()\n carousel._maybeEnableCycle()\n return\n }\n\n carousel.prev()\n carousel._maybeEnableCycle()\n})\n\nEventHandler.on(window, EVENT_LOAD_DATA_API, () => {\n const carousels = SelectorEngine.find(SELECTOR_DATA_RIDE)\n\n for (const carousel of carousels) {\n Carousel.getOrCreateInstance(carousel)\n }\n})\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Carousel)\n\nexport default Carousel\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap collapse.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport SelectorEngine from './dom/selector-engine.js'\nimport {\n defineJQueryPlugin,\n getElement,\n reflow\n} from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'collapse'\nconst DATA_KEY = 'bs.collapse'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_COLLAPSE = 'collapse'\nconst CLASS_NAME_COLLAPSING = 'collapsing'\nconst CLASS_NAME_COLLAPSED = 'collapsed'\nconst CLASS_NAME_DEEPER_CHILDREN = `:scope .${CLASS_NAME_COLLAPSE} .${CLASS_NAME_COLLAPSE}`\nconst CLASS_NAME_HORIZONTAL = 'collapse-horizontal'\n\nconst WIDTH = 'width'\nconst HEIGHT = 'height'\n\nconst SELECTOR_ACTIVES = '.collapse.show, .collapse.collapsing'\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"collapse\"]'\n\nconst Default = {\n parent: null,\n toggle: true\n}\n\nconst DefaultType = {\n parent: '(null|element)',\n toggle: 'boolean'\n}\n\n/**\n * Class definition\n */\n\nclass Collapse extends BaseComponent {\n constructor(element, config) {\n super(element, config)\n\n this._isTransitioning = false\n this._triggerArray = []\n\n const toggleList = SelectorEngine.find(SELECTOR_DATA_TOGGLE)\n\n for (const elem of toggleList) {\n const selector = SelectorEngine.getSelectorFromElement(elem)\n const filterElement = SelectorEngine.find(selector)\n .filter(foundElement => foundElement === this._element)\n\n if (selector !== null && filterElement.length) {\n this._triggerArray.push(elem)\n }\n }\n\n this._initializeChildren()\n\n if (!this._config.parent) {\n this._addAriaAndCollapsedClass(this._triggerArray, this._isShown())\n }\n\n if (this._config.toggle) {\n this.toggle()\n }\n }\n\n // Getters\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n toggle() {\n if (this._isShown()) {\n this.hide()\n } else {\n this.show()\n }\n }\n\n show() {\n if (this._isTransitioning || this._isShown()) {\n return\n }\n\n let activeChildren = []\n\n // find active children\n if (this._config.parent) {\n activeChildren = this._getFirstLevelChildren(SELECTOR_ACTIVES)\n .filter(element => element !== this._element)\n .map(element => Collapse.getOrCreateInstance(element, { toggle: false }))\n }\n\n if (activeChildren.length && activeChildren[0]._isTransitioning) {\n return\n }\n\n const startEvent = EventHandler.trigger(this._element, EVENT_SHOW)\n if (startEvent.defaultPrevented) {\n return\n }\n\n for (const activeInstance of activeChildren) {\n activeInstance.hide()\n }\n\n const dimension = this._getDimension()\n\n this._element.classList.remove(CLASS_NAME_COLLAPSE)\n this._element.classList.add(CLASS_NAME_COLLAPSING)\n\n this._element.style[dimension] = 0\n\n this._addAriaAndCollapsedClass(this._triggerArray, true)\n this._isTransitioning = true\n\n const complete = () => {\n this._isTransitioning = false\n\n this._element.classList.remove(CLASS_NAME_COLLAPSING)\n this._element.classList.add(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW)\n\n this._element.style[dimension] = ''\n\n EventHandler.trigger(this._element, EVENT_SHOWN)\n }\n\n const capitalizedDimension = dimension[0].toUpperCase() + dimension.slice(1)\n const scrollSize = `scroll${capitalizedDimension}`\n\n this._queueCallback(complete, this._element, true)\n this._element.style[dimension] = `${this._element[scrollSize]}px`\n }\n\n hide() {\n if (this._isTransitioning || !this._isShown()) {\n return\n }\n\n const startEvent = EventHandler.trigger(this._element, EVENT_HIDE)\n if (startEvent.defaultPrevented) {\n return\n }\n\n const dimension = this._getDimension()\n\n this._element.style[dimension] = `${this._element.getBoundingClientRect()[dimension]}px`\n\n reflow(this._element)\n\n this._element.classList.add(CLASS_NAME_COLLAPSING)\n this._element.classList.remove(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW)\n\n for (const trigger of this._triggerArray) {\n const element = SelectorEngine.getElementFromSelector(trigger)\n\n if (element && !this._isShown(element)) {\n this._addAriaAndCollapsedClass([trigger], false)\n }\n }\n\n this._isTransitioning = true\n\n const complete = () => {\n this._isTransitioning = false\n this._element.classList.remove(CLASS_NAME_COLLAPSING)\n this._element.classList.add(CLASS_NAME_COLLAPSE)\n EventHandler.trigger(this._element, EVENT_HIDDEN)\n }\n\n this._element.style[dimension] = ''\n\n this._queueCallback(complete, this._element, true)\n }\n\n _isShown(element = this._element) {\n return element.classList.contains(CLASS_NAME_SHOW)\n }\n\n // Private\n _configAfterMerge(config) {\n config.toggle = Boolean(config.toggle) // Coerce string values\n config.parent = getElement(config.parent)\n return config\n }\n\n _getDimension() {\n return this._element.classList.contains(CLASS_NAME_HORIZONTAL) ? WIDTH : HEIGHT\n }\n\n _initializeChildren() {\n if (!this._config.parent) {\n return\n }\n\n const children = this._getFirstLevelChildren(SELECTOR_DATA_TOGGLE)\n\n for (const element of children) {\n const selected = SelectorEngine.getElementFromSelector(element)\n\n if (selected) {\n this._addAriaAndCollapsedClass([element], this._isShown(selected))\n }\n }\n }\n\n _getFirstLevelChildren(selector) {\n const children = SelectorEngine.find(CLASS_NAME_DEEPER_CHILDREN, this._config.parent)\n // remove children if greater depth\n return SelectorEngine.find(selector, this._config.parent).filter(element => !children.includes(element))\n }\n\n _addAriaAndCollapsedClass(triggerArray, isOpen) {\n if (!triggerArray.length) {\n return\n }\n\n for (const element of triggerArray) {\n element.classList.toggle(CLASS_NAME_COLLAPSED, !isOpen)\n element.setAttribute('aria-expanded', isOpen)\n }\n }\n\n // Static\n static jQueryInterface(config) {\n const _config = {}\n if (typeof config === 'string' && /show|hide/.test(config)) {\n _config.toggle = false\n }\n\n return this.each(function () {\n const data = Collapse.getOrCreateInstance(this, _config)\n\n if (typeof config === 'string') {\n if (typeof data[config] === 'undefined') {\n throw new TypeError(`No method named \"${config}\"`)\n }\n\n data[config]()\n }\n })\n }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n // preventDefault only for elements (which change the URL) not inside the collapsible element\n if (event.target.tagName === 'A' || (event.delegateTarget && event.delegateTarget.tagName === 'A')) {\n event.preventDefault()\n }\n\n for (const element of SelectorEngine.getMultipleElementsFromSelector(this)) {\n Collapse.getOrCreateInstance(element, { toggle: false }).toggle()\n }\n})\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Collapse)\n\nexport default Collapse\n","export var top = 'top';\nexport var bottom = 'bottom';\nexport var right = 'right';\nexport var left = 'left';\nexport var auto = 'auto';\nexport var basePlacements = [top, bottom, right, left];\nexport var start = 'start';\nexport var end = 'end';\nexport var clippingParents = 'clippingParents';\nexport var viewport = 'viewport';\nexport var popper = 'popper';\nexport var reference = 'reference';\nexport var variationPlacements = /*#__PURE__*/basePlacements.reduce(function (acc, placement) {\n return acc.concat([placement + \"-\" + start, placement + \"-\" + end]);\n}, []);\nexport var placements = /*#__PURE__*/[].concat(basePlacements, [auto]).reduce(function (acc, placement) {\n return acc.concat([placement, placement + \"-\" + start, placement + \"-\" + end]);\n}, []); // modifiers that need to read the DOM\n\nexport var beforeRead = 'beforeRead';\nexport var read = 'read';\nexport var afterRead = 'afterRead'; // pure-logic modifiers\n\nexport var beforeMain = 'beforeMain';\nexport var main = 'main';\nexport var afterMain = 'afterMain'; // modifier with the purpose to write to the DOM (or write into a framework state)\n\nexport var beforeWrite = 'beforeWrite';\nexport var write = 'write';\nexport var afterWrite = 'afterWrite';\nexport var modifierPhases = [beforeRead, read, afterRead, beforeMain, main, afterMain, beforeWrite, write, afterWrite];","export default function getNodeName(element) {\n return element ? (element.nodeName || '').toLowerCase() : null;\n}","export default function getWindow(node) {\n if (node == null) {\n return window;\n }\n\n if (node.toString() !== '[object Window]') {\n var ownerDocument = node.ownerDocument;\n return ownerDocument ? ownerDocument.defaultView || window : window;\n }\n\n return node;\n}","import getWindow from \"./getWindow.js\";\n\nfunction isElement(node) {\n var OwnElement = getWindow(node).Element;\n return node instanceof OwnElement || node instanceof Element;\n}\n\nfunction isHTMLElement(node) {\n var OwnElement = getWindow(node).HTMLElement;\n return node instanceof OwnElement || node instanceof HTMLElement;\n}\n\nfunction isShadowRoot(node) {\n // IE 11 has no ShadowRoot\n if (typeof ShadowRoot === 'undefined') {\n return false;\n }\n\n var OwnElement = getWindow(node).ShadowRoot;\n return node instanceof OwnElement || node instanceof ShadowRoot;\n}\n\nexport { isElement, isHTMLElement, isShadowRoot };","import getNodeName from \"../dom-utils/getNodeName.js\";\nimport { isHTMLElement } from \"../dom-utils/instanceOf.js\"; // This modifier takes the styles prepared by the `computeStyles` modifier\n// and applies them to the HTMLElements such as popper and arrow\n\nfunction applyStyles(_ref) {\n var state = _ref.state;\n Object.keys(state.elements).forEach(function (name) {\n var style = state.styles[name] || {};\n var attributes = state.attributes[name] || {};\n var element = state.elements[name]; // arrow is optional + virtual elements\n\n if (!isHTMLElement(element) || !getNodeName(element)) {\n return;\n } // Flow doesn't support to extend this property, but it's the most\n // effective way to apply styles to an HTMLElement\n // $FlowFixMe[cannot-write]\n\n\n Object.assign(element.style, style);\n Object.keys(attributes).forEach(function (name) {\n var value = attributes[name];\n\n if (value === false) {\n element.removeAttribute(name);\n } else {\n element.setAttribute(name, value === true ? '' : value);\n }\n });\n });\n}\n\nfunction effect(_ref2) {\n var state = _ref2.state;\n var initialStyles = {\n popper: {\n position: state.options.strategy,\n left: '0',\n top: '0',\n margin: '0'\n },\n arrow: {\n position: 'absolute'\n },\n reference: {}\n };\n Object.assign(state.elements.popper.style, initialStyles.popper);\n state.styles = initialStyles;\n\n if (state.elements.arrow) {\n Object.assign(state.elements.arrow.style, initialStyles.arrow);\n }\n\n return function () {\n Object.keys(state.elements).forEach(function (name) {\n var element = state.elements[name];\n var attributes = state.attributes[name] || {};\n var styleProperties = Object.keys(state.styles.hasOwnProperty(name) ? state.styles[name] : initialStyles[name]); // Set all values to an empty string to unset them\n\n var style = styleProperties.reduce(function (style, property) {\n style[property] = '';\n return style;\n }, {}); // arrow is optional + virtual elements\n\n if (!isHTMLElement(element) || !getNodeName(element)) {\n return;\n }\n\n Object.assign(element.style, style);\n Object.keys(attributes).forEach(function (attribute) {\n element.removeAttribute(attribute);\n });\n });\n };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'applyStyles',\n enabled: true,\n phase: 'write',\n fn: applyStyles,\n effect: effect,\n requires: ['computeStyles']\n};","import { auto } from \"../enums.js\";\nexport default function getBasePlacement(placement) {\n return placement.split('-')[0];\n}","export var max = Math.max;\nexport var min = Math.min;\nexport var round = Math.round;","export default function getUAString() {\n var uaData = navigator.userAgentData;\n\n if (uaData != null && uaData.brands && Array.isArray(uaData.brands)) {\n return uaData.brands.map(function (item) {\n return item.brand + \"/\" + item.version;\n }).join(' ');\n }\n\n return navigator.userAgent;\n}","import getUAString from \"../utils/userAgent.js\";\nexport default function isLayoutViewport() {\n return !/^((?!chrome|android).)*safari/i.test(getUAString());\n}","import { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport { round } from \"../utils/math.js\";\nimport getWindow from \"./getWindow.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getBoundingClientRect(element, includeScale, isFixedStrategy) {\n if (includeScale === void 0) {\n includeScale = false;\n }\n\n if (isFixedStrategy === void 0) {\n isFixedStrategy = false;\n }\n\n var clientRect = element.getBoundingClientRect();\n var scaleX = 1;\n var scaleY = 1;\n\n if (includeScale && isHTMLElement(element)) {\n scaleX = element.offsetWidth > 0 ? round(clientRect.width) / element.offsetWidth || 1 : 1;\n scaleY = element.offsetHeight > 0 ? round(clientRect.height) / element.offsetHeight || 1 : 1;\n }\n\n var _ref = isElement(element) ? getWindow(element) : window,\n visualViewport = _ref.visualViewport;\n\n var addVisualOffsets = !isLayoutViewport() && isFixedStrategy;\n var x = (clientRect.left + (addVisualOffsets && visualViewport ? visualViewport.offsetLeft : 0)) / scaleX;\n var y = (clientRect.top + (addVisualOffsets && visualViewport ? visualViewport.offsetTop : 0)) / scaleY;\n var width = clientRect.width / scaleX;\n var height = clientRect.height / scaleY;\n return {\n width: width,\n height: height,\n top: y,\n right: x + width,\n bottom: y + height,\n left: x,\n x: x,\n y: y\n };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\"; // Returns the layout rect of an element relative to its offsetParent. Layout\n// means it doesn't take into account transforms.\n\nexport default function getLayoutRect(element) {\n var clientRect = getBoundingClientRect(element); // Use the clientRect sizes if it's not been transformed.\n // Fixes https://github.com/popperjs/popper-core/issues/1223\n\n var width = element.offsetWidth;\n var height = element.offsetHeight;\n\n if (Math.abs(clientRect.width - width) <= 1) {\n width = clientRect.width;\n }\n\n if (Math.abs(clientRect.height - height) <= 1) {\n height = clientRect.height;\n }\n\n return {\n x: element.offsetLeft,\n y: element.offsetTop,\n width: width,\n height: height\n };\n}","import { isShadowRoot } from \"./instanceOf.js\";\nexport default function contains(parent, child) {\n var rootNode = child.getRootNode && child.getRootNode(); // First, attempt with faster native method\n\n if (parent.contains(child)) {\n return true;\n } // then fallback to custom implementation with Shadow DOM support\n else if (rootNode && isShadowRoot(rootNode)) {\n var next = child;\n\n do {\n if (next && parent.isSameNode(next)) {\n return true;\n } // $FlowFixMe[prop-missing]: need a better way to handle this...\n\n\n next = next.parentNode || next.host;\n } while (next);\n } // Give up, the result is false\n\n\n return false;\n}","import getWindow from \"./getWindow.js\";\nexport default function getComputedStyle(element) {\n return getWindow(element).getComputedStyle(element);\n}","import getNodeName from \"./getNodeName.js\";\nexport default function isTableElement(element) {\n return ['table', 'td', 'th'].indexOf(getNodeName(element)) >= 0;\n}","import { isElement } from \"./instanceOf.js\";\nexport default function getDocumentElement(element) {\n // $FlowFixMe[incompatible-return]: assume body is always available\n return ((isElement(element) ? element.ownerDocument : // $FlowFixMe[prop-missing]\n element.document) || window.document).documentElement;\n}","import getNodeName from \"./getNodeName.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport { isShadowRoot } from \"./instanceOf.js\";\nexport default function getParentNode(element) {\n if (getNodeName(element) === 'html') {\n return element;\n }\n\n return (// this is a quicker (but less type safe) way to save quite some bytes from the bundle\n // $FlowFixMe[incompatible-return]\n // $FlowFixMe[prop-missing]\n element.assignedSlot || // step into the shadow DOM of the parent of a slotted node\n element.parentNode || ( // DOM Element detected\n isShadowRoot(element) ? element.host : null) || // ShadowRoot detected\n // $FlowFixMe[incompatible-call]: HTMLElement is a Node\n getDocumentElement(element) // fallback\n\n );\n}","import getWindow from \"./getWindow.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isHTMLElement, isShadowRoot } from \"./instanceOf.js\";\nimport isTableElement from \"./isTableElement.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getUAString from \"../utils/userAgent.js\";\n\nfunction getTrueOffsetParent(element) {\n if (!isHTMLElement(element) || // https://github.com/popperjs/popper-core/issues/837\n getComputedStyle(element).position === 'fixed') {\n return null;\n }\n\n return element.offsetParent;\n} // `.offsetParent` reports `null` for fixed elements, while absolute elements\n// return the containing block\n\n\nfunction getContainingBlock(element) {\n var isFirefox = /firefox/i.test(getUAString());\n var isIE = /Trident/i.test(getUAString());\n\n if (isIE && isHTMLElement(element)) {\n // In IE 9, 10 and 11 fixed elements containing block is always established by the viewport\n var elementCss = getComputedStyle(element);\n\n if (elementCss.position === 'fixed') {\n return null;\n }\n }\n\n var currentNode = getParentNode(element);\n\n if (isShadowRoot(currentNode)) {\n currentNode = currentNode.host;\n }\n\n while (isHTMLElement(currentNode) && ['html', 'body'].indexOf(getNodeName(currentNode)) < 0) {\n var css = getComputedStyle(currentNode); // This is non-exhaustive but covers the most common CSS properties that\n // create a containing block.\n // https://developer.mozilla.org/en-US/docs/Web/CSS/Containing_block#identifying_the_containing_block\n\n if (css.transform !== 'none' || css.perspective !== 'none' || css.contain === 'paint' || ['transform', 'perspective'].indexOf(css.willChange) !== -1 || isFirefox && css.willChange === 'filter' || isFirefox && css.filter && css.filter !== 'none') {\n return currentNode;\n } else {\n currentNode = currentNode.parentNode;\n }\n }\n\n return null;\n} // Gets the closest ancestor positioned element. Handles some edge cases,\n// such as table ancestors and cross browser bugs.\n\n\nexport default function getOffsetParent(element) {\n var window = getWindow(element);\n var offsetParent = getTrueOffsetParent(element);\n\n while (offsetParent && isTableElement(offsetParent) && getComputedStyle(offsetParent).position === 'static') {\n offsetParent = getTrueOffsetParent(offsetParent);\n }\n\n if (offsetParent && (getNodeName(offsetParent) === 'html' || getNodeName(offsetParent) === 'body' && getComputedStyle(offsetParent).position === 'static')) {\n return window;\n }\n\n return offsetParent || getContainingBlock(element) || window;\n}","export default function getMainAxisFromPlacement(placement) {\n return ['top', 'bottom'].indexOf(placement) >= 0 ? 'x' : 'y';\n}","import { max as mathMax, min as mathMin } from \"./math.js\";\nexport function within(min, value, max) {\n return mathMax(min, mathMin(value, max));\n}\nexport function withinMaxClamp(min, value, max) {\n var v = within(min, value, max);\n return v > max ? max : v;\n}","import getFreshSideObject from \"./getFreshSideObject.js\";\nexport default function mergePaddingObject(paddingObject) {\n return Object.assign({}, getFreshSideObject(), paddingObject);\n}","export default function getFreshSideObject() {\n return {\n top: 0,\n right: 0,\n bottom: 0,\n left: 0\n };\n}","export default function expandToHashMap(value, keys) {\n return keys.reduce(function (hashMap, key) {\n hashMap[key] = value;\n return hashMap;\n }, {});\n}","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport contains from \"../dom-utils/contains.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport { within } from \"../utils/within.js\";\nimport mergePaddingObject from \"../utils/mergePaddingObject.js\";\nimport expandToHashMap from \"../utils/expandToHashMap.js\";\nimport { left, right, basePlacements, top, bottom } from \"../enums.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar toPaddingObject = function toPaddingObject(padding, state) {\n padding = typeof padding === 'function' ? padding(Object.assign({}, state.rects, {\n placement: state.placement\n })) : padding;\n return mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n};\n\nfunction arrow(_ref) {\n var _state$modifiersData$;\n\n var state = _ref.state,\n name = _ref.name,\n options = _ref.options;\n var arrowElement = state.elements.arrow;\n var popperOffsets = state.modifiersData.popperOffsets;\n var basePlacement = getBasePlacement(state.placement);\n var axis = getMainAxisFromPlacement(basePlacement);\n var isVertical = [left, right].indexOf(basePlacement) >= 0;\n var len = isVertical ? 'height' : 'width';\n\n if (!arrowElement || !popperOffsets) {\n return;\n }\n\n var paddingObject = toPaddingObject(options.padding, state);\n var arrowRect = getLayoutRect(arrowElement);\n var minProp = axis === 'y' ? top : left;\n var maxProp = axis === 'y' ? bottom : right;\n var endDiff = state.rects.reference[len] + state.rects.reference[axis] - popperOffsets[axis] - state.rects.popper[len];\n var startDiff = popperOffsets[axis] - state.rects.reference[axis];\n var arrowOffsetParent = getOffsetParent(arrowElement);\n var clientSize = arrowOffsetParent ? axis === 'y' ? arrowOffsetParent.clientHeight || 0 : arrowOffsetParent.clientWidth || 0 : 0;\n var centerToReference = endDiff / 2 - startDiff / 2; // Make sure the arrow doesn't overflow the popper if the center point is\n // outside of the popper bounds\n\n var min = paddingObject[minProp];\n var max = clientSize - arrowRect[len] - paddingObject[maxProp];\n var center = clientSize / 2 - arrowRect[len] / 2 + centerToReference;\n var offset = within(min, center, max); // Prevents breaking syntax highlighting...\n\n var axisProp = axis;\n state.modifiersData[name] = (_state$modifiersData$ = {}, _state$modifiersData$[axisProp] = offset, _state$modifiersData$.centerOffset = offset - center, _state$modifiersData$);\n}\n\nfunction effect(_ref2) {\n var state = _ref2.state,\n options = _ref2.options;\n var _options$element = options.element,\n arrowElement = _options$element === void 0 ? '[data-popper-arrow]' : _options$element;\n\n if (arrowElement == null) {\n return;\n } // CSS selector\n\n\n if (typeof arrowElement === 'string') {\n arrowElement = state.elements.popper.querySelector(arrowElement);\n\n if (!arrowElement) {\n return;\n }\n }\n\n if (!contains(state.elements.popper, arrowElement)) {\n return;\n }\n\n state.elements.arrow = arrowElement;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'arrow',\n enabled: true,\n phase: 'main',\n fn: arrow,\n effect: effect,\n requires: ['popperOffsets'],\n requiresIfExists: ['preventOverflow']\n};","export default function getVariation(placement) {\n return placement.split('-')[1];\n}","import { top, left, right, bottom, end } from \"../enums.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getWindow from \"../dom-utils/getWindow.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getComputedStyle from \"../dom-utils/getComputedStyle.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport { round } from \"../utils/math.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar unsetSides = {\n top: 'auto',\n right: 'auto',\n bottom: 'auto',\n left: 'auto'\n}; // Round the offsets to the nearest suitable subpixel based on the DPR.\n// Zooming can change the DPR, but it seems to report a value that will\n// cleanly divide the values into the appropriate subpixels.\n\nfunction roundOffsetsByDPR(_ref, win) {\n var x = _ref.x,\n y = _ref.y;\n var dpr = win.devicePixelRatio || 1;\n return {\n x: round(x * dpr) / dpr || 0,\n y: round(y * dpr) / dpr || 0\n };\n}\n\nexport function mapToStyles(_ref2) {\n var _Object$assign2;\n\n var popper = _ref2.popper,\n popperRect = _ref2.popperRect,\n placement = _ref2.placement,\n variation = _ref2.variation,\n offsets = _ref2.offsets,\n position = _ref2.position,\n gpuAcceleration = _ref2.gpuAcceleration,\n adaptive = _ref2.adaptive,\n roundOffsets = _ref2.roundOffsets,\n isFixed = _ref2.isFixed;\n var _offsets$x = offsets.x,\n x = _offsets$x === void 0 ? 0 : _offsets$x,\n _offsets$y = offsets.y,\n y = _offsets$y === void 0 ? 0 : _offsets$y;\n\n var _ref3 = typeof roundOffsets === 'function' ? roundOffsets({\n x: x,\n y: y\n }) : {\n x: x,\n y: y\n };\n\n x = _ref3.x;\n y = _ref3.y;\n var hasX = offsets.hasOwnProperty('x');\n var hasY = offsets.hasOwnProperty('y');\n var sideX = left;\n var sideY = top;\n var win = window;\n\n if (adaptive) {\n var offsetParent = getOffsetParent(popper);\n var heightProp = 'clientHeight';\n var widthProp = 'clientWidth';\n\n if (offsetParent === getWindow(popper)) {\n offsetParent = getDocumentElement(popper);\n\n if (getComputedStyle(offsetParent).position !== 'static' && position === 'absolute') {\n heightProp = 'scrollHeight';\n widthProp = 'scrollWidth';\n }\n } // $FlowFixMe[incompatible-cast]: force type refinement, we compare offsetParent with window above, but Flow doesn't detect it\n\n\n offsetParent = offsetParent;\n\n if (placement === top || (placement === left || placement === right) && variation === end) {\n sideY = bottom;\n var offsetY = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.height : // $FlowFixMe[prop-missing]\n offsetParent[heightProp];\n y -= offsetY - popperRect.height;\n y *= gpuAcceleration ? 1 : -1;\n }\n\n if (placement === left || (placement === top || placement === bottom) && variation === end) {\n sideX = right;\n var offsetX = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.width : // $FlowFixMe[prop-missing]\n offsetParent[widthProp];\n x -= offsetX - popperRect.width;\n x *= gpuAcceleration ? 1 : -1;\n }\n }\n\n var commonStyles = Object.assign({\n position: position\n }, adaptive && unsetSides);\n\n var _ref4 = roundOffsets === true ? roundOffsetsByDPR({\n x: x,\n y: y\n }, getWindow(popper)) : {\n x: x,\n y: y\n };\n\n x = _ref4.x;\n y = _ref4.y;\n\n if (gpuAcceleration) {\n var _Object$assign;\n\n return Object.assign({}, commonStyles, (_Object$assign = {}, _Object$assign[sideY] = hasY ? '0' : '', _Object$assign[sideX] = hasX ? '0' : '', _Object$assign.transform = (win.devicePixelRatio || 1) <= 1 ? \"translate(\" + x + \"px, \" + y + \"px)\" : \"translate3d(\" + x + \"px, \" + y + \"px, 0)\", _Object$assign));\n }\n\n return Object.assign({}, commonStyles, (_Object$assign2 = {}, _Object$assign2[sideY] = hasY ? y + \"px\" : '', _Object$assign2[sideX] = hasX ? x + \"px\" : '', _Object$assign2.transform = '', _Object$assign2));\n}\n\nfunction computeStyles(_ref5) {\n var state = _ref5.state,\n options = _ref5.options;\n var _options$gpuAccelerat = options.gpuAcceleration,\n gpuAcceleration = _options$gpuAccelerat === void 0 ? true : _options$gpuAccelerat,\n _options$adaptive = options.adaptive,\n adaptive = _options$adaptive === void 0 ? true : _options$adaptive,\n _options$roundOffsets = options.roundOffsets,\n roundOffsets = _options$roundOffsets === void 0 ? true : _options$roundOffsets;\n var commonStyles = {\n placement: getBasePlacement(state.placement),\n variation: getVariation(state.placement),\n popper: state.elements.popper,\n popperRect: state.rects.popper,\n gpuAcceleration: gpuAcceleration,\n isFixed: state.options.strategy === 'fixed'\n };\n\n if (state.modifiersData.popperOffsets != null) {\n state.styles.popper = Object.assign({}, state.styles.popper, mapToStyles(Object.assign({}, commonStyles, {\n offsets: state.modifiersData.popperOffsets,\n position: state.options.strategy,\n adaptive: adaptive,\n roundOffsets: roundOffsets\n })));\n }\n\n if (state.modifiersData.arrow != null) {\n state.styles.arrow = Object.assign({}, state.styles.arrow, mapToStyles(Object.assign({}, commonStyles, {\n offsets: state.modifiersData.arrow,\n position: 'absolute',\n adaptive: false,\n roundOffsets: roundOffsets\n })));\n }\n\n state.attributes.popper = Object.assign({}, state.attributes.popper, {\n 'data-popper-placement': state.placement\n });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'computeStyles',\n enabled: true,\n phase: 'beforeWrite',\n fn: computeStyles,\n data: {}\n};","import getWindow from \"../dom-utils/getWindow.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar passive = {\n passive: true\n};\n\nfunction effect(_ref) {\n var state = _ref.state,\n instance = _ref.instance,\n options = _ref.options;\n var _options$scroll = options.scroll,\n scroll = _options$scroll === void 0 ? true : _options$scroll,\n _options$resize = options.resize,\n resize = _options$resize === void 0 ? true : _options$resize;\n var window = getWindow(state.elements.popper);\n var scrollParents = [].concat(state.scrollParents.reference, state.scrollParents.popper);\n\n if (scroll) {\n scrollParents.forEach(function (scrollParent) {\n scrollParent.addEventListener('scroll', instance.update, passive);\n });\n }\n\n if (resize) {\n window.addEventListener('resize', instance.update, passive);\n }\n\n return function () {\n if (scroll) {\n scrollParents.forEach(function (scrollParent) {\n scrollParent.removeEventListener('scroll', instance.update, passive);\n });\n }\n\n if (resize) {\n window.removeEventListener('resize', instance.update, passive);\n }\n };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'eventListeners',\n enabled: true,\n phase: 'write',\n fn: function fn() {},\n effect: effect,\n data: {}\n};","var hash = {\n left: 'right',\n right: 'left',\n bottom: 'top',\n top: 'bottom'\n};\nexport default function getOppositePlacement(placement) {\n return placement.replace(/left|right|bottom|top/g, function (matched) {\n return hash[matched];\n });\n}","var hash = {\n start: 'end',\n end: 'start'\n};\nexport default function getOppositeVariationPlacement(placement) {\n return placement.replace(/start|end/g, function (matched) {\n return hash[matched];\n });\n}","import getWindow from \"./getWindow.js\";\nexport default function getWindowScroll(node) {\n var win = getWindow(node);\n var scrollLeft = win.pageXOffset;\n var scrollTop = win.pageYOffset;\n return {\n scrollLeft: scrollLeft,\n scrollTop: scrollTop\n };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nexport default function getWindowScrollBarX(element) {\n // If has a CSS width greater than the viewport, then this will be\n // incorrect for RTL.\n // Popper 1 is broken in this case and never had a bug report so let's assume\n // it's not an issue. I don't think anyone ever specifies width on \n // anyway.\n // Browsers where the left scrollbar doesn't cause an issue report `0` for\n // this (e.g. Edge 2019, IE11, Safari)\n return getBoundingClientRect(getDocumentElement(element)).left + getWindowScroll(element).scrollLeft;\n}","import getComputedStyle from \"./getComputedStyle.js\";\nexport default function isScrollParent(element) {\n // Firefox wants us to check `-x` and `-y` variations as well\n var _getComputedStyle = getComputedStyle(element),\n overflow = _getComputedStyle.overflow,\n overflowX = _getComputedStyle.overflowX,\n overflowY = _getComputedStyle.overflowY;\n\n return /auto|scroll|overlay|hidden/.test(overflow + overflowY + overflowX);\n}","import getParentNode from \"./getParentNode.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nexport default function getScrollParent(node) {\n if (['html', 'body', '#document'].indexOf(getNodeName(node)) >= 0) {\n // $FlowFixMe[incompatible-return]: assume body is always available\n return node.ownerDocument.body;\n }\n\n if (isHTMLElement(node) && isScrollParent(node)) {\n return node;\n }\n\n return getScrollParent(getParentNode(node));\n}","import getScrollParent from \"./getScrollParent.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getWindow from \"./getWindow.js\";\nimport isScrollParent from \"./isScrollParent.js\";\n/*\ngiven a DOM element, return the list of all scroll parents, up the list of ancesors\nuntil we get to the top window object. This list is what we attach scroll listeners\nto, because if any of these parent elements scroll, we'll need to re-calculate the\nreference element's position.\n*/\n\nexport default function listScrollParents(element, list) {\n var _element$ownerDocumen;\n\n if (list === void 0) {\n list = [];\n }\n\n var scrollParent = getScrollParent(element);\n var isBody = scrollParent === ((_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body);\n var win = getWindow(scrollParent);\n var target = isBody ? [win].concat(win.visualViewport || [], isScrollParent(scrollParent) ? scrollParent : []) : scrollParent;\n var updatedList = list.concat(target);\n return isBody ? updatedList : // $FlowFixMe[incompatible-call]: isBody tells us target will be an HTMLElement here\n updatedList.concat(listScrollParents(getParentNode(target)));\n}","export default function rectToClientRect(rect) {\n return Object.assign({}, rect, {\n left: rect.x,\n top: rect.y,\n right: rect.x + rect.width,\n bottom: rect.y + rect.height\n });\n}","import { viewport } from \"../enums.js\";\nimport getViewportRect from \"./getViewportRect.js\";\nimport getDocumentRect from \"./getDocumentRect.js\";\nimport listScrollParents from \"./listScrollParents.js\";\nimport getOffsetParent from \"./getOffsetParent.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport contains from \"./contains.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport rectToClientRect from \"../utils/rectToClientRect.js\";\nimport { max, min } from \"../utils/math.js\";\n\nfunction getInnerBoundingClientRect(element, strategy) {\n var rect = getBoundingClientRect(element, false, strategy === 'fixed');\n rect.top = rect.top + element.clientTop;\n rect.left = rect.left + element.clientLeft;\n rect.bottom = rect.top + element.clientHeight;\n rect.right = rect.left + element.clientWidth;\n rect.width = element.clientWidth;\n rect.height = element.clientHeight;\n rect.x = rect.left;\n rect.y = rect.top;\n return rect;\n}\n\nfunction getClientRectFromMixedType(element, clippingParent, strategy) {\n return clippingParent === viewport ? rectToClientRect(getViewportRect(element, strategy)) : isElement(clippingParent) ? getInnerBoundingClientRect(clippingParent, strategy) : rectToClientRect(getDocumentRect(getDocumentElement(element)));\n} // A \"clipping parent\" is an overflowable container with the characteristic of\n// clipping (or hiding) overflowing elements with a position different from\n// `initial`\n\n\nfunction getClippingParents(element) {\n var clippingParents = listScrollParents(getParentNode(element));\n var canEscapeClipping = ['absolute', 'fixed'].indexOf(getComputedStyle(element).position) >= 0;\n var clipperElement = canEscapeClipping && isHTMLElement(element) ? getOffsetParent(element) : element;\n\n if (!isElement(clipperElement)) {\n return [];\n } // $FlowFixMe[incompatible-return]: https://github.com/facebook/flow/issues/1414\n\n\n return clippingParents.filter(function (clippingParent) {\n return isElement(clippingParent) && contains(clippingParent, clipperElement) && getNodeName(clippingParent) !== 'body';\n });\n} // Gets the maximum area that the element is visible in due to any number of\n// clipping parents\n\n\nexport default function getClippingRect(element, boundary, rootBoundary, strategy) {\n var mainClippingParents = boundary === 'clippingParents' ? getClippingParents(element) : [].concat(boundary);\n var clippingParents = [].concat(mainClippingParents, [rootBoundary]);\n var firstClippingParent = clippingParents[0];\n var clippingRect = clippingParents.reduce(function (accRect, clippingParent) {\n var rect = getClientRectFromMixedType(element, clippingParent, strategy);\n accRect.top = max(rect.top, accRect.top);\n accRect.right = min(rect.right, accRect.right);\n accRect.bottom = min(rect.bottom, accRect.bottom);\n accRect.left = max(rect.left, accRect.left);\n return accRect;\n }, getClientRectFromMixedType(element, firstClippingParent, strategy));\n clippingRect.width = clippingRect.right - clippingRect.left;\n clippingRect.height = clippingRect.bottom - clippingRect.top;\n clippingRect.x = clippingRect.left;\n clippingRect.y = clippingRect.top;\n return clippingRect;\n}","import getWindow from \"./getWindow.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getViewportRect(element, strategy) {\n var win = getWindow(element);\n var html = getDocumentElement(element);\n var visualViewport = win.visualViewport;\n var width = html.clientWidth;\n var height = html.clientHeight;\n var x = 0;\n var y = 0;\n\n if (visualViewport) {\n width = visualViewport.width;\n height = visualViewport.height;\n var layoutViewport = isLayoutViewport();\n\n if (layoutViewport || !layoutViewport && strategy === 'fixed') {\n x = visualViewport.offsetLeft;\n y = visualViewport.offsetTop;\n }\n }\n\n return {\n width: width,\n height: height,\n x: x + getWindowScrollBarX(element),\n y: y\n };\n}","import getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nimport { max } from \"../utils/math.js\"; // Gets the entire size of the scrollable document area, even extending outside\n// of the `` and `` rect bounds if horizontally scrollable\n\nexport default function getDocumentRect(element) {\n var _element$ownerDocumen;\n\n var html = getDocumentElement(element);\n var winScroll = getWindowScroll(element);\n var body = (_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body;\n var width = max(html.scrollWidth, html.clientWidth, body ? body.scrollWidth : 0, body ? body.clientWidth : 0);\n var height = max(html.scrollHeight, html.clientHeight, body ? body.scrollHeight : 0, body ? body.clientHeight : 0);\n var x = -winScroll.scrollLeft + getWindowScrollBarX(element);\n var y = -winScroll.scrollTop;\n\n if (getComputedStyle(body || html).direction === 'rtl') {\n x += max(html.clientWidth, body ? body.clientWidth : 0) - width;\n }\n\n return {\n width: width,\n height: height,\n x: x,\n y: y\n };\n}","import getBasePlacement from \"./getBasePlacement.js\";\nimport getVariation from \"./getVariation.js\";\nimport getMainAxisFromPlacement from \"./getMainAxisFromPlacement.js\";\nimport { top, right, bottom, left, start, end } from \"../enums.js\";\nexport default function computeOffsets(_ref) {\n var reference = _ref.reference,\n element = _ref.element,\n placement = _ref.placement;\n var basePlacement = placement ? getBasePlacement(placement) : null;\n var variation = placement ? getVariation(placement) : null;\n var commonX = reference.x + reference.width / 2 - element.width / 2;\n var commonY = reference.y + reference.height / 2 - element.height / 2;\n var offsets;\n\n switch (basePlacement) {\n case top:\n offsets = {\n x: commonX,\n y: reference.y - element.height\n };\n break;\n\n case bottom:\n offsets = {\n x: commonX,\n y: reference.y + reference.height\n };\n break;\n\n case right:\n offsets = {\n x: reference.x + reference.width,\n y: commonY\n };\n break;\n\n case left:\n offsets = {\n x: reference.x - element.width,\n y: commonY\n };\n break;\n\n default:\n offsets = {\n x: reference.x,\n y: reference.y\n };\n }\n\n var mainAxis = basePlacement ? getMainAxisFromPlacement(basePlacement) : null;\n\n if (mainAxis != null) {\n var len = mainAxis === 'y' ? 'height' : 'width';\n\n switch (variation) {\n case start:\n offsets[mainAxis] = offsets[mainAxis] - (reference[len] / 2 - element[len] / 2);\n break;\n\n case end:\n offsets[mainAxis] = offsets[mainAxis] + (reference[len] / 2 - element[len] / 2);\n break;\n\n default:\n }\n }\n\n return offsets;\n}","import getClippingRect from \"../dom-utils/getClippingRect.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getBoundingClientRect from \"../dom-utils/getBoundingClientRect.js\";\nimport computeOffsets from \"./computeOffsets.js\";\nimport rectToClientRect from \"./rectToClientRect.js\";\nimport { clippingParents, reference, popper, bottom, top, right, basePlacements, viewport } from \"../enums.js\";\nimport { isElement } from \"../dom-utils/instanceOf.js\";\nimport mergePaddingObject from \"./mergePaddingObject.js\";\nimport expandToHashMap from \"./expandToHashMap.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport default function detectOverflow(state, options) {\n if (options === void 0) {\n options = {};\n }\n\n var _options = options,\n _options$placement = _options.placement,\n placement = _options$placement === void 0 ? state.placement : _options$placement,\n _options$strategy = _options.strategy,\n strategy = _options$strategy === void 0 ? state.strategy : _options$strategy,\n _options$boundary = _options.boundary,\n boundary = _options$boundary === void 0 ? clippingParents : _options$boundary,\n _options$rootBoundary = _options.rootBoundary,\n rootBoundary = _options$rootBoundary === void 0 ? viewport : _options$rootBoundary,\n _options$elementConte = _options.elementContext,\n elementContext = _options$elementConte === void 0 ? popper : _options$elementConte,\n _options$altBoundary = _options.altBoundary,\n altBoundary = _options$altBoundary === void 0 ? false : _options$altBoundary,\n _options$padding = _options.padding,\n padding = _options$padding === void 0 ? 0 : _options$padding;\n var paddingObject = mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n var altContext = elementContext === popper ? reference : popper;\n var popperRect = state.rects.popper;\n var element = state.elements[altBoundary ? altContext : elementContext];\n var clippingClientRect = getClippingRect(isElement(element) ? element : element.contextElement || getDocumentElement(state.elements.popper), boundary, rootBoundary, strategy);\n var referenceClientRect = getBoundingClientRect(state.elements.reference);\n var popperOffsets = computeOffsets({\n reference: referenceClientRect,\n element: popperRect,\n strategy: 'absolute',\n placement: placement\n });\n var popperClientRect = rectToClientRect(Object.assign({}, popperRect, popperOffsets));\n var elementClientRect = elementContext === popper ? popperClientRect : referenceClientRect; // positive = overflowing the clipping rect\n // 0 or negative = within the clipping rect\n\n var overflowOffsets = {\n top: clippingClientRect.top - elementClientRect.top + paddingObject.top,\n bottom: elementClientRect.bottom - clippingClientRect.bottom + paddingObject.bottom,\n left: clippingClientRect.left - elementClientRect.left + paddingObject.left,\n right: elementClientRect.right - clippingClientRect.right + paddingObject.right\n };\n var offsetData = state.modifiersData.offset; // Offsets can be applied only to the popper element\n\n if (elementContext === popper && offsetData) {\n var offset = offsetData[placement];\n Object.keys(overflowOffsets).forEach(function (key) {\n var multiply = [right, bottom].indexOf(key) >= 0 ? 1 : -1;\n var axis = [top, bottom].indexOf(key) >= 0 ? 'y' : 'x';\n overflowOffsets[key] += offset[axis] * multiply;\n });\n }\n\n return overflowOffsets;\n}","import getVariation from \"./getVariation.js\";\nimport { variationPlacements, basePlacements, placements as allPlacements } from \"../enums.js\";\nimport detectOverflow from \"./detectOverflow.js\";\nimport getBasePlacement from \"./getBasePlacement.js\";\nexport default function computeAutoPlacement(state, options) {\n if (options === void 0) {\n options = {};\n }\n\n var _options = options,\n placement = _options.placement,\n boundary = _options.boundary,\n rootBoundary = _options.rootBoundary,\n padding = _options.padding,\n flipVariations = _options.flipVariations,\n _options$allowedAutoP = _options.allowedAutoPlacements,\n allowedAutoPlacements = _options$allowedAutoP === void 0 ? allPlacements : _options$allowedAutoP;\n var variation = getVariation(placement);\n var placements = variation ? flipVariations ? variationPlacements : variationPlacements.filter(function (placement) {\n return getVariation(placement) === variation;\n }) : basePlacements;\n var allowedPlacements = placements.filter(function (placement) {\n return allowedAutoPlacements.indexOf(placement) >= 0;\n });\n\n if (allowedPlacements.length === 0) {\n allowedPlacements = placements;\n } // $FlowFixMe[incompatible-type]: Flow seems to have problems with two array unions...\n\n\n var overflows = allowedPlacements.reduce(function (acc, placement) {\n acc[placement] = detectOverflow(state, {\n placement: placement,\n boundary: boundary,\n rootBoundary: rootBoundary,\n padding: padding\n })[getBasePlacement(placement)];\n return acc;\n }, {});\n return Object.keys(overflows).sort(function (a, b) {\n return overflows[a] - overflows[b];\n });\n}","import getOppositePlacement from \"../utils/getOppositePlacement.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getOppositeVariationPlacement from \"../utils/getOppositeVariationPlacement.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport computeAutoPlacement from \"../utils/computeAutoPlacement.js\";\nimport { bottom, top, start, right, left, auto } from \"../enums.js\";\nimport getVariation from \"../utils/getVariation.js\"; // eslint-disable-next-line import/no-unused-modules\n\nfunction getExpandedFallbackPlacements(placement) {\n if (getBasePlacement(placement) === auto) {\n return [];\n }\n\n var oppositePlacement = getOppositePlacement(placement);\n return [getOppositeVariationPlacement(placement), oppositePlacement, getOppositeVariationPlacement(oppositePlacement)];\n}\n\nfunction flip(_ref) {\n var state = _ref.state,\n options = _ref.options,\n name = _ref.name;\n\n if (state.modifiersData[name]._skip) {\n return;\n }\n\n var _options$mainAxis = options.mainAxis,\n checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n _options$altAxis = options.altAxis,\n checkAltAxis = _options$altAxis === void 0 ? true : _options$altAxis,\n specifiedFallbackPlacements = options.fallbackPlacements,\n padding = options.padding,\n boundary = options.boundary,\n rootBoundary = options.rootBoundary,\n altBoundary = options.altBoundary,\n _options$flipVariatio = options.flipVariations,\n flipVariations = _options$flipVariatio === void 0 ? true : _options$flipVariatio,\n allowedAutoPlacements = options.allowedAutoPlacements;\n var preferredPlacement = state.options.placement;\n var basePlacement = getBasePlacement(preferredPlacement);\n var isBasePlacement = basePlacement === preferredPlacement;\n var fallbackPlacements = specifiedFallbackPlacements || (isBasePlacement || !flipVariations ? [getOppositePlacement(preferredPlacement)] : getExpandedFallbackPlacements(preferredPlacement));\n var placements = [preferredPlacement].concat(fallbackPlacements).reduce(function (acc, placement) {\n return acc.concat(getBasePlacement(placement) === auto ? computeAutoPlacement(state, {\n placement: placement,\n boundary: boundary,\n rootBoundary: rootBoundary,\n padding: padding,\n flipVariations: flipVariations,\n allowedAutoPlacements: allowedAutoPlacements\n }) : placement);\n }, []);\n var referenceRect = state.rects.reference;\n var popperRect = state.rects.popper;\n var checksMap = new Map();\n var makeFallbackChecks = true;\n var firstFittingPlacement = placements[0];\n\n for (var i = 0; i < placements.length; i++) {\n var placement = placements[i];\n\n var _basePlacement = getBasePlacement(placement);\n\n var isStartVariation = getVariation(placement) === start;\n var isVertical = [top, bottom].indexOf(_basePlacement) >= 0;\n var len = isVertical ? 'width' : 'height';\n var overflow = detectOverflow(state, {\n placement: placement,\n boundary: boundary,\n rootBoundary: rootBoundary,\n altBoundary: altBoundary,\n padding: padding\n });\n var mainVariationSide = isVertical ? isStartVariation ? right : left : isStartVariation ? bottom : top;\n\n if (referenceRect[len] > popperRect[len]) {\n mainVariationSide = getOppositePlacement(mainVariationSide);\n }\n\n var altVariationSide = getOppositePlacement(mainVariationSide);\n var checks = [];\n\n if (checkMainAxis) {\n checks.push(overflow[_basePlacement] <= 0);\n }\n\n if (checkAltAxis) {\n checks.push(overflow[mainVariationSide] <= 0, overflow[altVariationSide] <= 0);\n }\n\n if (checks.every(function (check) {\n return check;\n })) {\n firstFittingPlacement = placement;\n makeFallbackChecks = false;\n break;\n }\n\n checksMap.set(placement, checks);\n }\n\n if (makeFallbackChecks) {\n // `2` may be desired in some cases – research later\n var numberOfChecks = flipVariations ? 3 : 1;\n\n var _loop = function _loop(_i) {\n var fittingPlacement = placements.find(function (placement) {\n var checks = checksMap.get(placement);\n\n if (checks) {\n return checks.slice(0, _i).every(function (check) {\n return check;\n });\n }\n });\n\n if (fittingPlacement) {\n firstFittingPlacement = fittingPlacement;\n return \"break\";\n }\n };\n\n for (var _i = numberOfChecks; _i > 0; _i--) {\n var _ret = _loop(_i);\n\n if (_ret === \"break\") break;\n }\n }\n\n if (state.placement !== firstFittingPlacement) {\n state.modifiersData[name]._skip = true;\n state.placement = firstFittingPlacement;\n state.reset = true;\n }\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'flip',\n enabled: true,\n phase: 'main',\n fn: flip,\n requiresIfExists: ['offset'],\n data: {\n _skip: false\n }\n};","import { top, bottom, left, right } from \"../enums.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\n\nfunction getSideOffsets(overflow, rect, preventedOffsets) {\n if (preventedOffsets === void 0) {\n preventedOffsets = {\n x: 0,\n y: 0\n };\n }\n\n return {\n top: overflow.top - rect.height - preventedOffsets.y,\n right: overflow.right - rect.width + preventedOffsets.x,\n bottom: overflow.bottom - rect.height + preventedOffsets.y,\n left: overflow.left - rect.width - preventedOffsets.x\n };\n}\n\nfunction isAnySideFullyClipped(overflow) {\n return [top, right, bottom, left].some(function (side) {\n return overflow[side] >= 0;\n });\n}\n\nfunction hide(_ref) {\n var state = _ref.state,\n name = _ref.name;\n var referenceRect = state.rects.reference;\n var popperRect = state.rects.popper;\n var preventedOffsets = state.modifiersData.preventOverflow;\n var referenceOverflow = detectOverflow(state, {\n elementContext: 'reference'\n });\n var popperAltOverflow = detectOverflow(state, {\n altBoundary: true\n });\n var referenceClippingOffsets = getSideOffsets(referenceOverflow, referenceRect);\n var popperEscapeOffsets = getSideOffsets(popperAltOverflow, popperRect, preventedOffsets);\n var isReferenceHidden = isAnySideFullyClipped(referenceClippingOffsets);\n var hasPopperEscaped = isAnySideFullyClipped(popperEscapeOffsets);\n state.modifiersData[name] = {\n referenceClippingOffsets: referenceClippingOffsets,\n popperEscapeOffsets: popperEscapeOffsets,\n isReferenceHidden: isReferenceHidden,\n hasPopperEscaped: hasPopperEscaped\n };\n state.attributes.popper = Object.assign({}, state.attributes.popper, {\n 'data-popper-reference-hidden': isReferenceHidden,\n 'data-popper-escaped': hasPopperEscaped\n });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'hide',\n enabled: true,\n phase: 'main',\n requiresIfExists: ['preventOverflow'],\n fn: hide\n};","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport { top, left, right, placements } from \"../enums.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport function distanceAndSkiddingToXY(placement, rects, offset) {\n var basePlacement = getBasePlacement(placement);\n var invertDistance = [left, top].indexOf(basePlacement) >= 0 ? -1 : 1;\n\n var _ref = typeof offset === 'function' ? offset(Object.assign({}, rects, {\n placement: placement\n })) : offset,\n skidding = _ref[0],\n distance = _ref[1];\n\n skidding = skidding || 0;\n distance = (distance || 0) * invertDistance;\n return [left, right].indexOf(basePlacement) >= 0 ? {\n x: distance,\n y: skidding\n } : {\n x: skidding,\n y: distance\n };\n}\n\nfunction offset(_ref2) {\n var state = _ref2.state,\n options = _ref2.options,\n name = _ref2.name;\n var _options$offset = options.offset,\n offset = _options$offset === void 0 ? [0, 0] : _options$offset;\n var data = placements.reduce(function (acc, placement) {\n acc[placement] = distanceAndSkiddingToXY(placement, state.rects, offset);\n return acc;\n }, {});\n var _data$state$placement = data[state.placement],\n x = _data$state$placement.x,\n y = _data$state$placement.y;\n\n if (state.modifiersData.popperOffsets != null) {\n state.modifiersData.popperOffsets.x += x;\n state.modifiersData.popperOffsets.y += y;\n }\n\n state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'offset',\n enabled: true,\n phase: 'main',\n requires: ['popperOffsets'],\n fn: offset\n};","import computeOffsets from \"../utils/computeOffsets.js\";\n\nfunction popperOffsets(_ref) {\n var state = _ref.state,\n name = _ref.name;\n // Offsets are the actual position the popper needs to have to be\n // properly positioned near its reference element\n // This is the most basic placement, and will be adjusted by\n // the modifiers in the next step\n state.modifiersData[name] = computeOffsets({\n reference: state.rects.reference,\n element: state.rects.popper,\n strategy: 'absolute',\n placement: state.placement\n });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'popperOffsets',\n enabled: true,\n phase: 'read',\n fn: popperOffsets,\n data: {}\n};","import { top, left, right, bottom, start } from \"../enums.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport getAltAxis from \"../utils/getAltAxis.js\";\nimport { within, withinMaxClamp } from \"../utils/within.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport getFreshSideObject from \"../utils/getFreshSideObject.js\";\nimport { min as mathMin, max as mathMax } from \"../utils/math.js\";\n\nfunction preventOverflow(_ref) {\n var state = _ref.state,\n options = _ref.options,\n name = _ref.name;\n var _options$mainAxis = options.mainAxis,\n checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n _options$altAxis = options.altAxis,\n checkAltAxis = _options$altAxis === void 0 ? false : _options$altAxis,\n boundary = options.boundary,\n rootBoundary = options.rootBoundary,\n altBoundary = options.altBoundary,\n padding = options.padding,\n _options$tether = options.tether,\n tether = _options$tether === void 0 ? true : _options$tether,\n _options$tetherOffset = options.tetherOffset,\n tetherOffset = _options$tetherOffset === void 0 ? 0 : _options$tetherOffset;\n var overflow = detectOverflow(state, {\n boundary: boundary,\n rootBoundary: rootBoundary,\n padding: padding,\n altBoundary: altBoundary\n });\n var basePlacement = getBasePlacement(state.placement);\n var variation = getVariation(state.placement);\n var isBasePlacement = !variation;\n var mainAxis = getMainAxisFromPlacement(basePlacement);\n var altAxis = getAltAxis(mainAxis);\n var popperOffsets = state.modifiersData.popperOffsets;\n var referenceRect = state.rects.reference;\n var popperRect = state.rects.popper;\n var tetherOffsetValue = typeof tetherOffset === 'function' ? tetherOffset(Object.assign({}, state.rects, {\n placement: state.placement\n })) : tetherOffset;\n var normalizedTetherOffsetValue = typeof tetherOffsetValue === 'number' ? {\n mainAxis: tetherOffsetValue,\n altAxis: tetherOffsetValue\n } : Object.assign({\n mainAxis: 0,\n altAxis: 0\n }, tetherOffsetValue);\n var offsetModifierState = state.modifiersData.offset ? state.modifiersData.offset[state.placement] : null;\n var data = {\n x: 0,\n y: 0\n };\n\n if (!popperOffsets) {\n return;\n }\n\n if (checkMainAxis) {\n var _offsetModifierState$;\n\n var mainSide = mainAxis === 'y' ? top : left;\n var altSide = mainAxis === 'y' ? bottom : right;\n var len = mainAxis === 'y' ? 'height' : 'width';\n var offset = popperOffsets[mainAxis];\n var min = offset + overflow[mainSide];\n var max = offset - overflow[altSide];\n var additive = tether ? -popperRect[len] / 2 : 0;\n var minLen = variation === start ? referenceRect[len] : popperRect[len];\n var maxLen = variation === start ? -popperRect[len] : -referenceRect[len]; // We need to include the arrow in the calculation so the arrow doesn't go\n // outside the reference bounds\n\n var arrowElement = state.elements.arrow;\n var arrowRect = tether && arrowElement ? getLayoutRect(arrowElement) : {\n width: 0,\n height: 0\n };\n var arrowPaddingObject = state.modifiersData['arrow#persistent'] ? state.modifiersData['arrow#persistent'].padding : getFreshSideObject();\n var arrowPaddingMin = arrowPaddingObject[mainSide];\n var arrowPaddingMax = arrowPaddingObject[altSide]; // If the reference length is smaller than the arrow length, we don't want\n // to include its full size in the calculation. If the reference is small\n // and near the edge of a boundary, the popper can overflow even if the\n // reference is not overflowing as well (e.g. virtual elements with no\n // width or height)\n\n var arrowLen = within(0, referenceRect[len], arrowRect[len]);\n var minOffset = isBasePlacement ? referenceRect[len] / 2 - additive - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis : minLen - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis;\n var maxOffset = isBasePlacement ? -referenceRect[len] / 2 + additive + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis : maxLen + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis;\n var arrowOffsetParent = state.elements.arrow && getOffsetParent(state.elements.arrow);\n var clientOffset = arrowOffsetParent ? mainAxis === 'y' ? arrowOffsetParent.clientTop || 0 : arrowOffsetParent.clientLeft || 0 : 0;\n var offsetModifierValue = (_offsetModifierState$ = offsetModifierState == null ? void 0 : offsetModifierState[mainAxis]) != null ? _offsetModifierState$ : 0;\n var tetherMin = offset + minOffset - offsetModifierValue - clientOffset;\n var tetherMax = offset + maxOffset - offsetModifierValue;\n var preventedOffset = within(tether ? mathMin(min, tetherMin) : min, offset, tether ? mathMax(max, tetherMax) : max);\n popperOffsets[mainAxis] = preventedOffset;\n data[mainAxis] = preventedOffset - offset;\n }\n\n if (checkAltAxis) {\n var _offsetModifierState$2;\n\n var _mainSide = mainAxis === 'x' ? top : left;\n\n var _altSide = mainAxis === 'x' ? bottom : right;\n\n var _offset = popperOffsets[altAxis];\n\n var _len = altAxis === 'y' ? 'height' : 'width';\n\n var _min = _offset + overflow[_mainSide];\n\n var _max = _offset - overflow[_altSide];\n\n var isOriginSide = [top, left].indexOf(basePlacement) !== -1;\n\n var _offsetModifierValue = (_offsetModifierState$2 = offsetModifierState == null ? void 0 : offsetModifierState[altAxis]) != null ? _offsetModifierState$2 : 0;\n\n var _tetherMin = isOriginSide ? _min : _offset - referenceRect[_len] - popperRect[_len] - _offsetModifierValue + normalizedTetherOffsetValue.altAxis;\n\n var _tetherMax = isOriginSide ? _offset + referenceRect[_len] + popperRect[_len] - _offsetModifierValue - normalizedTetherOffsetValue.altAxis : _max;\n\n var _preventedOffset = tether && isOriginSide ? withinMaxClamp(_tetherMin, _offset, _tetherMax) : within(tether ? _tetherMin : _min, _offset, tether ? _tetherMax : _max);\n\n popperOffsets[altAxis] = _preventedOffset;\n data[altAxis] = _preventedOffset - _offset;\n }\n\n state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'preventOverflow',\n enabled: true,\n phase: 'main',\n fn: preventOverflow,\n requiresIfExists: ['offset']\n};","export default function getAltAxis(axis) {\n return axis === 'x' ? 'y' : 'x';\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getNodeScroll from \"./getNodeScroll.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport { round } from \"../utils/math.js\";\n\nfunction isElementScaled(element) {\n var rect = element.getBoundingClientRect();\n var scaleX = round(rect.width) / element.offsetWidth || 1;\n var scaleY = round(rect.height) / element.offsetHeight || 1;\n return scaleX !== 1 || scaleY !== 1;\n} // Returns the composite rect of an element relative to its offsetParent.\n// Composite means it takes into account transforms as well as layout.\n\n\nexport default function getCompositeRect(elementOrVirtualElement, offsetParent, isFixed) {\n if (isFixed === void 0) {\n isFixed = false;\n }\n\n var isOffsetParentAnElement = isHTMLElement(offsetParent);\n var offsetParentIsScaled = isHTMLElement(offsetParent) && isElementScaled(offsetParent);\n var documentElement = getDocumentElement(offsetParent);\n var rect = getBoundingClientRect(elementOrVirtualElement, offsetParentIsScaled, isFixed);\n var scroll = {\n scrollLeft: 0,\n scrollTop: 0\n };\n var offsets = {\n x: 0,\n y: 0\n };\n\n if (isOffsetParentAnElement || !isOffsetParentAnElement && !isFixed) {\n if (getNodeName(offsetParent) !== 'body' || // https://github.com/popperjs/popper-core/issues/1078\n isScrollParent(documentElement)) {\n scroll = getNodeScroll(offsetParent);\n }\n\n if (isHTMLElement(offsetParent)) {\n offsets = getBoundingClientRect(offsetParent, true);\n offsets.x += offsetParent.clientLeft;\n offsets.y += offsetParent.clientTop;\n } else if (documentElement) {\n offsets.x = getWindowScrollBarX(documentElement);\n }\n }\n\n return {\n x: rect.left + scroll.scrollLeft - offsets.x,\n y: rect.top + scroll.scrollTop - offsets.y,\n width: rect.width,\n height: rect.height\n };\n}","import getWindowScroll from \"./getWindowScroll.js\";\nimport getWindow from \"./getWindow.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getHTMLElementScroll from \"./getHTMLElementScroll.js\";\nexport default function getNodeScroll(node) {\n if (node === getWindow(node) || !isHTMLElement(node)) {\n return getWindowScroll(node);\n } else {\n return getHTMLElementScroll(node);\n }\n}","export default function getHTMLElementScroll(element) {\n return {\n scrollLeft: element.scrollLeft,\n scrollTop: element.scrollTop\n };\n}","import { modifierPhases } from \"../enums.js\"; // source: https://stackoverflow.com/questions/49875255\n\nfunction order(modifiers) {\n var map = new Map();\n var visited = new Set();\n var result = [];\n modifiers.forEach(function (modifier) {\n map.set(modifier.name, modifier);\n }); // On visiting object, check for its dependencies and visit them recursively\n\n function sort(modifier) {\n visited.add(modifier.name);\n var requires = [].concat(modifier.requires || [], modifier.requiresIfExists || []);\n requires.forEach(function (dep) {\n if (!visited.has(dep)) {\n var depModifier = map.get(dep);\n\n if (depModifier) {\n sort(depModifier);\n }\n }\n });\n result.push(modifier);\n }\n\n modifiers.forEach(function (modifier) {\n if (!visited.has(modifier.name)) {\n // check for visited object\n sort(modifier);\n }\n });\n return result;\n}\n\nexport default function orderModifiers(modifiers) {\n // order based on dependencies\n var orderedModifiers = order(modifiers); // order based on phase\n\n return modifierPhases.reduce(function (acc, phase) {\n return acc.concat(orderedModifiers.filter(function (modifier) {\n return modifier.phase === phase;\n }));\n }, []);\n}","import getCompositeRect from \"./dom-utils/getCompositeRect.js\";\nimport getLayoutRect from \"./dom-utils/getLayoutRect.js\";\nimport listScrollParents from \"./dom-utils/listScrollParents.js\";\nimport getOffsetParent from \"./dom-utils/getOffsetParent.js\";\nimport orderModifiers from \"./utils/orderModifiers.js\";\nimport debounce from \"./utils/debounce.js\";\nimport mergeByName from \"./utils/mergeByName.js\";\nimport detectOverflow from \"./utils/detectOverflow.js\";\nimport { isElement } from \"./dom-utils/instanceOf.js\";\nvar DEFAULT_OPTIONS = {\n placement: 'bottom',\n modifiers: [],\n strategy: 'absolute'\n};\n\nfunction areValidElements() {\n for (var _len = arguments.length, args = new Array(_len), _key = 0; _key < _len; _key++) {\n args[_key] = arguments[_key];\n }\n\n return !args.some(function (element) {\n return !(element && typeof element.getBoundingClientRect === 'function');\n });\n}\n\nexport function popperGenerator(generatorOptions) {\n if (generatorOptions === void 0) {\n generatorOptions = {};\n }\n\n var _generatorOptions = generatorOptions,\n _generatorOptions$def = _generatorOptions.defaultModifiers,\n defaultModifiers = _generatorOptions$def === void 0 ? [] : _generatorOptions$def,\n _generatorOptions$def2 = _generatorOptions.defaultOptions,\n defaultOptions = _generatorOptions$def2 === void 0 ? DEFAULT_OPTIONS : _generatorOptions$def2;\n return function createPopper(reference, popper, options) {\n if (options === void 0) {\n options = defaultOptions;\n }\n\n var state = {\n placement: 'bottom',\n orderedModifiers: [],\n options: Object.assign({}, DEFAULT_OPTIONS, defaultOptions),\n modifiersData: {},\n elements: {\n reference: reference,\n popper: popper\n },\n attributes: {},\n styles: {}\n };\n var effectCleanupFns = [];\n var isDestroyed = false;\n var instance = {\n state: state,\n setOptions: function setOptions(setOptionsAction) {\n var options = typeof setOptionsAction === 'function' ? setOptionsAction(state.options) : setOptionsAction;\n cleanupModifierEffects();\n state.options = Object.assign({}, defaultOptions, state.options, options);\n state.scrollParents = {\n reference: isElement(reference) ? listScrollParents(reference) : reference.contextElement ? listScrollParents(reference.contextElement) : [],\n popper: listScrollParents(popper)\n }; // Orders the modifiers based on their dependencies and `phase`\n // properties\n\n var orderedModifiers = orderModifiers(mergeByName([].concat(defaultModifiers, state.options.modifiers))); // Strip out disabled modifiers\n\n state.orderedModifiers = orderedModifiers.filter(function (m) {\n return m.enabled;\n });\n runModifierEffects();\n return instance.update();\n },\n // Sync update – it will always be executed, even if not necessary. This\n // is useful for low frequency updates where sync behavior simplifies the\n // logic.\n // For high frequency updates (e.g. `resize` and `scroll` events), always\n // prefer the async Popper#update method\n forceUpdate: function forceUpdate() {\n if (isDestroyed) {\n return;\n }\n\n var _state$elements = state.elements,\n reference = _state$elements.reference,\n popper = _state$elements.popper; // Don't proceed if `reference` or `popper` are not valid elements\n // anymore\n\n if (!areValidElements(reference, popper)) {\n return;\n } // Store the reference and popper rects to be read by modifiers\n\n\n state.rects = {\n reference: getCompositeRect(reference, getOffsetParent(popper), state.options.strategy === 'fixed'),\n popper: getLayoutRect(popper)\n }; // Modifiers have the ability to reset the current update cycle. The\n // most common use case for this is the `flip` modifier changing the\n // placement, which then needs to re-run all the modifiers, because the\n // logic was previously ran for the previous placement and is therefore\n // stale/incorrect\n\n state.reset = false;\n state.placement = state.options.placement; // On each update cycle, the `modifiersData` property for each modifier\n // is filled with the initial data specified by the modifier. This means\n // it doesn't persist and is fresh on each update.\n // To ensure persistent data, use `${name}#persistent`\n\n state.orderedModifiers.forEach(function (modifier) {\n return state.modifiersData[modifier.name] = Object.assign({}, modifier.data);\n });\n\n for (var index = 0; index < state.orderedModifiers.length; index++) {\n if (state.reset === true) {\n state.reset = false;\n index = -1;\n continue;\n }\n\n var _state$orderedModifie = state.orderedModifiers[index],\n fn = _state$orderedModifie.fn,\n _state$orderedModifie2 = _state$orderedModifie.options,\n _options = _state$orderedModifie2 === void 0 ? {} : _state$orderedModifie2,\n name = _state$orderedModifie.name;\n\n if (typeof fn === 'function') {\n state = fn({\n state: state,\n options: _options,\n name: name,\n instance: instance\n }) || state;\n }\n }\n },\n // Async and optimistically optimized update – it will not be executed if\n // not necessary (debounced to run at most once-per-tick)\n update: debounce(function () {\n return new Promise(function (resolve) {\n instance.forceUpdate();\n resolve(state);\n });\n }),\n destroy: function destroy() {\n cleanupModifierEffects();\n isDestroyed = true;\n }\n };\n\n if (!areValidElements(reference, popper)) {\n return instance;\n }\n\n instance.setOptions(options).then(function (state) {\n if (!isDestroyed && options.onFirstUpdate) {\n options.onFirstUpdate(state);\n }\n }); // Modifiers have the ability to execute arbitrary code before the first\n // update cycle runs. They will be executed in the same order as the update\n // cycle. This is useful when a modifier adds some persistent data that\n // other modifiers need to use, but the modifier is run after the dependent\n // one.\n\n function runModifierEffects() {\n state.orderedModifiers.forEach(function (_ref) {\n var name = _ref.name,\n _ref$options = _ref.options,\n options = _ref$options === void 0 ? {} : _ref$options,\n effect = _ref.effect;\n\n if (typeof effect === 'function') {\n var cleanupFn = effect({\n state: state,\n name: name,\n instance: instance,\n options: options\n });\n\n var noopFn = function noopFn() {};\n\n effectCleanupFns.push(cleanupFn || noopFn);\n }\n });\n }\n\n function cleanupModifierEffects() {\n effectCleanupFns.forEach(function (fn) {\n return fn();\n });\n effectCleanupFns = [];\n }\n\n return instance;\n };\n}\nexport var createPopper = /*#__PURE__*/popperGenerator(); // eslint-disable-next-line import/no-unused-modules\n\nexport { detectOverflow };","export default function debounce(fn) {\n var pending;\n return function () {\n if (!pending) {\n pending = new Promise(function (resolve) {\n Promise.resolve().then(function () {\n pending = undefined;\n resolve(fn());\n });\n });\n }\n\n return pending;\n };\n}","export default function mergeByName(modifiers) {\n var merged = modifiers.reduce(function (merged, current) {\n var existing = merged[current.name];\n merged[current.name] = existing ? Object.assign({}, existing, current, {\n options: Object.assign({}, existing.options, current.options),\n data: Object.assign({}, existing.data, current.data)\n }) : current;\n return merged;\n }, {}); // IE11 does not support Object.values\n\n return Object.keys(merged).map(function (key) {\n return merged[key];\n });\n}","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles];\nvar createPopper = /*#__PURE__*/popperGenerator({\n defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow };","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nimport offset from \"./modifiers/offset.js\";\nimport flip from \"./modifiers/flip.js\";\nimport preventOverflow from \"./modifiers/preventOverflow.js\";\nimport arrow from \"./modifiers/arrow.js\";\nimport hide from \"./modifiers/hide.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles, offset, flip, preventOverflow, arrow, hide];\nvar createPopper = /*#__PURE__*/popperGenerator({\n defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow }; // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper as createPopperLite } from \"./popper-lite.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport * from \"./modifiers/index.js\";","/**\n * --------------------------------------------------------------------------\n * Bootstrap dropdown.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport * as Popper from '@popperjs/core'\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport Manipulator from './dom/manipulator.js'\nimport SelectorEngine from './dom/selector-engine.js'\nimport {\n defineJQueryPlugin,\n execute,\n getElement,\n getNextActiveElement,\n isDisabled,\n isElement,\n isRTL,\n isVisible,\n noop\n} from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'dropdown'\nconst DATA_KEY = 'bs.dropdown'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst ESCAPE_KEY = 'Escape'\nconst TAB_KEY = 'Tab'\nconst ARROW_UP_KEY = 'ArrowUp'\nconst ARROW_DOWN_KEY = 'ArrowDown'\nconst RIGHT_MOUSE_BUTTON = 2 // MouseEvent.button value for the secondary button, usually the right button\n\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\nconst EVENT_KEYDOWN_DATA_API = `keydown${EVENT_KEY}${DATA_API_KEY}`\nconst EVENT_KEYUP_DATA_API = `keyup${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_DROPUP = 'dropup'\nconst CLASS_NAME_DROPEND = 'dropend'\nconst CLASS_NAME_DROPSTART = 'dropstart'\nconst CLASS_NAME_DROPUP_CENTER = 'dropup-center'\nconst CLASS_NAME_DROPDOWN_CENTER = 'dropdown-center'\n\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"dropdown\"]:not(.disabled):not(:disabled)'\nconst SELECTOR_DATA_TOGGLE_SHOWN = `${SELECTOR_DATA_TOGGLE}.${CLASS_NAME_SHOW}`\nconst SELECTOR_MENU = '.dropdown-menu'\nconst SELECTOR_NAVBAR = '.navbar'\nconst SELECTOR_NAVBAR_NAV = '.navbar-nav'\nconst SELECTOR_VISIBLE_ITEMS = '.dropdown-menu .dropdown-item:not(.disabled):not(:disabled)'\n\nconst PLACEMENT_TOP = isRTL() ? 'top-end' : 'top-start'\nconst PLACEMENT_TOPEND = isRTL() ? 'top-start' : 'top-end'\nconst PLACEMENT_BOTTOM = isRTL() ? 'bottom-end' : 'bottom-start'\nconst PLACEMENT_BOTTOMEND = isRTL() ? 'bottom-start' : 'bottom-end'\nconst PLACEMENT_RIGHT = isRTL() ? 'left-start' : 'right-start'\nconst PLACEMENT_LEFT = isRTL() ? 'right-start' : 'left-start'\nconst PLACEMENT_TOPCENTER = 'top'\nconst PLACEMENT_BOTTOMCENTER = 'bottom'\n\nconst Default = {\n autoClose: true,\n boundary: 'clippingParents',\n display: 'dynamic',\n offset: [0, 2],\n popperConfig: null,\n reference: 'toggle'\n}\n\nconst DefaultType = {\n autoClose: '(boolean|string)',\n boundary: '(string|element)',\n display: 'string',\n offset: '(array|string|function)',\n popperConfig: '(null|object|function)',\n reference: '(string|element|object)'\n}\n\n/**\n * Class definition\n */\n\nclass Dropdown extends BaseComponent {\n constructor(element, config) {\n super(element, config)\n\n this._popper = null\n this._parent = this._element.parentNode // dropdown wrapper\n // TODO: v6 revert #37011 & change markup https://getbootstrap.com/docs/5.3/forms/input-group/\n this._menu = SelectorEngine.next(this._element, SELECTOR_MENU)[0] ||\n SelectorEngine.prev(this._element, SELECTOR_MENU)[0] ||\n SelectorEngine.findOne(SELECTOR_MENU, this._parent)\n this._inNavbar = this._detectNavbar()\n }\n\n // Getters\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n toggle() {\n return this._isShown() ? this.hide() : this.show()\n }\n\n show() {\n if (isDisabled(this._element) || this._isShown()) {\n return\n }\n\n const relatedTarget = {\n relatedTarget: this._element\n }\n\n const showEvent = EventHandler.trigger(this._element, EVENT_SHOW, relatedTarget)\n\n if (showEvent.defaultPrevented) {\n return\n }\n\n this._createPopper()\n\n // If this is a touch-enabled device we add extra\n // empty mouseover listeners to the body's immediate children;\n // only needed because of broken event delegation on iOS\n // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n if ('ontouchstart' in document.documentElement && !this._parent.closest(SELECTOR_NAVBAR_NAV)) {\n for (const element of [].concat(...document.body.children)) {\n EventHandler.on(element, 'mouseover', noop)\n }\n }\n\n this._element.focus()\n this._element.setAttribute('aria-expanded', true)\n\n this._menu.classList.add(CLASS_NAME_SHOW)\n this._element.classList.add(CLASS_NAME_SHOW)\n EventHandler.trigger(this._element, EVENT_SHOWN, relatedTarget)\n }\n\n hide() {\n if (isDisabled(this._element) || !this._isShown()) {\n return\n }\n\n const relatedTarget = {\n relatedTarget: this._element\n }\n\n this._completeHide(relatedTarget)\n }\n\n dispose() {\n if (this._popper) {\n this._popper.destroy()\n }\n\n super.dispose()\n }\n\n update() {\n this._inNavbar = this._detectNavbar()\n if (this._popper) {\n this._popper.update()\n }\n }\n\n // Private\n _completeHide(relatedTarget) {\n const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE, relatedTarget)\n if (hideEvent.defaultPrevented) {\n return\n }\n\n // If this is a touch-enabled device we remove the extra\n // empty mouseover listeners we added for iOS support\n if ('ontouchstart' in document.documentElement) {\n for (const element of [].concat(...document.body.children)) {\n EventHandler.off(element, 'mouseover', noop)\n }\n }\n\n if (this._popper) {\n this._popper.destroy()\n }\n\n this._menu.classList.remove(CLASS_NAME_SHOW)\n this._element.classList.remove(CLASS_NAME_SHOW)\n this._element.setAttribute('aria-expanded', 'false')\n Manipulator.removeDataAttribute(this._menu, 'popper')\n EventHandler.trigger(this._element, EVENT_HIDDEN, relatedTarget)\n }\n\n _getConfig(config) {\n config = super._getConfig(config)\n\n if (typeof config.reference === 'object' && !isElement(config.reference) &&\n typeof config.reference.getBoundingClientRect !== 'function'\n ) {\n // Popper virtual elements require a getBoundingClientRect method\n throw new TypeError(`${NAME.toUpperCase()}: Option \"reference\" provided type \"object\" without a required \"getBoundingClientRect\" method.`)\n }\n\n return config\n }\n\n _createPopper() {\n if (typeof Popper === 'undefined') {\n throw new TypeError('Bootstrap\\'s dropdowns require Popper (https://popper.js.org)')\n }\n\n let referenceElement = this._element\n\n if (this._config.reference === 'parent') {\n referenceElement = this._parent\n } else if (isElement(this._config.reference)) {\n referenceElement = getElement(this._config.reference)\n } else if (typeof this._config.reference === 'object') {\n referenceElement = this._config.reference\n }\n\n const popperConfig = this._getPopperConfig()\n this._popper = Popper.createPopper(referenceElement, this._menu, popperConfig)\n }\n\n _isShown() {\n return this._menu.classList.contains(CLASS_NAME_SHOW)\n }\n\n _getPlacement() {\n const parentDropdown = this._parent\n\n if (parentDropdown.classList.contains(CLASS_NAME_DROPEND)) {\n return PLACEMENT_RIGHT\n }\n\n if (parentDropdown.classList.contains(CLASS_NAME_DROPSTART)) {\n return PLACEMENT_LEFT\n }\n\n if (parentDropdown.classList.contains(CLASS_NAME_DROPUP_CENTER)) {\n return PLACEMENT_TOPCENTER\n }\n\n if (parentDropdown.classList.contains(CLASS_NAME_DROPDOWN_CENTER)) {\n return PLACEMENT_BOTTOMCENTER\n }\n\n // We need to trim the value because custom properties can also include spaces\n const isEnd = getComputedStyle(this._menu).getPropertyValue('--bs-position').trim() === 'end'\n\n if (parentDropdown.classList.contains(CLASS_NAME_DROPUP)) {\n return isEnd ? PLACEMENT_TOPEND : PLACEMENT_TOP\n }\n\n return isEnd ? PLACEMENT_BOTTOMEND : PLACEMENT_BOTTOM\n }\n\n _detectNavbar() {\n return this._element.closest(SELECTOR_NAVBAR) !== null\n }\n\n _getOffset() {\n const { offset } = this._config\n\n if (typeof offset === 'string') {\n return offset.split(',').map(value => Number.parseInt(value, 10))\n }\n\n if (typeof offset === 'function') {\n return popperData => offset(popperData, this._element)\n }\n\n return offset\n }\n\n _getPopperConfig() {\n const defaultBsPopperConfig = {\n placement: this._getPlacement(),\n modifiers: [{\n name: 'preventOverflow',\n options: {\n boundary: this._config.boundary\n }\n },\n {\n name: 'offset',\n options: {\n offset: this._getOffset()\n }\n }]\n }\n\n // Disable Popper if we have a static display or Dropdown is in Navbar\n if (this._inNavbar || this._config.display === 'static') {\n Manipulator.setDataAttribute(this._menu, 'popper', 'static') // TODO: v6 remove\n defaultBsPopperConfig.modifiers = [{\n name: 'applyStyles',\n enabled: false\n }]\n }\n\n return {\n ...defaultBsPopperConfig,\n ...execute(this._config.popperConfig, [defaultBsPopperConfig])\n }\n }\n\n _selectMenuItem({ key, target }) {\n const items = SelectorEngine.find(SELECTOR_VISIBLE_ITEMS, this._menu).filter(element => isVisible(element))\n\n if (!items.length) {\n return\n }\n\n // if target isn't included in items (e.g. when expanding the dropdown)\n // allow cycling to get the last item in case key equals ARROW_UP_KEY\n getNextActiveElement(items, target, key === ARROW_DOWN_KEY, !items.includes(target)).focus()\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Dropdown.getOrCreateInstance(this, config)\n\n if (typeof config !== 'string') {\n return\n }\n\n if (typeof data[config] === 'undefined') {\n throw new TypeError(`No method named \"${config}\"`)\n }\n\n data[config]()\n })\n }\n\n static clearMenus(event) {\n if (event.button === RIGHT_MOUSE_BUTTON || (event.type === 'keyup' && event.key !== TAB_KEY)) {\n return\n }\n\n const openToggles = SelectorEngine.find(SELECTOR_DATA_TOGGLE_SHOWN)\n\n for (const toggle of openToggles) {\n const context = Dropdown.getInstance(toggle)\n if (!context || context._config.autoClose === false) {\n continue\n }\n\n const composedPath = event.composedPath()\n const isMenuTarget = composedPath.includes(context._menu)\n if (\n composedPath.includes(context._element) ||\n (context._config.autoClose === 'inside' && !isMenuTarget) ||\n (context._config.autoClose === 'outside' && isMenuTarget)\n ) {\n continue\n }\n\n // Tab navigation through the dropdown menu or events from contained inputs shouldn't close the menu\n if (context._menu.contains(event.target) && ((event.type === 'keyup' && event.key === TAB_KEY) || /input|select|option|textarea|form/i.test(event.target.tagName))) {\n continue\n }\n\n const relatedTarget = { relatedTarget: context._element }\n\n if (event.type === 'click') {\n relatedTarget.clickEvent = event\n }\n\n context._completeHide(relatedTarget)\n }\n }\n\n static dataApiKeydownHandler(event) {\n // If not an UP | DOWN | ESCAPE key => not a dropdown command\n // If input/textarea && if key is other than ESCAPE => not a dropdown command\n\n const isInput = /input|textarea/i.test(event.target.tagName)\n const isEscapeEvent = event.key === ESCAPE_KEY\n const isUpOrDownEvent = [ARROW_UP_KEY, ARROW_DOWN_KEY].includes(event.key)\n\n if (!isUpOrDownEvent && !isEscapeEvent) {\n return\n }\n\n if (isInput && !isEscapeEvent) {\n return\n }\n\n event.preventDefault()\n\n // TODO: v6 revert #37011 & change markup https://getbootstrap.com/docs/5.3/forms/input-group/\n const getToggleButton = this.matches(SELECTOR_DATA_TOGGLE) ?\n this :\n (SelectorEngine.prev(this, SELECTOR_DATA_TOGGLE)[0] ||\n SelectorEngine.next(this, SELECTOR_DATA_TOGGLE)[0] ||\n SelectorEngine.findOne(SELECTOR_DATA_TOGGLE, event.delegateTarget.parentNode))\n\n const instance = Dropdown.getOrCreateInstance(getToggleButton)\n\n if (isUpOrDownEvent) {\n event.stopPropagation()\n instance.show()\n instance._selectMenuItem(event)\n return\n }\n\n if (instance._isShown()) { // else is escape and we check if it is shown\n event.stopPropagation()\n instance.hide()\n getToggleButton.focus()\n }\n }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_DATA_TOGGLE, Dropdown.dataApiKeydownHandler)\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_MENU, Dropdown.dataApiKeydownHandler)\nEventHandler.on(document, EVENT_CLICK_DATA_API, Dropdown.clearMenus)\nEventHandler.on(document, EVENT_KEYUP_DATA_API, Dropdown.clearMenus)\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n event.preventDefault()\n Dropdown.getOrCreateInstance(this).toggle()\n})\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Dropdown)\n\nexport default Dropdown\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/backdrop.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport EventHandler from '../dom/event-handler.js'\nimport Config from './config.js'\nimport { execute, executeAfterTransition, getElement, reflow } from './index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'backdrop'\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_SHOW = 'show'\nconst EVENT_MOUSEDOWN = `mousedown.bs.${NAME}`\n\nconst Default = {\n className: 'modal-backdrop',\n clickCallback: null,\n isAnimated: false,\n isVisible: true, // if false, we use the backdrop helper without adding any element to the dom\n rootElement: 'body' // give the choice to place backdrop under different elements\n}\n\nconst DefaultType = {\n className: 'string',\n clickCallback: '(function|null)',\n isAnimated: 'boolean',\n isVisible: 'boolean',\n rootElement: '(element|string)'\n}\n\n/**\n * Class definition\n */\n\nclass Backdrop extends Config {\n constructor(config) {\n super()\n this._config = this._getConfig(config)\n this._isAppended = false\n this._element = null\n }\n\n // Getters\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n show(callback) {\n if (!this._config.isVisible) {\n execute(callback)\n return\n }\n\n this._append()\n\n const element = this._getElement()\n if (this._config.isAnimated) {\n reflow(element)\n }\n\n element.classList.add(CLASS_NAME_SHOW)\n\n this._emulateAnimation(() => {\n execute(callback)\n })\n }\n\n hide(callback) {\n if (!this._config.isVisible) {\n execute(callback)\n return\n }\n\n this._getElement().classList.remove(CLASS_NAME_SHOW)\n\n this._emulateAnimation(() => {\n this.dispose()\n execute(callback)\n })\n }\n\n dispose() {\n if (!this._isAppended) {\n return\n }\n\n EventHandler.off(this._element, EVENT_MOUSEDOWN)\n\n this._element.remove()\n this._isAppended = false\n }\n\n // Private\n _getElement() {\n if (!this._element) {\n const backdrop = document.createElement('div')\n backdrop.className = this._config.className\n if (this._config.isAnimated) {\n backdrop.classList.add(CLASS_NAME_FADE)\n }\n\n this._element = backdrop\n }\n\n return this._element\n }\n\n _configAfterMerge(config) {\n // use getElement() with the default \"body\" to get a fresh Element on each instantiation\n config.rootElement = getElement(config.rootElement)\n return config\n }\n\n _append() {\n if (this._isAppended) {\n return\n }\n\n const element = this._getElement()\n this._config.rootElement.append(element)\n\n EventHandler.on(element, EVENT_MOUSEDOWN, () => {\n execute(this._config.clickCallback)\n })\n\n this._isAppended = true\n }\n\n _emulateAnimation(callback) {\n executeAfterTransition(callback, this._getElement(), this._config.isAnimated)\n }\n}\n\nexport default Backdrop\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/focustrap.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport EventHandler from '../dom/event-handler.js'\nimport SelectorEngine from '../dom/selector-engine.js'\nimport Config from './config.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'focustrap'\nconst DATA_KEY = 'bs.focustrap'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst EVENT_FOCUSIN = `focusin${EVENT_KEY}`\nconst EVENT_KEYDOWN_TAB = `keydown.tab${EVENT_KEY}`\n\nconst TAB_KEY = 'Tab'\nconst TAB_NAV_FORWARD = 'forward'\nconst TAB_NAV_BACKWARD = 'backward'\n\nconst Default = {\n autofocus: true,\n trapElement: null // The element to trap focus inside of\n}\n\nconst DefaultType = {\n autofocus: 'boolean',\n trapElement: 'element'\n}\n\n/**\n * Class definition\n */\n\nclass FocusTrap extends Config {\n constructor(config) {\n super()\n this._config = this._getConfig(config)\n this._isActive = false\n this._lastTabNavDirection = null\n }\n\n // Getters\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n activate() {\n if (this._isActive) {\n return\n }\n\n if (this._config.autofocus) {\n this._config.trapElement.focus()\n }\n\n EventHandler.off(document, EVENT_KEY) // guard against infinite focus loop\n EventHandler.on(document, EVENT_FOCUSIN, event => this._handleFocusin(event))\n EventHandler.on(document, EVENT_KEYDOWN_TAB, event => this._handleKeydown(event))\n\n this._isActive = true\n }\n\n deactivate() {\n if (!this._isActive) {\n return\n }\n\n this._isActive = false\n EventHandler.off(document, EVENT_KEY)\n }\n\n // Private\n _handleFocusin(event) {\n const { trapElement } = this._config\n\n if (event.target === document || event.target === trapElement || trapElement.contains(event.target)) {\n return\n }\n\n const elements = SelectorEngine.focusableChildren(trapElement)\n\n if (elements.length === 0) {\n trapElement.focus()\n } else if (this._lastTabNavDirection === TAB_NAV_BACKWARD) {\n elements[elements.length - 1].focus()\n } else {\n elements[0].focus()\n }\n }\n\n _handleKeydown(event) {\n if (event.key !== TAB_KEY) {\n return\n }\n\n this._lastTabNavDirection = event.shiftKey ? TAB_NAV_BACKWARD : TAB_NAV_FORWARD\n }\n}\n\nexport default FocusTrap\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/scrollBar.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport Manipulator from '../dom/manipulator.js'\nimport SelectorEngine from '../dom/selector-engine.js'\nimport { isElement } from './index.js'\n\n/**\n * Constants\n */\n\nconst SELECTOR_FIXED_CONTENT = '.fixed-top, .fixed-bottom, .is-fixed, .sticky-top'\nconst SELECTOR_STICKY_CONTENT = '.sticky-top'\nconst PROPERTY_PADDING = 'padding-right'\nconst PROPERTY_MARGIN = 'margin-right'\n\n/**\n * Class definition\n */\n\nclass ScrollBarHelper {\n constructor() {\n this._element = document.body\n }\n\n // Public\n getWidth() {\n // https://developer.mozilla.org/en-US/docs/Web/API/Window/innerWidth#usage_notes\n const documentWidth = document.documentElement.clientWidth\n return Math.abs(window.innerWidth - documentWidth)\n }\n\n hide() {\n const width = this.getWidth()\n this._disableOverFlow()\n // give padding to element to balance the hidden scrollbar width\n this._setElementAttributes(this._element, PROPERTY_PADDING, calculatedValue => calculatedValue + width)\n // trick: We adjust positive paddingRight and negative marginRight to sticky-top elements to keep showing fullwidth\n this._setElementAttributes(SELECTOR_FIXED_CONTENT, PROPERTY_PADDING, calculatedValue => calculatedValue + width)\n this._setElementAttributes(SELECTOR_STICKY_CONTENT, PROPERTY_MARGIN, calculatedValue => calculatedValue - width)\n }\n\n reset() {\n this._resetElementAttributes(this._element, 'overflow')\n this._resetElementAttributes(this._element, PROPERTY_PADDING)\n this._resetElementAttributes(SELECTOR_FIXED_CONTENT, PROPERTY_PADDING)\n this._resetElementAttributes(SELECTOR_STICKY_CONTENT, PROPERTY_MARGIN)\n }\n\n isOverflowing() {\n return this.getWidth() > 0\n }\n\n // Private\n _disableOverFlow() {\n this._saveInitialAttribute(this._element, 'overflow')\n this._element.style.overflow = 'hidden'\n }\n\n _setElementAttributes(selector, styleProperty, callback) {\n const scrollbarWidth = this.getWidth()\n const manipulationCallBack = element => {\n if (element !== this._element && window.innerWidth > element.clientWidth + scrollbarWidth) {\n return\n }\n\n this._saveInitialAttribute(element, styleProperty)\n const calculatedValue = window.getComputedStyle(element).getPropertyValue(styleProperty)\n element.style.setProperty(styleProperty, `${callback(Number.parseFloat(calculatedValue))}px`)\n }\n\n this._applyManipulationCallback(selector, manipulationCallBack)\n }\n\n _saveInitialAttribute(element, styleProperty) {\n const actualValue = element.style.getPropertyValue(styleProperty)\n if (actualValue) {\n Manipulator.setDataAttribute(element, styleProperty, actualValue)\n }\n }\n\n _resetElementAttributes(selector, styleProperty) {\n const manipulationCallBack = element => {\n const value = Manipulator.getDataAttribute(element, styleProperty)\n // We only want to remove the property if the value is `null`; the value can also be zero\n if (value === null) {\n element.style.removeProperty(styleProperty)\n return\n }\n\n Manipulator.removeDataAttribute(element, styleProperty)\n element.style.setProperty(styleProperty, value)\n }\n\n this._applyManipulationCallback(selector, manipulationCallBack)\n }\n\n _applyManipulationCallback(selector, callBack) {\n if (isElement(selector)) {\n callBack(selector)\n return\n }\n\n for (const sel of SelectorEngine.find(selector, this._element)) {\n callBack(sel)\n }\n }\n}\n\nexport default ScrollBarHelper\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap modal.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport SelectorEngine from './dom/selector-engine.js'\nimport Backdrop from './util/backdrop.js'\nimport { enableDismissTrigger } from './util/component-functions.js'\nimport FocusTrap from './util/focustrap.js'\nimport { defineJQueryPlugin, isRTL, isVisible, reflow } from './util/index.js'\nimport ScrollBarHelper from './util/scrollbar.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'modal'\nconst DATA_KEY = 'bs.modal'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\nconst ESCAPE_KEY = 'Escape'\n\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDE_PREVENTED = `hidePrevented${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_RESIZE = `resize${EVENT_KEY}`\nconst EVENT_CLICK_DISMISS = `click.dismiss${EVENT_KEY}`\nconst EVENT_MOUSEDOWN_DISMISS = `mousedown.dismiss${EVENT_KEY}`\nconst EVENT_KEYDOWN_DISMISS = `keydown.dismiss${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_OPEN = 'modal-open'\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_STATIC = 'modal-static'\n\nconst OPEN_SELECTOR = '.modal.show'\nconst SELECTOR_DIALOG = '.modal-dialog'\nconst SELECTOR_MODAL_BODY = '.modal-body'\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"modal\"]'\n\nconst Default = {\n backdrop: true,\n focus: true,\n keyboard: true\n}\n\nconst DefaultType = {\n backdrop: '(boolean|string)',\n focus: 'boolean',\n keyboard: 'boolean'\n}\n\n/**\n * Class definition\n */\n\nclass Modal extends BaseComponent {\n constructor(element, config) {\n super(element, config)\n\n this._dialog = SelectorEngine.findOne(SELECTOR_DIALOG, this._element)\n this._backdrop = this._initializeBackDrop()\n this._focustrap = this._initializeFocusTrap()\n this._isShown = false\n this._isTransitioning = false\n this._scrollBar = new ScrollBarHelper()\n\n this._addEventListeners()\n }\n\n // Getters\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n toggle(relatedTarget) {\n return this._isShown ? this.hide() : this.show(relatedTarget)\n }\n\n show(relatedTarget) {\n if (this._isShown || this._isTransitioning) {\n return\n }\n\n const showEvent = EventHandler.trigger(this._element, EVENT_SHOW, {\n relatedTarget\n })\n\n if (showEvent.defaultPrevented) {\n return\n }\n\n this._isShown = true\n this._isTransitioning = true\n\n this._scrollBar.hide()\n\n document.body.classList.add(CLASS_NAME_OPEN)\n\n this._adjustDialog()\n\n this._backdrop.show(() => this._showElement(relatedTarget))\n }\n\n hide() {\n if (!this._isShown || this._isTransitioning) {\n return\n }\n\n const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE)\n\n if (hideEvent.defaultPrevented) {\n return\n }\n\n this._isShown = false\n this._isTransitioning = true\n this._focustrap.deactivate()\n\n this._element.classList.remove(CLASS_NAME_SHOW)\n\n this._queueCallback(() => this._hideModal(), this._element, this._isAnimated())\n }\n\n dispose() {\n EventHandler.off(window, EVENT_KEY)\n EventHandler.off(this._dialog, EVENT_KEY)\n\n this._backdrop.dispose()\n this._focustrap.deactivate()\n\n super.dispose()\n }\n\n handleUpdate() {\n this._adjustDialog()\n }\n\n // Private\n _initializeBackDrop() {\n return new Backdrop({\n isVisible: Boolean(this._config.backdrop), // 'static' option will be translated to true, and booleans will keep their value,\n isAnimated: this._isAnimated()\n })\n }\n\n _initializeFocusTrap() {\n return new FocusTrap({\n trapElement: this._element\n })\n }\n\n _showElement(relatedTarget) {\n // try to append dynamic modal\n if (!document.body.contains(this._element)) {\n document.body.append(this._element)\n }\n\n this._element.style.display = 'block'\n this._element.removeAttribute('aria-hidden')\n this._element.setAttribute('aria-modal', true)\n this._element.setAttribute('role', 'dialog')\n this._element.scrollTop = 0\n\n const modalBody = SelectorEngine.findOne(SELECTOR_MODAL_BODY, this._dialog)\n if (modalBody) {\n modalBody.scrollTop = 0\n }\n\n reflow(this._element)\n\n this._element.classList.add(CLASS_NAME_SHOW)\n\n const transitionComplete = () => {\n if (this._config.focus) {\n this._focustrap.activate()\n }\n\n this._isTransitioning = false\n EventHandler.trigger(this._element, EVENT_SHOWN, {\n relatedTarget\n })\n }\n\n this._queueCallback(transitionComplete, this._dialog, this._isAnimated())\n }\n\n _addEventListeners() {\n EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS, event => {\n if (event.key !== ESCAPE_KEY) {\n return\n }\n\n if (this._config.keyboard) {\n this.hide()\n return\n }\n\n this._triggerBackdropTransition()\n })\n\n EventHandler.on(window, EVENT_RESIZE, () => {\n if (this._isShown && !this._isTransitioning) {\n this._adjustDialog()\n }\n })\n\n EventHandler.on(this._element, EVENT_MOUSEDOWN_DISMISS, event => {\n // a bad trick to segregate clicks that may start inside dialog but end outside, and avoid listen to scrollbar clicks\n EventHandler.one(this._element, EVENT_CLICK_DISMISS, event2 => {\n if (this._element !== event.target || this._element !== event2.target) {\n return\n }\n\n if (this._config.backdrop === 'static') {\n this._triggerBackdropTransition()\n return\n }\n\n if (this._config.backdrop) {\n this.hide()\n }\n })\n })\n }\n\n _hideModal() {\n this._element.style.display = 'none'\n this._element.setAttribute('aria-hidden', true)\n this._element.removeAttribute('aria-modal')\n this._element.removeAttribute('role')\n this._isTransitioning = false\n\n this._backdrop.hide(() => {\n document.body.classList.remove(CLASS_NAME_OPEN)\n this._resetAdjustments()\n this._scrollBar.reset()\n EventHandler.trigger(this._element, EVENT_HIDDEN)\n })\n }\n\n _isAnimated() {\n return this._element.classList.contains(CLASS_NAME_FADE)\n }\n\n _triggerBackdropTransition() {\n const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED)\n if (hideEvent.defaultPrevented) {\n return\n }\n\n const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight\n const initialOverflowY = this._element.style.overflowY\n // return if the following background transition hasn't yet completed\n if (initialOverflowY === 'hidden' || this._element.classList.contains(CLASS_NAME_STATIC)) {\n return\n }\n\n if (!isModalOverflowing) {\n this._element.style.overflowY = 'hidden'\n }\n\n this._element.classList.add(CLASS_NAME_STATIC)\n this._queueCallback(() => {\n this._element.classList.remove(CLASS_NAME_STATIC)\n this._queueCallback(() => {\n this._element.style.overflowY = initialOverflowY\n }, this._dialog)\n }, this._dialog)\n\n this._element.focus()\n }\n\n /**\n * The following methods are used to handle overflowing modals\n */\n\n _adjustDialog() {\n const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight\n const scrollbarWidth = this._scrollBar.getWidth()\n const isBodyOverflowing = scrollbarWidth > 0\n\n if (isBodyOverflowing && !isModalOverflowing) {\n const property = isRTL() ? 'paddingLeft' : 'paddingRight'\n this._element.style[property] = `${scrollbarWidth}px`\n }\n\n if (!isBodyOverflowing && isModalOverflowing) {\n const property = isRTL() ? 'paddingRight' : 'paddingLeft'\n this._element.style[property] = `${scrollbarWidth}px`\n }\n }\n\n _resetAdjustments() {\n this._element.style.paddingLeft = ''\n this._element.style.paddingRight = ''\n }\n\n // Static\n static jQueryInterface(config, relatedTarget) {\n return this.each(function () {\n const data = Modal.getOrCreateInstance(this, config)\n\n if (typeof config !== 'string') {\n return\n }\n\n if (typeof data[config] === 'undefined') {\n throw new TypeError(`No method named \"${config}\"`)\n }\n\n data[config](relatedTarget)\n })\n }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n const target = SelectorEngine.getElementFromSelector(this)\n\n if (['A', 'AREA'].includes(this.tagName)) {\n event.preventDefault()\n }\n\n EventHandler.one(target, EVENT_SHOW, showEvent => {\n if (showEvent.defaultPrevented) {\n // only register focus restorer if modal will actually get shown\n return\n }\n\n EventHandler.one(target, EVENT_HIDDEN, () => {\n if (isVisible(this)) {\n this.focus()\n }\n })\n })\n\n // avoid conflict when clicking modal toggler while another one is open\n const alreadyOpen = SelectorEngine.findOne(OPEN_SELECTOR)\n if (alreadyOpen) {\n Modal.getInstance(alreadyOpen).hide()\n }\n\n const data = Modal.getOrCreateInstance(target)\n\n data.toggle(this)\n})\n\nenableDismissTrigger(Modal)\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Modal)\n\nexport default Modal\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap offcanvas.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport SelectorEngine from './dom/selector-engine.js'\nimport Backdrop from './util/backdrop.js'\nimport { enableDismissTrigger } from './util/component-functions.js'\nimport FocusTrap from './util/focustrap.js'\nimport {\n defineJQueryPlugin,\n isDisabled,\n isVisible\n} from './util/index.js'\nimport ScrollBarHelper from './util/scrollbar.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'offcanvas'\nconst DATA_KEY = 'bs.offcanvas'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY}${DATA_API_KEY}`\nconst ESCAPE_KEY = 'Escape'\n\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_SHOWING = 'showing'\nconst CLASS_NAME_HIDING = 'hiding'\nconst CLASS_NAME_BACKDROP = 'offcanvas-backdrop'\nconst OPEN_SELECTOR = '.offcanvas.show'\n\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDE_PREVENTED = `hidePrevented${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_RESIZE = `resize${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\nconst EVENT_KEYDOWN_DISMISS = `keydown.dismiss${EVENT_KEY}`\n\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"offcanvas\"]'\n\nconst Default = {\n backdrop: true,\n keyboard: true,\n scroll: false\n}\n\nconst DefaultType = {\n backdrop: '(boolean|string)',\n keyboard: 'boolean',\n scroll: 'boolean'\n}\n\n/**\n * Class definition\n */\n\nclass Offcanvas extends BaseComponent {\n constructor(element, config) {\n super(element, config)\n\n this._isShown = false\n this._backdrop = this._initializeBackDrop()\n this._focustrap = this._initializeFocusTrap()\n this._addEventListeners()\n }\n\n // Getters\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n toggle(relatedTarget) {\n return this._isShown ? this.hide() : this.show(relatedTarget)\n }\n\n show(relatedTarget) {\n if (this._isShown) {\n return\n }\n\n const showEvent = EventHandler.trigger(this._element, EVENT_SHOW, { relatedTarget })\n\n if (showEvent.defaultPrevented) {\n return\n }\n\n this._isShown = true\n this._backdrop.show()\n\n if (!this._config.scroll) {\n new ScrollBarHelper().hide()\n }\n\n this._element.setAttribute('aria-modal', true)\n this._element.setAttribute('role', 'dialog')\n this._element.classList.add(CLASS_NAME_SHOWING)\n\n const completeCallBack = () => {\n if (!this._config.scroll || this._config.backdrop) {\n this._focustrap.activate()\n }\n\n this._element.classList.add(CLASS_NAME_SHOW)\n this._element.classList.remove(CLASS_NAME_SHOWING)\n EventHandler.trigger(this._element, EVENT_SHOWN, { relatedTarget })\n }\n\n this._queueCallback(completeCallBack, this._element, true)\n }\n\n hide() {\n if (!this._isShown) {\n return\n }\n\n const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE)\n\n if (hideEvent.defaultPrevented) {\n return\n }\n\n this._focustrap.deactivate()\n this._element.blur()\n this._isShown = false\n this._element.classList.add(CLASS_NAME_HIDING)\n this._backdrop.hide()\n\n const completeCallback = () => {\n this._element.classList.remove(CLASS_NAME_SHOW, CLASS_NAME_HIDING)\n this._element.removeAttribute('aria-modal')\n this._element.removeAttribute('role')\n\n if (!this._config.scroll) {\n new ScrollBarHelper().reset()\n }\n\n EventHandler.trigger(this._element, EVENT_HIDDEN)\n }\n\n this._queueCallback(completeCallback, this._element, true)\n }\n\n dispose() {\n this._backdrop.dispose()\n this._focustrap.deactivate()\n super.dispose()\n }\n\n // Private\n _initializeBackDrop() {\n const clickCallback = () => {\n if (this._config.backdrop === 'static') {\n EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED)\n return\n }\n\n this.hide()\n }\n\n // 'static' option will be translated to true, and booleans will keep their value\n const isVisible = Boolean(this._config.backdrop)\n\n return new Backdrop({\n className: CLASS_NAME_BACKDROP,\n isVisible,\n isAnimated: true,\n rootElement: this._element.parentNode,\n clickCallback: isVisible ? clickCallback : null\n })\n }\n\n _initializeFocusTrap() {\n return new FocusTrap({\n trapElement: this._element\n })\n }\n\n _addEventListeners() {\n EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS, event => {\n if (event.key !== ESCAPE_KEY) {\n return\n }\n\n if (this._config.keyboard) {\n this.hide()\n return\n }\n\n EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED)\n })\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Offcanvas.getOrCreateInstance(this, config)\n\n if (typeof config !== 'string') {\n return\n }\n\n if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n throw new TypeError(`No method named \"${config}\"`)\n }\n\n data[config](this)\n })\n }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n const target = SelectorEngine.getElementFromSelector(this)\n\n if (['A', 'AREA'].includes(this.tagName)) {\n event.preventDefault()\n }\n\n if (isDisabled(this)) {\n return\n }\n\n EventHandler.one(target, EVENT_HIDDEN, () => {\n // focus on trigger when it is closed\n if (isVisible(this)) {\n this.focus()\n }\n })\n\n // avoid conflict when clicking a toggler of an offcanvas, while another is open\n const alreadyOpen = SelectorEngine.findOne(OPEN_SELECTOR)\n if (alreadyOpen && alreadyOpen !== target) {\n Offcanvas.getInstance(alreadyOpen).hide()\n }\n\n const data = Offcanvas.getOrCreateInstance(target)\n data.toggle(this)\n})\n\nEventHandler.on(window, EVENT_LOAD_DATA_API, () => {\n for (const selector of SelectorEngine.find(OPEN_SELECTOR)) {\n Offcanvas.getOrCreateInstance(selector).show()\n }\n})\n\nEventHandler.on(window, EVENT_RESIZE, () => {\n for (const element of SelectorEngine.find('[aria-modal][class*=show][class*=offcanvas-]')) {\n if (getComputedStyle(element).position !== 'fixed') {\n Offcanvas.getOrCreateInstance(element).hide()\n }\n }\n})\n\nenableDismissTrigger(Offcanvas)\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Offcanvas)\n\nexport default Offcanvas\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/sanitizer.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n// js-docs-start allow-list\nconst ARIA_ATTRIBUTE_PATTERN = /^aria-[\\w-]*$/i\n\nexport const DefaultAllowlist = {\n // Global attributes allowed on any supplied element below.\n '*': ['class', 'dir', 'id', 'lang', 'role', ARIA_ATTRIBUTE_PATTERN],\n a: ['target', 'href', 'title', 'rel'],\n area: [],\n b: [],\n br: [],\n col: [],\n code: [],\n div: [],\n em: [],\n hr: [],\n h1: [],\n h2: [],\n h3: [],\n h4: [],\n h5: [],\n h6: [],\n i: [],\n img: ['src', 'srcset', 'alt', 'title', 'width', 'height'],\n li: [],\n ol: [],\n p: [],\n pre: [],\n s: [],\n small: [],\n span: [],\n sub: [],\n sup: [],\n strong: [],\n u: [],\n ul: []\n}\n// js-docs-end allow-list\n\nconst uriAttributes = new Set([\n 'background',\n 'cite',\n 'href',\n 'itemtype',\n 'longdesc',\n 'poster',\n 'src',\n 'xlink:href'\n])\n\n/**\n * A pattern that recognizes URLs that are safe wrt. XSS in URL navigation\n * contexts.\n *\n * Shout-out to Angular https://github.com/angular/angular/blob/15.2.8/packages/core/src/sanitization/url_sanitizer.ts#L38\n */\n// eslint-disable-next-line unicorn/better-regex\nconst SAFE_URL_PATTERN = /^(?!javascript:)(?:[a-z0-9+.-]+:|[^&:/?#]*(?:[/?#]|$))/i\n\nconst allowedAttribute = (attribute, allowedAttributeList) => {\n const attributeName = attribute.nodeName.toLowerCase()\n\n if (allowedAttributeList.includes(attributeName)) {\n if (uriAttributes.has(attributeName)) {\n return Boolean(SAFE_URL_PATTERN.test(attribute.nodeValue))\n }\n\n return true\n }\n\n // Check if a regular expression validates the attribute.\n return allowedAttributeList.filter(attributeRegex => attributeRegex instanceof RegExp)\n .some(regex => regex.test(attributeName))\n}\n\nexport function sanitizeHtml(unsafeHtml, allowList, sanitizeFunction) {\n if (!unsafeHtml.length) {\n return unsafeHtml\n }\n\n if (sanitizeFunction && typeof sanitizeFunction === 'function') {\n return sanitizeFunction(unsafeHtml)\n }\n\n const domParser = new window.DOMParser()\n const createdDocument = domParser.parseFromString(unsafeHtml, 'text/html')\n const elements = [].concat(...createdDocument.body.querySelectorAll('*'))\n\n for (const element of elements) {\n const elementName = element.nodeName.toLowerCase()\n\n if (!Object.keys(allowList).includes(elementName)) {\n element.remove()\n continue\n }\n\n const attributeList = [].concat(...element.attributes)\n const allowedAttributes = [].concat(allowList['*'] || [], allowList[elementName] || [])\n\n for (const attribute of attributeList) {\n if (!allowedAttribute(attribute, allowedAttributes)) {\n element.removeAttribute(attribute.nodeName)\n }\n }\n }\n\n return createdDocument.body.innerHTML\n}\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/template-factory.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport SelectorEngine from '../dom/selector-engine.js'\nimport Config from './config.js'\nimport { DefaultAllowlist, sanitizeHtml } from './sanitizer.js'\nimport { execute, getElement, isElement } from './index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'TemplateFactory'\n\nconst Default = {\n allowList: DefaultAllowlist,\n content: {}, // { selector : text , selector2 : text2 , }\n extraClass: '',\n html: false,\n sanitize: true,\n sanitizeFn: null,\n template: '
    '\n}\n\nconst DefaultType = {\n allowList: 'object',\n content: 'object',\n extraClass: '(string|function)',\n html: 'boolean',\n sanitize: 'boolean',\n sanitizeFn: '(null|function)',\n template: 'string'\n}\n\nconst DefaultContentType = {\n entry: '(string|element|function|null)',\n selector: '(string|element)'\n}\n\n/**\n * Class definition\n */\n\nclass TemplateFactory extends Config {\n constructor(config) {\n super()\n this._config = this._getConfig(config)\n }\n\n // Getters\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n getContent() {\n return Object.values(this._config.content)\n .map(config => this._resolvePossibleFunction(config))\n .filter(Boolean)\n }\n\n hasContent() {\n return this.getContent().length > 0\n }\n\n changeContent(content) {\n this._checkContent(content)\n this._config.content = { ...this._config.content, ...content }\n return this\n }\n\n toHtml() {\n const templateWrapper = document.createElement('div')\n templateWrapper.innerHTML = this._maybeSanitize(this._config.template)\n\n for (const [selector, text] of Object.entries(this._config.content)) {\n this._setContent(templateWrapper, text, selector)\n }\n\n const template = templateWrapper.children[0]\n const extraClass = this._resolvePossibleFunction(this._config.extraClass)\n\n if (extraClass) {\n template.classList.add(...extraClass.split(' '))\n }\n\n return template\n }\n\n // Private\n _typeCheckConfig(config) {\n super._typeCheckConfig(config)\n this._checkContent(config.content)\n }\n\n _checkContent(arg) {\n for (const [selector, content] of Object.entries(arg)) {\n super._typeCheckConfig({ selector, entry: content }, DefaultContentType)\n }\n }\n\n _setContent(template, content, selector) {\n const templateElement = SelectorEngine.findOne(selector, template)\n\n if (!templateElement) {\n return\n }\n\n content = this._resolvePossibleFunction(content)\n\n if (!content) {\n templateElement.remove()\n return\n }\n\n if (isElement(content)) {\n this._putElementInTemplate(getElement(content), templateElement)\n return\n }\n\n if (this._config.html) {\n templateElement.innerHTML = this._maybeSanitize(content)\n return\n }\n\n templateElement.textContent = content\n }\n\n _maybeSanitize(arg) {\n return this._config.sanitize ? sanitizeHtml(arg, this._config.allowList, this._config.sanitizeFn) : arg\n }\n\n _resolvePossibleFunction(arg) {\n return execute(arg, [this])\n }\n\n _putElementInTemplate(element, templateElement) {\n if (this._config.html) {\n templateElement.innerHTML = ''\n templateElement.append(element)\n return\n }\n\n templateElement.textContent = element.textContent\n }\n}\n\nexport default TemplateFactory\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap tooltip.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport * as Popper from '@popperjs/core'\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport Manipulator from './dom/manipulator.js'\nimport { defineJQueryPlugin, execute, findShadowRoot, getElement, getUID, isRTL, noop } from './util/index.js'\nimport { DefaultAllowlist } from './util/sanitizer.js'\nimport TemplateFactory from './util/template-factory.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'tooltip'\nconst DISALLOWED_ATTRIBUTES = new Set(['sanitize', 'allowList', 'sanitizeFn'])\n\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_MODAL = 'modal'\nconst CLASS_NAME_SHOW = 'show'\n\nconst SELECTOR_TOOLTIP_INNER = '.tooltip-inner'\nconst SELECTOR_MODAL = `.${CLASS_NAME_MODAL}`\n\nconst EVENT_MODAL_HIDE = 'hide.bs.modal'\n\nconst TRIGGER_HOVER = 'hover'\nconst TRIGGER_FOCUS = 'focus'\nconst TRIGGER_CLICK = 'click'\nconst TRIGGER_MANUAL = 'manual'\n\nconst EVENT_HIDE = 'hide'\nconst EVENT_HIDDEN = 'hidden'\nconst EVENT_SHOW = 'show'\nconst EVENT_SHOWN = 'shown'\nconst EVENT_INSERTED = 'inserted'\nconst EVENT_CLICK = 'click'\nconst EVENT_FOCUSIN = 'focusin'\nconst EVENT_FOCUSOUT = 'focusout'\nconst EVENT_MOUSEENTER = 'mouseenter'\nconst EVENT_MOUSELEAVE = 'mouseleave'\n\nconst AttachmentMap = {\n AUTO: 'auto',\n TOP: 'top',\n RIGHT: isRTL() ? 'left' : 'right',\n BOTTOM: 'bottom',\n LEFT: isRTL() ? 'right' : 'left'\n}\n\nconst Default = {\n allowList: DefaultAllowlist,\n animation: true,\n boundary: 'clippingParents',\n container: false,\n customClass: '',\n delay: 0,\n fallbackPlacements: ['top', 'right', 'bottom', 'left'],\n html: false,\n offset: [0, 6],\n placement: 'top',\n popperConfig: null,\n sanitize: true,\n sanitizeFn: null,\n selector: false,\n template: '
    ' +\n '
    ' +\n '
    ' +\n '
    ',\n title: '',\n trigger: 'hover focus'\n}\n\nconst DefaultType = {\n allowList: 'object',\n animation: 'boolean',\n boundary: '(string|element)',\n container: '(string|element|boolean)',\n customClass: '(string|function)',\n delay: '(number|object)',\n fallbackPlacements: 'array',\n html: 'boolean',\n offset: '(array|string|function)',\n placement: '(string|function)',\n popperConfig: '(null|object|function)',\n sanitize: 'boolean',\n sanitizeFn: '(null|function)',\n selector: '(string|boolean)',\n template: 'string',\n title: '(string|element|function)',\n trigger: 'string'\n}\n\n/**\n * Class definition\n */\n\nclass Tooltip extends BaseComponent {\n constructor(element, config) {\n if (typeof Popper === 'undefined') {\n throw new TypeError('Bootstrap\\'s tooltips require Popper (https://popper.js.org)')\n }\n\n super(element, config)\n\n // Private\n this._isEnabled = true\n this._timeout = 0\n this._isHovered = null\n this._activeTrigger = {}\n this._popper = null\n this._templateFactory = null\n this._newContent = null\n\n // Protected\n this.tip = null\n\n this._setListeners()\n\n if (!this._config.selector) {\n this._fixTitle()\n }\n }\n\n // Getters\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n enable() {\n this._isEnabled = true\n }\n\n disable() {\n this._isEnabled = false\n }\n\n toggleEnabled() {\n this._isEnabled = !this._isEnabled\n }\n\n toggle() {\n if (!this._isEnabled) {\n return\n }\n\n this._activeTrigger.click = !this._activeTrigger.click\n if (this._isShown()) {\n this._leave()\n return\n }\n\n this._enter()\n }\n\n dispose() {\n clearTimeout(this._timeout)\n\n EventHandler.off(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler)\n\n if (this._element.getAttribute('data-bs-original-title')) {\n this._element.setAttribute('title', this._element.getAttribute('data-bs-original-title'))\n }\n\n this._disposePopper()\n super.dispose()\n }\n\n show() {\n if (this._element.style.display === 'none') {\n throw new Error('Please use show on visible elements')\n }\n\n if (!(this._isWithContent() && this._isEnabled)) {\n return\n }\n\n const showEvent = EventHandler.trigger(this._element, this.constructor.eventName(EVENT_SHOW))\n const shadowRoot = findShadowRoot(this._element)\n const isInTheDom = (shadowRoot || this._element.ownerDocument.documentElement).contains(this._element)\n\n if (showEvent.defaultPrevented || !isInTheDom) {\n return\n }\n\n // TODO: v6 remove this or make it optional\n this._disposePopper()\n\n const tip = this._getTipElement()\n\n this._element.setAttribute('aria-describedby', tip.getAttribute('id'))\n\n const { container } = this._config\n\n if (!this._element.ownerDocument.documentElement.contains(this.tip)) {\n container.append(tip)\n EventHandler.trigger(this._element, this.constructor.eventName(EVENT_INSERTED))\n }\n\n this._popper = this._createPopper(tip)\n\n tip.classList.add(CLASS_NAME_SHOW)\n\n // If this is a touch-enabled device we add extra\n // empty mouseover listeners to the body's immediate children;\n // only needed because of broken event delegation on iOS\n // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n if ('ontouchstart' in document.documentElement) {\n for (const element of [].concat(...document.body.children)) {\n EventHandler.on(element, 'mouseover', noop)\n }\n }\n\n const complete = () => {\n EventHandler.trigger(this._element, this.constructor.eventName(EVENT_SHOWN))\n\n if (this._isHovered === false) {\n this._leave()\n }\n\n this._isHovered = false\n }\n\n this._queueCallback(complete, this.tip, this._isAnimated())\n }\n\n hide() {\n if (!this._isShown()) {\n return\n }\n\n const hideEvent = EventHandler.trigger(this._element, this.constructor.eventName(EVENT_HIDE))\n if (hideEvent.defaultPrevented) {\n return\n }\n\n const tip = this._getTipElement()\n tip.classList.remove(CLASS_NAME_SHOW)\n\n // If this is a touch-enabled device we remove the extra\n // empty mouseover listeners we added for iOS support\n if ('ontouchstart' in document.documentElement) {\n for (const element of [].concat(...document.body.children)) {\n EventHandler.off(element, 'mouseover', noop)\n }\n }\n\n this._activeTrigger[TRIGGER_CLICK] = false\n this._activeTrigger[TRIGGER_FOCUS] = false\n this._activeTrigger[TRIGGER_HOVER] = false\n this._isHovered = null // it is a trick to support manual triggering\n\n const complete = () => {\n if (this._isWithActiveTrigger()) {\n return\n }\n\n if (!this._isHovered) {\n this._disposePopper()\n }\n\n this._element.removeAttribute('aria-describedby')\n EventHandler.trigger(this._element, this.constructor.eventName(EVENT_HIDDEN))\n }\n\n this._queueCallback(complete, this.tip, this._isAnimated())\n }\n\n update() {\n if (this._popper) {\n this._popper.update()\n }\n }\n\n // Protected\n _isWithContent() {\n return Boolean(this._getTitle())\n }\n\n _getTipElement() {\n if (!this.tip) {\n this.tip = this._createTipElement(this._newContent || this._getContentForTemplate())\n }\n\n return this.tip\n }\n\n _createTipElement(content) {\n const tip = this._getTemplateFactory(content).toHtml()\n\n // TODO: remove this check in v6\n if (!tip) {\n return null\n }\n\n tip.classList.remove(CLASS_NAME_FADE, CLASS_NAME_SHOW)\n // TODO: v6 the following can be achieved with CSS only\n tip.classList.add(`bs-${this.constructor.NAME}-auto`)\n\n const tipId = getUID(this.constructor.NAME).toString()\n\n tip.setAttribute('id', tipId)\n\n if (this._isAnimated()) {\n tip.classList.add(CLASS_NAME_FADE)\n }\n\n return tip\n }\n\n setContent(content) {\n this._newContent = content\n if (this._isShown()) {\n this._disposePopper()\n this.show()\n }\n }\n\n _getTemplateFactory(content) {\n if (this._templateFactory) {\n this._templateFactory.changeContent(content)\n } else {\n this._templateFactory = new TemplateFactory({\n ...this._config,\n // the `content` var has to be after `this._config`\n // to override config.content in case of popover\n content,\n extraClass: this._resolvePossibleFunction(this._config.customClass)\n })\n }\n\n return this._templateFactory\n }\n\n _getContentForTemplate() {\n return {\n [SELECTOR_TOOLTIP_INNER]: this._getTitle()\n }\n }\n\n _getTitle() {\n return this._resolvePossibleFunction(this._config.title) || this._element.getAttribute('data-bs-original-title')\n }\n\n // Private\n _initializeOnDelegatedTarget(event) {\n return this.constructor.getOrCreateInstance(event.delegateTarget, this._getDelegateConfig())\n }\n\n _isAnimated() {\n return this._config.animation || (this.tip && this.tip.classList.contains(CLASS_NAME_FADE))\n }\n\n _isShown() {\n return this.tip && this.tip.classList.contains(CLASS_NAME_SHOW)\n }\n\n _createPopper(tip) {\n const placement = execute(this._config.placement, [this, tip, this._element])\n const attachment = AttachmentMap[placement.toUpperCase()]\n return Popper.createPopper(this._element, tip, this._getPopperConfig(attachment))\n }\n\n _getOffset() {\n const { offset } = this._config\n\n if (typeof offset === 'string') {\n return offset.split(',').map(value => Number.parseInt(value, 10))\n }\n\n if (typeof offset === 'function') {\n return popperData => offset(popperData, this._element)\n }\n\n return offset\n }\n\n _resolvePossibleFunction(arg) {\n return execute(arg, [this._element])\n }\n\n _getPopperConfig(attachment) {\n const defaultBsPopperConfig = {\n placement: attachment,\n modifiers: [\n {\n name: 'flip',\n options: {\n fallbackPlacements: this._config.fallbackPlacements\n }\n },\n {\n name: 'offset',\n options: {\n offset: this._getOffset()\n }\n },\n {\n name: 'preventOverflow',\n options: {\n boundary: this._config.boundary\n }\n },\n {\n name: 'arrow',\n options: {\n element: `.${this.constructor.NAME}-arrow`\n }\n },\n {\n name: 'preSetPlacement',\n enabled: true,\n phase: 'beforeMain',\n fn: data => {\n // Pre-set Popper's placement attribute in order to read the arrow sizes properly.\n // Otherwise, Popper mixes up the width and height dimensions since the initial arrow style is for top placement\n this._getTipElement().setAttribute('data-popper-placement', data.state.placement)\n }\n }\n ]\n }\n\n return {\n ...defaultBsPopperConfig,\n ...execute(this._config.popperConfig, [defaultBsPopperConfig])\n }\n }\n\n _setListeners() {\n const triggers = this._config.trigger.split(' ')\n\n for (const trigger of triggers) {\n if (trigger === 'click') {\n EventHandler.on(this._element, this.constructor.eventName(EVENT_CLICK), this._config.selector, event => {\n const context = this._initializeOnDelegatedTarget(event)\n context.toggle()\n })\n } else if (trigger !== TRIGGER_MANUAL) {\n const eventIn = trigger === TRIGGER_HOVER ?\n this.constructor.eventName(EVENT_MOUSEENTER) :\n this.constructor.eventName(EVENT_FOCUSIN)\n const eventOut = trigger === TRIGGER_HOVER ?\n this.constructor.eventName(EVENT_MOUSELEAVE) :\n this.constructor.eventName(EVENT_FOCUSOUT)\n\n EventHandler.on(this._element, eventIn, this._config.selector, event => {\n const context = this._initializeOnDelegatedTarget(event)\n context._activeTrigger[event.type === 'focusin' ? TRIGGER_FOCUS : TRIGGER_HOVER] = true\n context._enter()\n })\n EventHandler.on(this._element, eventOut, this._config.selector, event => {\n const context = this._initializeOnDelegatedTarget(event)\n context._activeTrigger[event.type === 'focusout' ? TRIGGER_FOCUS : TRIGGER_HOVER] =\n context._element.contains(event.relatedTarget)\n\n context._leave()\n })\n }\n }\n\n this._hideModalHandler = () => {\n if (this._element) {\n this.hide()\n }\n }\n\n EventHandler.on(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler)\n }\n\n _fixTitle() {\n const title = this._element.getAttribute('title')\n\n if (!title) {\n return\n }\n\n if (!this._element.getAttribute('aria-label') && !this._element.textContent.trim()) {\n this._element.setAttribute('aria-label', title)\n }\n\n this._element.setAttribute('data-bs-original-title', title) // DO NOT USE IT. Is only for backwards compatibility\n this._element.removeAttribute('title')\n }\n\n _enter() {\n if (this._isShown() || this._isHovered) {\n this._isHovered = true\n return\n }\n\n this._isHovered = true\n\n this._setTimeout(() => {\n if (this._isHovered) {\n this.show()\n }\n }, this._config.delay.show)\n }\n\n _leave() {\n if (this._isWithActiveTrigger()) {\n return\n }\n\n this._isHovered = false\n\n this._setTimeout(() => {\n if (!this._isHovered) {\n this.hide()\n }\n }, this._config.delay.hide)\n }\n\n _setTimeout(handler, timeout) {\n clearTimeout(this._timeout)\n this._timeout = setTimeout(handler, timeout)\n }\n\n _isWithActiveTrigger() {\n return Object.values(this._activeTrigger).includes(true)\n }\n\n _getConfig(config) {\n const dataAttributes = Manipulator.getDataAttributes(this._element)\n\n for (const dataAttribute of Object.keys(dataAttributes)) {\n if (DISALLOWED_ATTRIBUTES.has(dataAttribute)) {\n delete dataAttributes[dataAttribute]\n }\n }\n\n config = {\n ...dataAttributes,\n ...(typeof config === 'object' && config ? config : {})\n }\n config = this._mergeConfigObj(config)\n config = this._configAfterMerge(config)\n this._typeCheckConfig(config)\n return config\n }\n\n _configAfterMerge(config) {\n config.container = config.container === false ? document.body : getElement(config.container)\n\n if (typeof config.delay === 'number') {\n config.delay = {\n show: config.delay,\n hide: config.delay\n }\n }\n\n if (typeof config.title === 'number') {\n config.title = config.title.toString()\n }\n\n if (typeof config.content === 'number') {\n config.content = config.content.toString()\n }\n\n return config\n }\n\n _getDelegateConfig() {\n const config = {}\n\n for (const [key, value] of Object.entries(this._config)) {\n if (this.constructor.Default[key] !== value) {\n config[key] = value\n }\n }\n\n config.selector = false\n config.trigger = 'manual'\n\n // In the future can be replaced with:\n // const keysWithDifferentValues = Object.entries(this._config).filter(entry => this.constructor.Default[entry[0]] !== this._config[entry[0]])\n // `Object.fromEntries(keysWithDifferentValues)`\n return config\n }\n\n _disposePopper() {\n if (this._popper) {\n this._popper.destroy()\n this._popper = null\n }\n\n if (this.tip) {\n this.tip.remove()\n this.tip = null\n }\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Tooltip.getOrCreateInstance(this, config)\n\n if (typeof config !== 'string') {\n return\n }\n\n if (typeof data[config] === 'undefined') {\n throw new TypeError(`No method named \"${config}\"`)\n }\n\n data[config]()\n })\n }\n}\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Tooltip)\n\nexport default Tooltip\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap popover.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport Tooltip from './tooltip.js'\nimport { defineJQueryPlugin } from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'popover'\n\nconst SELECTOR_TITLE = '.popover-header'\nconst SELECTOR_CONTENT = '.popover-body'\n\nconst Default = {\n ...Tooltip.Default,\n content: '',\n offset: [0, 8],\n placement: 'right',\n template: '
    ' +\n '
    ' +\n '

    ' +\n '
    ' +\n '
    ',\n trigger: 'click'\n}\n\nconst DefaultType = {\n ...Tooltip.DefaultType,\n content: '(null|string|element|function)'\n}\n\n/**\n * Class definition\n */\n\nclass Popover extends Tooltip {\n // Getters\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Overrides\n _isWithContent() {\n return this._getTitle() || this._getContent()\n }\n\n // Private\n _getContentForTemplate() {\n return {\n [SELECTOR_TITLE]: this._getTitle(),\n [SELECTOR_CONTENT]: this._getContent()\n }\n }\n\n _getContent() {\n return this._resolvePossibleFunction(this._config.content)\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Popover.getOrCreateInstance(this, config)\n\n if (typeof config !== 'string') {\n return\n }\n\n if (typeof data[config] === 'undefined') {\n throw new TypeError(`No method named \"${config}\"`)\n }\n\n data[config]()\n })\n }\n}\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Popover)\n\nexport default Popover\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap scrollspy.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport SelectorEngine from './dom/selector-engine.js'\nimport { defineJQueryPlugin, getElement, isDisabled, isVisible } from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'scrollspy'\nconst DATA_KEY = 'bs.scrollspy'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst EVENT_ACTIVATE = `activate${EVENT_KEY}`\nconst EVENT_CLICK = `click${EVENT_KEY}`\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_DROPDOWN_ITEM = 'dropdown-item'\nconst CLASS_NAME_ACTIVE = 'active'\n\nconst SELECTOR_DATA_SPY = '[data-bs-spy=\"scroll\"]'\nconst SELECTOR_TARGET_LINKS = '[href]'\nconst SELECTOR_NAV_LIST_GROUP = '.nav, .list-group'\nconst SELECTOR_NAV_LINKS = '.nav-link'\nconst SELECTOR_NAV_ITEMS = '.nav-item'\nconst SELECTOR_LIST_ITEMS = '.list-group-item'\nconst SELECTOR_LINK_ITEMS = `${SELECTOR_NAV_LINKS}, ${SELECTOR_NAV_ITEMS} > ${SELECTOR_NAV_LINKS}, ${SELECTOR_LIST_ITEMS}`\nconst SELECTOR_DROPDOWN = '.dropdown'\nconst SELECTOR_DROPDOWN_TOGGLE = '.dropdown-toggle'\n\nconst Default = {\n offset: null, // TODO: v6 @deprecated, keep it for backwards compatibility reasons\n rootMargin: '0px 0px -25%',\n smoothScroll: false,\n target: null,\n threshold: [0.1, 0.5, 1]\n}\n\nconst DefaultType = {\n offset: '(number|null)', // TODO v6 @deprecated, keep it for backwards compatibility reasons\n rootMargin: 'string',\n smoothScroll: 'boolean',\n target: 'element',\n threshold: 'array'\n}\n\n/**\n * Class definition\n */\n\nclass ScrollSpy extends BaseComponent {\n constructor(element, config) {\n super(element, config)\n\n // this._element is the observablesContainer and config.target the menu links wrapper\n this._targetLinks = new Map()\n this._observableSections = new Map()\n this._rootElement = getComputedStyle(this._element).overflowY === 'visible' ? null : this._element\n this._activeTarget = null\n this._observer = null\n this._previousScrollData = {\n visibleEntryTop: 0,\n parentScrollTop: 0\n }\n this.refresh() // initialize\n }\n\n // Getters\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n refresh() {\n this._initializeTargetsAndObservables()\n this._maybeEnableSmoothScroll()\n\n if (this._observer) {\n this._observer.disconnect()\n } else {\n this._observer = this._getNewObserver()\n }\n\n for (const section of this._observableSections.values()) {\n this._observer.observe(section)\n }\n }\n\n dispose() {\n this._observer.disconnect()\n super.dispose()\n }\n\n // Private\n _configAfterMerge(config) {\n // TODO: on v6 target should be given explicitly & remove the {target: 'ss-target'} case\n config.target = getElement(config.target) || document.body\n\n // TODO: v6 Only for backwards compatibility reasons. Use rootMargin only\n config.rootMargin = config.offset ? `${config.offset}px 0px -30%` : config.rootMargin\n\n if (typeof config.threshold === 'string') {\n config.threshold = config.threshold.split(',').map(value => Number.parseFloat(value))\n }\n\n return config\n }\n\n _maybeEnableSmoothScroll() {\n if (!this._config.smoothScroll) {\n return\n }\n\n // unregister any previous listeners\n EventHandler.off(this._config.target, EVENT_CLICK)\n\n EventHandler.on(this._config.target, EVENT_CLICK, SELECTOR_TARGET_LINKS, event => {\n const observableSection = this._observableSections.get(event.target.hash)\n if (observableSection) {\n event.preventDefault()\n const root = this._rootElement || window\n const height = observableSection.offsetTop - this._element.offsetTop\n if (root.scrollTo) {\n root.scrollTo({ top: height, behavior: 'smooth' })\n return\n }\n\n // Chrome 60 doesn't support `scrollTo`\n root.scrollTop = height\n }\n })\n }\n\n _getNewObserver() {\n const options = {\n root: this._rootElement,\n threshold: this._config.threshold,\n rootMargin: this._config.rootMargin\n }\n\n return new IntersectionObserver(entries => this._observerCallback(entries), options)\n }\n\n // The logic of selection\n _observerCallback(entries) {\n const targetElement = entry => this._targetLinks.get(`#${entry.target.id}`)\n const activate = entry => {\n this._previousScrollData.visibleEntryTop = entry.target.offsetTop\n this._process(targetElement(entry))\n }\n\n const parentScrollTop = (this._rootElement || document.documentElement).scrollTop\n const userScrollsDown = parentScrollTop >= this._previousScrollData.parentScrollTop\n this._previousScrollData.parentScrollTop = parentScrollTop\n\n for (const entry of entries) {\n if (!entry.isIntersecting) {\n this._activeTarget = null\n this._clearActiveClass(targetElement(entry))\n\n continue\n }\n\n const entryIsLowerThanPrevious = entry.target.offsetTop >= this._previousScrollData.visibleEntryTop\n // if we are scrolling down, pick the bigger offsetTop\n if (userScrollsDown && entryIsLowerThanPrevious) {\n activate(entry)\n // if parent isn't scrolled, let's keep the first visible item, breaking the iteration\n if (!parentScrollTop) {\n return\n }\n\n continue\n }\n\n // if we are scrolling up, pick the smallest offsetTop\n if (!userScrollsDown && !entryIsLowerThanPrevious) {\n activate(entry)\n }\n }\n }\n\n _initializeTargetsAndObservables() {\n this._targetLinks = new Map()\n this._observableSections = new Map()\n\n const targetLinks = SelectorEngine.find(SELECTOR_TARGET_LINKS, this._config.target)\n\n for (const anchor of targetLinks) {\n // ensure that the anchor has an id and is not disabled\n if (!anchor.hash || isDisabled(anchor)) {\n continue\n }\n\n const observableSection = SelectorEngine.findOne(decodeURI(anchor.hash), this._element)\n\n // ensure that the observableSection exists & is visible\n if (isVisible(observableSection)) {\n this._targetLinks.set(decodeURI(anchor.hash), anchor)\n this._observableSections.set(anchor.hash, observableSection)\n }\n }\n }\n\n _process(target) {\n if (this._activeTarget === target) {\n return\n }\n\n this._clearActiveClass(this._config.target)\n this._activeTarget = target\n target.classList.add(CLASS_NAME_ACTIVE)\n this._activateParents(target)\n\n EventHandler.trigger(this._element, EVENT_ACTIVATE, { relatedTarget: target })\n }\n\n _activateParents(target) {\n // Activate dropdown parents\n if (target.classList.contains(CLASS_NAME_DROPDOWN_ITEM)) {\n SelectorEngine.findOne(SELECTOR_DROPDOWN_TOGGLE, target.closest(SELECTOR_DROPDOWN))\n .classList.add(CLASS_NAME_ACTIVE)\n return\n }\n\n for (const listGroup of SelectorEngine.parents(target, SELECTOR_NAV_LIST_GROUP)) {\n // Set triggered links parents as active\n // With both
      and
    ')},createChildNavList:function(e){var t=this.createNavList();return e.append(t),t},generateNavEl:function(e,t){var n=a('    ');n.attr("href","#"+e),n.text(t);var r=a("
  • ");return r.append(n),r},generateNavItem:function(e){var t=this.generateAnchor(e),n=a(e),r=n.data("toc-text")||n.text();return this.generateNavEl(t,r)},getTopLevel:function(e){for(var t=1;t<=6;t++){if(1 - - - - - - - - - - - - diff --git a/docs/deps/font-awesome-6.4.2/css/all.css b/docs/deps/font-awesome-6.4.2/css/all.css deleted file mode 100644 index bdb6e3ae..00000000 --- a/docs/deps/font-awesome-6.4.2/css/all.css +++ /dev/null @@ -1,7968 +0,0 @@ -/*! - * Font Awesome Free 6.4.2 by @fontawesome - https://fontawesome.com - * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) - * Copyright 2023 Fonticons, Inc. - */ -.fa { - font-family: var(--fa-style-family, "Font Awesome 6 Free"); - font-weight: var(--fa-style, 900); } - -.fa, -.fa-classic, -.fa-sharp, -.fas, -.fa-solid, -.far, -.fa-regular, -.fab, -.fa-brands { - -moz-osx-font-smoothing: grayscale; - -webkit-font-smoothing: antialiased; - display: var(--fa-display, inline-block); - font-style: normal; - font-variant: normal; - line-height: 1; - text-rendering: auto; } - -.fas, -.fa-classic, -.fa-solid, -.far, -.fa-regular { - font-family: 'Font Awesome 6 Free'; } - -.fab, -.fa-brands { - font-family: 'Font Awesome 6 Brands'; } - -.fa-1x { - font-size: 1em; } - -.fa-2x { - font-size: 2em; } - -.fa-3x { - font-size: 3em; } - -.fa-4x { - font-size: 4em; } - -.fa-5x { - font-size: 5em; } - -.fa-6x { - font-size: 6em; } - -.fa-7x { - font-size: 7em; } - -.fa-8x { - font-size: 8em; } - -.fa-9x { - font-size: 9em; } - -.fa-10x { - font-size: 10em; } - -.fa-2xs { - font-size: 0.625em; - line-height: 0.1em; - vertical-align: 0.225em; } - -.fa-xs { - font-size: 0.75em; - line-height: 0.08333em; - vertical-align: 0.125em; } - -.fa-sm { - font-size: 0.875em; - line-height: 0.07143em; - vertical-align: 0.05357em; } - -.fa-lg { - font-size: 1.25em; - line-height: 0.05em; - vertical-align: -0.075em; } - -.fa-xl { - font-size: 1.5em; - line-height: 0.04167em; - vertical-align: -0.125em; } - -.fa-2xl { - font-size: 2em; - line-height: 0.03125em; - vertical-align: -0.1875em; } - -.fa-fw { - text-align: center; - width: 1.25em; } - -.fa-ul { - list-style-type: none; - margin-left: var(--fa-li-margin, 2.5em); - padding-left: 0; } - .fa-ul > li { - position: relative; } - -.fa-li { - left: calc(var(--fa-li-width, 2em) * -1); - position: absolute; - text-align: center; - width: var(--fa-li-width, 2em); - line-height: inherit; } - -.fa-border { - border-color: var(--fa-border-color, #eee); - border-radius: var(--fa-border-radius, 0.1em); - border-style: var(--fa-border-style, solid); - border-width: var(--fa-border-width, 0.08em); - padding: var(--fa-border-padding, 0.2em 0.25em 0.15em); } - -.fa-pull-left { - float: left; - margin-right: var(--fa-pull-margin, 0.3em); } - -.fa-pull-right { - float: right; - margin-left: var(--fa-pull-margin, 0.3em); } - -.fa-beat { - -webkit-animation-name: fa-beat; - animation-name: fa-beat; - -webkit-animation-delay: var(--fa-animation-delay, 0s); - animation-delay: var(--fa-animation-delay, 0s); - -webkit-animation-direction: var(--fa-animation-direction, normal); - animation-direction: var(--fa-animation-direction, normal); - -webkit-animation-duration: var(--fa-animation-duration, 1s); - animation-duration: var(--fa-animation-duration, 1s); - -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite); - animation-iteration-count: var(--fa-animation-iteration-count, infinite); - -webkit-animation-timing-function: var(--fa-animation-timing, ease-in-out); - animation-timing-function: var(--fa-animation-timing, ease-in-out); } - -.fa-bounce { - -webkit-animation-name: fa-bounce; - animation-name: fa-bounce; - -webkit-animation-delay: var(--fa-animation-delay, 0s); - animation-delay: var(--fa-animation-delay, 0s); - -webkit-animation-direction: var(--fa-animation-direction, normal); - animation-direction: var(--fa-animation-direction, normal); - -webkit-animation-duration: var(--fa-animation-duration, 1s); - animation-duration: var(--fa-animation-duration, 1s); - -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite); - animation-iteration-count: var(--fa-animation-iteration-count, infinite); - -webkit-animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.28, 0.84, 0.42, 1)); - animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.28, 0.84, 0.42, 1)); } - -.fa-fade { - -webkit-animation-name: fa-fade; - animation-name: fa-fade; - -webkit-animation-delay: var(--fa-animation-delay, 0s); - animation-delay: var(--fa-animation-delay, 0s); - -webkit-animation-direction: var(--fa-animation-direction, normal); - animation-direction: var(--fa-animation-direction, normal); - -webkit-animation-duration: var(--fa-animation-duration, 1s); - animation-duration: var(--fa-animation-duration, 1s); - -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite); - animation-iteration-count: var(--fa-animation-iteration-count, infinite); - -webkit-animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1)); - animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1)); } - -.fa-beat-fade { - -webkit-animation-name: fa-beat-fade; - animation-name: fa-beat-fade; - -webkit-animation-delay: var(--fa-animation-delay, 0s); - animation-delay: var(--fa-animation-delay, 0s); - -webkit-animation-direction: var(--fa-animation-direction, normal); - animation-direction: var(--fa-animation-direction, normal); - -webkit-animation-duration: var(--fa-animation-duration, 1s); - animation-duration: var(--fa-animation-duration, 1s); - -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite); - animation-iteration-count: var(--fa-animation-iteration-count, infinite); - -webkit-animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1)); - animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1)); } - -.fa-flip { - -webkit-animation-name: fa-flip; - animation-name: fa-flip; - -webkit-animation-delay: var(--fa-animation-delay, 0s); - animation-delay: var(--fa-animation-delay, 0s); - -webkit-animation-direction: var(--fa-animation-direction, normal); - animation-direction: var(--fa-animation-direction, normal); - -webkit-animation-duration: var(--fa-animation-duration, 1s); - animation-duration: var(--fa-animation-duration, 1s); - -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite); - animation-iteration-count: var(--fa-animation-iteration-count, infinite); - -webkit-animation-timing-function: var(--fa-animation-timing, ease-in-out); - animation-timing-function: var(--fa-animation-timing, ease-in-out); } - -.fa-shake { - -webkit-animation-name: fa-shake; - animation-name: fa-shake; - -webkit-animation-delay: var(--fa-animation-delay, 0s); - animation-delay: var(--fa-animation-delay, 0s); - -webkit-animation-direction: var(--fa-animation-direction, normal); - animation-direction: var(--fa-animation-direction, normal); - -webkit-animation-duration: var(--fa-animation-duration, 1s); - animation-duration: var(--fa-animation-duration, 1s); - -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite); - animation-iteration-count: var(--fa-animation-iteration-count, infinite); - -webkit-animation-timing-function: var(--fa-animation-timing, linear); - animation-timing-function: var(--fa-animation-timing, linear); } - -.fa-spin { - -webkit-animation-name: fa-spin; - animation-name: fa-spin; - -webkit-animation-delay: var(--fa-animation-delay, 0s); - animation-delay: var(--fa-animation-delay, 0s); - -webkit-animation-direction: var(--fa-animation-direction, normal); - animation-direction: var(--fa-animation-direction, normal); - -webkit-animation-duration: var(--fa-animation-duration, 2s); - animation-duration: var(--fa-animation-duration, 2s); - -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite); - animation-iteration-count: var(--fa-animation-iteration-count, infinite); - -webkit-animation-timing-function: var(--fa-animation-timing, linear); - animation-timing-function: var(--fa-animation-timing, linear); } - -.fa-spin-reverse { - --fa-animation-direction: reverse; } - -.fa-pulse, -.fa-spin-pulse { - -webkit-animation-name: fa-spin; - animation-name: fa-spin; - -webkit-animation-direction: var(--fa-animation-direction, normal); - animation-direction: var(--fa-animation-direction, normal); - -webkit-animation-duration: var(--fa-animation-duration, 1s); - animation-duration: var(--fa-animation-duration, 1s); - -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite); - animation-iteration-count: var(--fa-animation-iteration-count, infinite); - -webkit-animation-timing-function: var(--fa-animation-timing, steps(8)); - animation-timing-function: var(--fa-animation-timing, steps(8)); } - -@media (prefers-reduced-motion: reduce) { - .fa-beat, - .fa-bounce, - .fa-fade, - .fa-beat-fade, - .fa-flip, - .fa-pulse, - .fa-shake, - .fa-spin, - .fa-spin-pulse { - -webkit-animation-delay: -1ms; - animation-delay: -1ms; - -webkit-animation-duration: 1ms; - animation-duration: 1ms; - -webkit-animation-iteration-count: 1; - animation-iteration-count: 1; - -webkit-transition-delay: 0s; - transition-delay: 0s; - -webkit-transition-duration: 0s; - transition-duration: 0s; } } - -@-webkit-keyframes fa-beat { - 0%, 90% { - -webkit-transform: scale(1); - transform: scale(1); } - 45% { - -webkit-transform: scale(var(--fa-beat-scale, 1.25)); - transform: scale(var(--fa-beat-scale, 1.25)); } } - -@keyframes fa-beat { - 0%, 90% { - -webkit-transform: scale(1); - transform: scale(1); } - 45% { - -webkit-transform: scale(var(--fa-beat-scale, 1.25)); - transform: scale(var(--fa-beat-scale, 1.25)); } } - -@-webkit-keyframes fa-bounce { - 0% { - -webkit-transform: scale(1, 1) translateY(0); - transform: scale(1, 1) translateY(0); } - 10% { - -webkit-transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0); - transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0); } - 30% { - -webkit-transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em)); - transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em)); } - 50% { - -webkit-transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0); - transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0); } - 57% { - -webkit-transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em)); - transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em)); } - 64% { - -webkit-transform: scale(1, 1) translateY(0); - transform: scale(1, 1) translateY(0); } - 100% { - -webkit-transform: scale(1, 1) translateY(0); - transform: scale(1, 1) translateY(0); } } - -@keyframes fa-bounce { - 0% { - -webkit-transform: scale(1, 1) translateY(0); - transform: scale(1, 1) translateY(0); } - 10% { - -webkit-transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0); - transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0); } - 30% { - -webkit-transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em)); - transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em)); } - 50% { - -webkit-transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0); - transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0); } - 57% { - -webkit-transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em)); - transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em)); } - 64% { - -webkit-transform: scale(1, 1) translateY(0); - transform: scale(1, 1) translateY(0); } - 100% { - -webkit-transform: scale(1, 1) translateY(0); - transform: scale(1, 1) translateY(0); } } - -@-webkit-keyframes fa-fade { - 50% { - opacity: var(--fa-fade-opacity, 0.4); } } - -@keyframes fa-fade { - 50% { - opacity: var(--fa-fade-opacity, 0.4); } } - -@-webkit-keyframes fa-beat-fade { - 0%, 100% { - opacity: var(--fa-beat-fade-opacity, 0.4); - -webkit-transform: scale(1); - transform: scale(1); } - 50% { - opacity: 1; - -webkit-transform: scale(var(--fa-beat-fade-scale, 1.125)); - transform: scale(var(--fa-beat-fade-scale, 1.125)); } } - -@keyframes fa-beat-fade { - 0%, 100% { - opacity: var(--fa-beat-fade-opacity, 0.4); - -webkit-transform: scale(1); - transform: scale(1); } - 50% { - opacity: 1; - -webkit-transform: scale(var(--fa-beat-fade-scale, 1.125)); - transform: scale(var(--fa-beat-fade-scale, 1.125)); } } - -@-webkit-keyframes fa-flip { - 50% { - -webkit-transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg)); - transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg)); } } - -@keyframes fa-flip { - 50% { - -webkit-transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg)); - transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg)); } } - -@-webkit-keyframes fa-shake { - 0% { - -webkit-transform: rotate(-15deg); - transform: rotate(-15deg); } - 4% { - -webkit-transform: rotate(15deg); - transform: rotate(15deg); } - 8%, 24% { - -webkit-transform: rotate(-18deg); - transform: rotate(-18deg); } - 12%, 28% { - -webkit-transform: rotate(18deg); - transform: rotate(18deg); } - 16% { - -webkit-transform: rotate(-22deg); - transform: rotate(-22deg); } - 20% { - -webkit-transform: rotate(22deg); - transform: rotate(22deg); } - 32% { - -webkit-transform: rotate(-12deg); - transform: rotate(-12deg); } - 36% { - -webkit-transform: rotate(12deg); - transform: rotate(12deg); } - 40%, 100% { - -webkit-transform: rotate(0deg); - transform: rotate(0deg); } } - -@keyframes fa-shake { - 0% { - -webkit-transform: rotate(-15deg); - transform: rotate(-15deg); } - 4% { - -webkit-transform: rotate(15deg); - transform: rotate(15deg); } - 8%, 24% { - -webkit-transform: rotate(-18deg); - transform: rotate(-18deg); } - 12%, 28% { - -webkit-transform: rotate(18deg); - transform: rotate(18deg); } - 16% { - -webkit-transform: rotate(-22deg); - transform: rotate(-22deg); } - 20% { - -webkit-transform: rotate(22deg); - transform: rotate(22deg); } - 32% { - -webkit-transform: rotate(-12deg); - transform: rotate(-12deg); } - 36% { - -webkit-transform: rotate(12deg); - transform: rotate(12deg); } - 40%, 100% { - -webkit-transform: rotate(0deg); - transform: rotate(0deg); } } - -@-webkit-keyframes fa-spin { - 0% { - -webkit-transform: rotate(0deg); - transform: rotate(0deg); } - 100% { - -webkit-transform: rotate(360deg); - transform: rotate(360deg); } } - -@keyframes fa-spin { - 0% { - -webkit-transform: rotate(0deg); - transform: rotate(0deg); } - 100% { - -webkit-transform: rotate(360deg); - transform: rotate(360deg); } } - -.fa-rotate-90 { - -webkit-transform: rotate(90deg); - transform: rotate(90deg); } - -.fa-rotate-180 { - -webkit-transform: rotate(180deg); - transform: rotate(180deg); } - -.fa-rotate-270 { - -webkit-transform: rotate(270deg); - transform: rotate(270deg); } - -.fa-flip-horizontal { - -webkit-transform: scale(-1, 1); - transform: scale(-1, 1); } - -.fa-flip-vertical { - -webkit-transform: scale(1, -1); - transform: scale(1, -1); } - -.fa-flip-both, -.fa-flip-horizontal.fa-flip-vertical { - -webkit-transform: scale(-1, -1); - transform: scale(-1, -1); } - -.fa-rotate-by { - -webkit-transform: rotate(var(--fa-rotate-angle, none)); - transform: rotate(var(--fa-rotate-angle, none)); } - -.fa-stack { - display: inline-block; - height: 2em; - line-height: 2em; - position: relative; - vertical-align: middle; - width: 2.5em; } - -.fa-stack-1x, -.fa-stack-2x { - left: 0; - position: absolute; - text-align: center; - width: 100%; - z-index: var(--fa-stack-z-index, auto); } - -.fa-stack-1x { - line-height: inherit; } - -.fa-stack-2x { - font-size: 2em; } - -.fa-inverse { - color: var(--fa-inverse, #fff); } - -/* Font Awesome uses the Unicode Private Use Area (PUA) to ensure screen -readers do not read off random characters that represent icons */ - -.fa-0::before { - content: "\30"; } - -.fa-1::before { - content: "\31"; } - -.fa-2::before { - content: "\32"; } - -.fa-3::before { - content: "\33"; } - -.fa-4::before { - content: "\34"; } - -.fa-5::before { - content: "\35"; } - -.fa-6::before { - content: "\36"; } - -.fa-7::before { - content: "\37"; } - -.fa-8::before { - content: "\38"; } - -.fa-9::before { - content: "\39"; } - -.fa-fill-drip::before { - content: "\f576"; } - -.fa-arrows-to-circle::before { - content: "\e4bd"; } - -.fa-circle-chevron-right::before { - content: "\f138"; } - -.fa-chevron-circle-right::before { - content: "\f138"; } - -.fa-at::before { - content: "\40"; } - -.fa-trash-can::before { - content: "\f2ed"; } - -.fa-trash-alt::before { - content: "\f2ed"; } - -.fa-text-height::before { - content: "\f034"; } - -.fa-user-xmark::before { - content: "\f235"; } - -.fa-user-times::before { - content: "\f235"; } - -.fa-stethoscope::before { - content: "\f0f1"; } - -.fa-message::before { - content: "\f27a"; } - -.fa-comment-alt::before { - content: "\f27a"; } - -.fa-info::before { - content: "\f129"; } - -.fa-down-left-and-up-right-to-center::before { - content: "\f422"; } - -.fa-compress-alt::before { - content: "\f422"; } - -.fa-explosion::before { - content: "\e4e9"; } - -.fa-file-lines::before { - content: "\f15c"; } - -.fa-file-alt::before { - content: "\f15c"; } - -.fa-file-text::before { - content: "\f15c"; } - -.fa-wave-square::before { - content: "\f83e"; } - -.fa-ring::before { - content: "\f70b"; } - -.fa-building-un::before { - content: "\e4d9"; } - -.fa-dice-three::before { - content: "\f527"; } - -.fa-calendar-days::before { - content: "\f073"; } - -.fa-calendar-alt::before { - content: "\f073"; } - -.fa-anchor-circle-check::before { - content: "\e4aa"; } - -.fa-building-circle-arrow-right::before { - content: "\e4d1"; } - -.fa-volleyball::before { - content: "\f45f"; } - -.fa-volleyball-ball::before { - content: "\f45f"; } - -.fa-arrows-up-to-line::before { - content: "\e4c2"; } - -.fa-sort-down::before { - content: "\f0dd"; } - -.fa-sort-desc::before { - content: "\f0dd"; } - -.fa-circle-minus::before { - content: "\f056"; } - -.fa-minus-circle::before { - content: "\f056"; } - -.fa-door-open::before { - content: "\f52b"; } - -.fa-right-from-bracket::before { - content: "\f2f5"; } - -.fa-sign-out-alt::before { - content: "\f2f5"; } - -.fa-atom::before { - content: "\f5d2"; } - -.fa-soap::before { - content: "\e06e"; } - -.fa-icons::before { - content: "\f86d"; } - -.fa-heart-music-camera-bolt::before { - content: "\f86d"; } - -.fa-microphone-lines-slash::before { - content: "\f539"; } - -.fa-microphone-alt-slash::before { - content: "\f539"; } - -.fa-bridge-circle-check::before { - content: "\e4c9"; } - -.fa-pump-medical::before { - content: "\e06a"; } - -.fa-fingerprint::before { - content: "\f577"; } - -.fa-hand-point-right::before { - content: "\f0a4"; } - -.fa-magnifying-glass-location::before { - content: "\f689"; } - -.fa-search-location::before { - content: "\f689"; } - -.fa-forward-step::before { - content: "\f051"; } - -.fa-step-forward::before { - content: "\f051"; } - -.fa-face-smile-beam::before { - content: "\f5b8"; } - -.fa-smile-beam::before { - content: "\f5b8"; } - -.fa-flag-checkered::before { - content: "\f11e"; } - -.fa-football::before { - content: "\f44e"; } - -.fa-football-ball::before { - content: "\f44e"; } - -.fa-school-circle-exclamation::before { - content: "\e56c"; } - -.fa-crop::before { - content: "\f125"; } - -.fa-angles-down::before { - content: "\f103"; } - -.fa-angle-double-down::before { - content: "\f103"; } - -.fa-users-rectangle::before { - content: "\e594"; } - -.fa-people-roof::before { - content: "\e537"; } - -.fa-people-line::before { - content: "\e534"; } - -.fa-beer-mug-empty::before { - content: "\f0fc"; } - -.fa-beer::before { - content: "\f0fc"; } - -.fa-diagram-predecessor::before { - content: "\e477"; } - -.fa-arrow-up-long::before { - content: "\f176"; } - -.fa-long-arrow-up::before { - content: "\f176"; } - -.fa-fire-flame-simple::before { - content: "\f46a"; } - -.fa-burn::before { - content: "\f46a"; } - -.fa-person::before { - content: "\f183"; } - -.fa-male::before { - content: "\f183"; } - -.fa-laptop::before { - content: "\f109"; } - -.fa-file-csv::before { - content: "\f6dd"; } - -.fa-menorah::before { - content: "\f676"; } - -.fa-truck-plane::before { - content: "\e58f"; } - -.fa-record-vinyl::before { - content: "\f8d9"; } - -.fa-face-grin-stars::before { - content: "\f587"; } - -.fa-grin-stars::before { - content: "\f587"; } - -.fa-bong::before { - content: "\f55c"; } - -.fa-spaghetti-monster-flying::before { - content: "\f67b"; } - -.fa-pastafarianism::before { - content: "\f67b"; } - -.fa-arrow-down-up-across-line::before { - content: "\e4af"; } - -.fa-spoon::before { - content: "\f2e5"; } - -.fa-utensil-spoon::before { - content: "\f2e5"; } - -.fa-jar-wheat::before { - content: "\e517"; } - -.fa-envelopes-bulk::before { - content: "\f674"; } - -.fa-mail-bulk::before { - content: "\f674"; } - -.fa-file-circle-exclamation::before { - content: "\e4eb"; } - -.fa-circle-h::before { - content: "\f47e"; } - -.fa-hospital-symbol::before { - content: "\f47e"; } - -.fa-pager::before { - content: "\f815"; } - -.fa-address-book::before { - content: "\f2b9"; } - -.fa-contact-book::before { - content: "\f2b9"; } - -.fa-strikethrough::before { - content: "\f0cc"; } - -.fa-k::before { - content: "\4b"; } - -.fa-landmark-flag::before { - content: "\e51c"; } - -.fa-pencil::before { - content: "\f303"; } - -.fa-pencil-alt::before { - content: "\f303"; } - -.fa-backward::before { - content: "\f04a"; } - -.fa-caret-right::before { - content: "\f0da"; } - -.fa-comments::before { - content: "\f086"; } - -.fa-paste::before { - content: "\f0ea"; } - -.fa-file-clipboard::before { - content: "\f0ea"; } - -.fa-code-pull-request::before { - content: "\e13c"; } - -.fa-clipboard-list::before { - content: "\f46d"; } - -.fa-truck-ramp-box::before { - content: "\f4de"; } - -.fa-truck-loading::before { - content: "\f4de"; } - -.fa-user-check::before { - content: "\f4fc"; } - -.fa-vial-virus::before { - content: "\e597"; } - -.fa-sheet-plastic::before { - content: "\e571"; } - -.fa-blog::before { - content: "\f781"; } - -.fa-user-ninja::before { - content: "\f504"; } - -.fa-person-arrow-up-from-line::before { - content: "\e539"; } - -.fa-scroll-torah::before { - content: "\f6a0"; } - -.fa-torah::before { - content: "\f6a0"; } - -.fa-broom-ball::before { - content: "\f458"; } - -.fa-quidditch::before { - content: "\f458"; } - -.fa-quidditch-broom-ball::before { - content: "\f458"; } - -.fa-toggle-off::before { - content: "\f204"; } - -.fa-box-archive::before { - content: "\f187"; } - -.fa-archive::before { - content: "\f187"; } - -.fa-person-drowning::before { - content: "\e545"; } - -.fa-arrow-down-9-1::before { - content: "\f886"; } - -.fa-sort-numeric-desc::before { - content: "\f886"; } - -.fa-sort-numeric-down-alt::before { - content: "\f886"; } - -.fa-face-grin-tongue-squint::before { - content: "\f58a"; } - -.fa-grin-tongue-squint::before { - content: "\f58a"; } - -.fa-spray-can::before { - content: "\f5bd"; } - -.fa-truck-monster::before { - content: "\f63b"; } - -.fa-w::before { - content: "\57"; } - -.fa-earth-africa::before { - content: "\f57c"; } - -.fa-globe-africa::before { - content: "\f57c"; } - -.fa-rainbow::before { - content: "\f75b"; } - -.fa-circle-notch::before { - content: "\f1ce"; } - -.fa-tablet-screen-button::before { - content: "\f3fa"; } - -.fa-tablet-alt::before { - content: "\f3fa"; } - -.fa-paw::before { - content: "\f1b0"; } - -.fa-cloud::before { - content: "\f0c2"; } - -.fa-trowel-bricks::before { - content: "\e58a"; } - -.fa-face-flushed::before { - content: "\f579"; } - -.fa-flushed::before { - content: "\f579"; } - -.fa-hospital-user::before { - content: "\f80d"; } - -.fa-tent-arrow-left-right::before { - content: "\e57f"; } - -.fa-gavel::before { - content: "\f0e3"; } - -.fa-legal::before { - content: "\f0e3"; } - -.fa-binoculars::before { - content: "\f1e5"; } - -.fa-microphone-slash::before { - content: "\f131"; } - -.fa-box-tissue::before { - content: "\e05b"; } - -.fa-motorcycle::before { - content: "\f21c"; } - -.fa-bell-concierge::before { - content: "\f562"; } - -.fa-concierge-bell::before { - content: "\f562"; } - -.fa-pen-ruler::before { - content: "\f5ae"; } - -.fa-pencil-ruler::before { - content: "\f5ae"; } - -.fa-people-arrows::before { - content: "\e068"; } - -.fa-people-arrows-left-right::before { - content: "\e068"; } - -.fa-mars-and-venus-burst::before { - content: "\e523"; } - -.fa-square-caret-right::before { - content: "\f152"; } - -.fa-caret-square-right::before { - content: "\f152"; } - -.fa-scissors::before { - content: "\f0c4"; } - -.fa-cut::before { - content: "\f0c4"; } - -.fa-sun-plant-wilt::before { - content: "\e57a"; } - -.fa-toilets-portable::before { - content: "\e584"; } - -.fa-hockey-puck::before { - content: "\f453"; } - -.fa-table::before { - content: "\f0ce"; } - -.fa-magnifying-glass-arrow-right::before { - content: "\e521"; } - -.fa-tachograph-digital::before { - content: "\f566"; } - -.fa-digital-tachograph::before { - content: "\f566"; } - -.fa-users-slash::before { - content: "\e073"; } - -.fa-clover::before { - content: "\e139"; } - -.fa-reply::before { - content: "\f3e5"; } - -.fa-mail-reply::before { - content: "\f3e5"; } - -.fa-star-and-crescent::before { - content: "\f699"; } - -.fa-house-fire::before { - content: "\e50c"; } - -.fa-square-minus::before { - content: "\f146"; } - -.fa-minus-square::before { - content: "\f146"; } - -.fa-helicopter::before { - content: "\f533"; } - -.fa-compass::before { - content: "\f14e"; } - -.fa-square-caret-down::before { - content: "\f150"; } - -.fa-caret-square-down::before { - content: "\f150"; } - -.fa-file-circle-question::before { - content: "\e4ef"; } - -.fa-laptop-code::before { - content: "\f5fc"; } - -.fa-swatchbook::before { - content: "\f5c3"; } - -.fa-prescription-bottle::before { - content: "\f485"; } - -.fa-bars::before { - content: "\f0c9"; } - -.fa-navicon::before { - content: "\f0c9"; } - -.fa-people-group::before { - content: "\e533"; } - -.fa-hourglass-end::before { - content: "\f253"; } - -.fa-hourglass-3::before { - content: "\f253"; } - -.fa-heart-crack::before { - content: "\f7a9"; } - -.fa-heart-broken::before { - content: "\f7a9"; } - -.fa-square-up-right::before { - content: "\f360"; } - -.fa-external-link-square-alt::before { - content: "\f360"; } - -.fa-face-kiss-beam::before { - content: "\f597"; } - -.fa-kiss-beam::before { - content: "\f597"; } - -.fa-film::before { - content: "\f008"; } - -.fa-ruler-horizontal::before { - content: "\f547"; } - -.fa-people-robbery::before { - content: "\e536"; } - -.fa-lightbulb::before { - content: "\f0eb"; } - -.fa-caret-left::before { - content: "\f0d9"; } - -.fa-circle-exclamation::before { - content: "\f06a"; } - -.fa-exclamation-circle::before { - content: "\f06a"; } - -.fa-school-circle-xmark::before { - content: "\e56d"; } - -.fa-arrow-right-from-bracket::before { - content: "\f08b"; } - -.fa-sign-out::before { - content: "\f08b"; } - -.fa-circle-chevron-down::before { - content: "\f13a"; } - -.fa-chevron-circle-down::before { - content: "\f13a"; } - -.fa-unlock-keyhole::before { - content: "\f13e"; } - -.fa-unlock-alt::before { - content: "\f13e"; } - -.fa-cloud-showers-heavy::before { - content: "\f740"; } - -.fa-headphones-simple::before { - content: "\f58f"; } - -.fa-headphones-alt::before { - content: "\f58f"; } - -.fa-sitemap::before { - content: "\f0e8"; } - -.fa-circle-dollar-to-slot::before { - content: "\f4b9"; } - -.fa-donate::before { - content: "\f4b9"; } - -.fa-memory::before { - content: "\f538"; } - -.fa-road-spikes::before { - content: "\e568"; } - -.fa-fire-burner::before { - content: "\e4f1"; } - -.fa-flag::before { - content: "\f024"; } - -.fa-hanukiah::before { - content: "\f6e6"; } - -.fa-feather::before { - content: "\f52d"; } - -.fa-volume-low::before { - content: "\f027"; } - -.fa-volume-down::before { - content: "\f027"; } - -.fa-comment-slash::before { - content: "\f4b3"; } - -.fa-cloud-sun-rain::before { - content: "\f743"; } - -.fa-compress::before { - content: "\f066"; } - -.fa-wheat-awn::before { - content: "\e2cd"; } - -.fa-wheat-alt::before { - content: "\e2cd"; } - -.fa-ankh::before { - content: "\f644"; } - -.fa-hands-holding-child::before { - content: "\e4fa"; } - -.fa-asterisk::before { - content: "\2a"; } - -.fa-square-check::before { - content: "\f14a"; } - -.fa-check-square::before { - content: "\f14a"; } - -.fa-peseta-sign::before { - content: "\e221"; } - -.fa-heading::before { - content: "\f1dc"; } - -.fa-header::before { - content: "\f1dc"; } - -.fa-ghost::before { - content: "\f6e2"; } - -.fa-list::before { - content: "\f03a"; } - -.fa-list-squares::before { - content: "\f03a"; } - -.fa-square-phone-flip::before { - content: "\f87b"; } - -.fa-phone-square-alt::before { - content: "\f87b"; } - -.fa-cart-plus::before { - content: "\f217"; } - -.fa-gamepad::before { - content: "\f11b"; } - -.fa-circle-dot::before { - content: "\f192"; } - -.fa-dot-circle::before { - content: "\f192"; } - -.fa-face-dizzy::before { - content: "\f567"; } - -.fa-dizzy::before { - content: "\f567"; } - -.fa-egg::before { - content: "\f7fb"; } - -.fa-house-medical-circle-xmark::before { - content: "\e513"; } - -.fa-campground::before { - content: "\f6bb"; } - -.fa-folder-plus::before { - content: "\f65e"; } - -.fa-futbol::before { - content: "\f1e3"; } - -.fa-futbol-ball::before { - content: "\f1e3"; } - -.fa-soccer-ball::before { - content: "\f1e3"; } - -.fa-paintbrush::before { - content: "\f1fc"; } - -.fa-paint-brush::before { - content: "\f1fc"; } - -.fa-lock::before { - content: "\f023"; } - -.fa-gas-pump::before { - content: "\f52f"; } - -.fa-hot-tub-person::before { - content: "\f593"; } - -.fa-hot-tub::before { - content: "\f593"; } - -.fa-map-location::before { - content: "\f59f"; } - -.fa-map-marked::before { - content: "\f59f"; } - -.fa-house-flood-water::before { - content: "\e50e"; } - -.fa-tree::before { - content: "\f1bb"; } - -.fa-bridge-lock::before { - content: "\e4cc"; } - -.fa-sack-dollar::before { - content: "\f81d"; } - -.fa-pen-to-square::before { - content: "\f044"; } - -.fa-edit::before { - content: "\f044"; } - -.fa-car-side::before { - content: "\f5e4"; } - -.fa-share-nodes::before { - content: "\f1e0"; } - -.fa-share-alt::before { - content: "\f1e0"; } - -.fa-heart-circle-minus::before { - content: "\e4ff"; } - -.fa-hourglass-half::before { - content: "\f252"; } - -.fa-hourglass-2::before { - content: "\f252"; } - -.fa-microscope::before { - content: "\f610"; } - -.fa-sink::before { - content: "\e06d"; } - -.fa-bag-shopping::before { - content: "\f290"; } - -.fa-shopping-bag::before { - content: "\f290"; } - -.fa-arrow-down-z-a::before { - content: "\f881"; } - -.fa-sort-alpha-desc::before { - content: "\f881"; } - -.fa-sort-alpha-down-alt::before { - content: "\f881"; } - -.fa-mitten::before { - content: "\f7b5"; } - -.fa-person-rays::before { - content: "\e54d"; } - -.fa-users::before { - content: "\f0c0"; } - -.fa-eye-slash::before { - content: "\f070"; } - -.fa-flask-vial::before { - content: "\e4f3"; } - -.fa-hand::before { - content: "\f256"; } - -.fa-hand-paper::before { - content: "\f256"; } - -.fa-om::before { - content: "\f679"; } - -.fa-worm::before { - content: "\e599"; } - -.fa-house-circle-xmark::before { - content: "\e50b"; } - -.fa-plug::before { - content: "\f1e6"; } - -.fa-chevron-up::before { - content: "\f077"; } - -.fa-hand-spock::before { - content: "\f259"; } - -.fa-stopwatch::before { - content: "\f2f2"; } - -.fa-face-kiss::before { - content: "\f596"; } - -.fa-kiss::before { - content: "\f596"; } - -.fa-bridge-circle-xmark::before { - content: "\e4cb"; } - -.fa-face-grin-tongue::before { - content: "\f589"; } - -.fa-grin-tongue::before { - content: "\f589"; } - -.fa-chess-bishop::before { - content: "\f43a"; } - -.fa-face-grin-wink::before { - content: "\f58c"; } - -.fa-grin-wink::before { - content: "\f58c"; } - -.fa-ear-deaf::before { - content: "\f2a4"; } - -.fa-deaf::before { - content: "\f2a4"; } - -.fa-deafness::before { - content: "\f2a4"; } - -.fa-hard-of-hearing::before { - content: "\f2a4"; } - -.fa-road-circle-check::before { - content: "\e564"; } - -.fa-dice-five::before { - content: "\f523"; } - -.fa-square-rss::before { - content: "\f143"; } - -.fa-rss-square::before { - content: "\f143"; } - -.fa-land-mine-on::before { - content: "\e51b"; } - -.fa-i-cursor::before { - content: "\f246"; } - -.fa-stamp::before { - content: "\f5bf"; } - -.fa-stairs::before { - content: "\e289"; } - -.fa-i::before { - content: "\49"; } - -.fa-hryvnia-sign::before { - content: "\f6f2"; } - -.fa-hryvnia::before { - content: "\f6f2"; } - -.fa-pills::before { - content: "\f484"; } - -.fa-face-grin-wide::before { - content: "\f581"; } - -.fa-grin-alt::before { - content: "\f581"; } - -.fa-tooth::before { - content: "\f5c9"; } - -.fa-v::before { - content: "\56"; } - -.fa-bangladeshi-taka-sign::before { - content: "\e2e6"; } - -.fa-bicycle::before { - content: "\f206"; } - -.fa-staff-snake::before { - content: "\e579"; } - -.fa-rod-asclepius::before { - content: "\e579"; } - -.fa-rod-snake::before { - content: "\e579"; } - -.fa-staff-aesculapius::before { - content: "\e579"; } - -.fa-head-side-cough-slash::before { - content: "\e062"; } - -.fa-truck-medical::before { - content: "\f0f9"; } - -.fa-ambulance::before { - content: "\f0f9"; } - -.fa-wheat-awn-circle-exclamation::before { - content: "\e598"; } - -.fa-snowman::before { - content: "\f7d0"; } - -.fa-mortar-pestle::before { - content: "\f5a7"; } - -.fa-road-barrier::before { - content: "\e562"; } - -.fa-school::before { - content: "\f549"; } - -.fa-igloo::before { - content: "\f7ae"; } - -.fa-joint::before { - content: "\f595"; } - -.fa-angle-right::before { - content: "\f105"; } - -.fa-horse::before { - content: "\f6f0"; } - -.fa-q::before { - content: "\51"; } - -.fa-g::before { - content: "\47"; } - -.fa-notes-medical::before { - content: "\f481"; } - -.fa-temperature-half::before { - content: "\f2c9"; } - -.fa-temperature-2::before { - content: "\f2c9"; } - -.fa-thermometer-2::before { - content: "\f2c9"; } - -.fa-thermometer-half::before { - content: "\f2c9"; } - -.fa-dong-sign::before { - content: "\e169"; } - -.fa-capsules::before { - content: "\f46b"; } - -.fa-poo-storm::before { - content: "\f75a"; } - -.fa-poo-bolt::before { - content: "\f75a"; } - -.fa-face-frown-open::before { - content: "\f57a"; } - -.fa-frown-open::before { - content: "\f57a"; } - -.fa-hand-point-up::before { - content: "\f0a6"; } - -.fa-money-bill::before { - content: "\f0d6"; } - -.fa-bookmark::before { - content: "\f02e"; } - -.fa-align-justify::before { - content: "\f039"; } - -.fa-umbrella-beach::before { - content: "\f5ca"; } - -.fa-helmet-un::before { - content: "\e503"; } - -.fa-bullseye::before { - content: "\f140"; } - -.fa-bacon::before { - content: "\f7e5"; } - -.fa-hand-point-down::before { - content: "\f0a7"; } - -.fa-arrow-up-from-bracket::before { - content: "\e09a"; } - -.fa-folder::before { - content: "\f07b"; } - -.fa-folder-blank::before { - content: "\f07b"; } - -.fa-file-waveform::before { - content: "\f478"; } - -.fa-file-medical-alt::before { - content: "\f478"; } - -.fa-radiation::before { - content: "\f7b9"; } - -.fa-chart-simple::before { - content: "\e473"; } - -.fa-mars-stroke::before { - content: "\f229"; } - -.fa-vial::before { - content: "\f492"; } - -.fa-gauge::before { - content: "\f624"; } - -.fa-dashboard::before { - content: "\f624"; } - -.fa-gauge-med::before { - content: "\f624"; } - -.fa-tachometer-alt-average::before { - content: "\f624"; } - -.fa-wand-magic-sparkles::before { - content: "\e2ca"; } - -.fa-magic-wand-sparkles::before { - content: "\e2ca"; } - -.fa-e::before { - content: "\45"; } - -.fa-pen-clip::before { - content: "\f305"; } - -.fa-pen-alt::before { - content: "\f305"; } - -.fa-bridge-circle-exclamation::before { - content: "\e4ca"; } - -.fa-user::before { - content: "\f007"; } - -.fa-school-circle-check::before { - content: "\e56b"; } - -.fa-dumpster::before { - content: "\f793"; } - -.fa-van-shuttle::before { - content: "\f5b6"; } - -.fa-shuttle-van::before { - content: "\f5b6"; } - -.fa-building-user::before { - content: "\e4da"; } - -.fa-square-caret-left::before { - content: "\f191"; } - -.fa-caret-square-left::before { - content: "\f191"; } - -.fa-highlighter::before { - content: "\f591"; } - -.fa-key::before { - content: "\f084"; } - -.fa-bullhorn::before { - content: "\f0a1"; } - -.fa-globe::before { - content: "\f0ac"; } - -.fa-synagogue::before { - content: "\f69b"; } - -.fa-person-half-dress::before { - content: "\e548"; } - -.fa-road-bridge::before { - content: "\e563"; } - -.fa-location-arrow::before { - content: "\f124"; } - -.fa-c::before { - content: "\43"; } - -.fa-tablet-button::before { - content: "\f10a"; } - -.fa-building-lock::before { - content: "\e4d6"; } - -.fa-pizza-slice::before { - content: "\f818"; } - -.fa-money-bill-wave::before { - content: "\f53a"; } - -.fa-chart-area::before { - content: "\f1fe"; } - -.fa-area-chart::before { - content: "\f1fe"; } - -.fa-house-flag::before { - content: "\e50d"; } - -.fa-person-circle-minus::before { - content: "\e540"; } - -.fa-ban::before { - content: "\f05e"; } - -.fa-cancel::before { - content: "\f05e"; } - -.fa-camera-rotate::before { - content: "\e0d8"; } - -.fa-spray-can-sparkles::before { - content: "\f5d0"; } - -.fa-air-freshener::before { - content: "\f5d0"; } - -.fa-star::before { - content: "\f005"; } - -.fa-repeat::before { - content: "\f363"; } - -.fa-cross::before { - content: "\f654"; } - -.fa-box::before { - content: "\f466"; } - -.fa-venus-mars::before { - content: "\f228"; } - -.fa-arrow-pointer::before { - content: "\f245"; } - -.fa-mouse-pointer::before { - content: "\f245"; } - -.fa-maximize::before { - content: "\f31e"; } - -.fa-expand-arrows-alt::before { - content: "\f31e"; } - -.fa-charging-station::before { - content: "\f5e7"; } - -.fa-shapes::before { - content: "\f61f"; } - -.fa-triangle-circle-square::before { - content: "\f61f"; } - -.fa-shuffle::before { - content: "\f074"; } - -.fa-random::before { - content: "\f074"; } - -.fa-person-running::before { - content: "\f70c"; } - -.fa-running::before { - content: "\f70c"; } - -.fa-mobile-retro::before { - content: "\e527"; } - -.fa-grip-lines-vertical::before { - content: "\f7a5"; } - -.fa-spider::before { - content: "\f717"; } - -.fa-hands-bound::before { - content: "\e4f9"; } - -.fa-file-invoice-dollar::before { - content: "\f571"; } - -.fa-plane-circle-exclamation::before { - content: "\e556"; } - -.fa-x-ray::before { - content: "\f497"; } - -.fa-spell-check::before { - content: "\f891"; } - -.fa-slash::before { - content: "\f715"; } - -.fa-computer-mouse::before { - content: "\f8cc"; } - -.fa-mouse::before { - content: "\f8cc"; } - -.fa-arrow-right-to-bracket::before { - content: "\f090"; } - -.fa-sign-in::before { - content: "\f090"; } - -.fa-shop-slash::before { - content: "\e070"; } - -.fa-store-alt-slash::before { - content: "\e070"; } - -.fa-server::before { - content: "\f233"; } - -.fa-virus-covid-slash::before { - content: "\e4a9"; } - -.fa-shop-lock::before { - content: "\e4a5"; } - -.fa-hourglass-start::before { - content: "\f251"; } - -.fa-hourglass-1::before { - content: "\f251"; } - -.fa-blender-phone::before { - content: "\f6b6"; } - -.fa-building-wheat::before { - content: "\e4db"; } - -.fa-person-breastfeeding::before { - content: "\e53a"; } - -.fa-right-to-bracket::before { - content: "\f2f6"; } - -.fa-sign-in-alt::before { - content: "\f2f6"; } - -.fa-venus::before { - content: "\f221"; } - -.fa-passport::before { - content: "\f5ab"; } - -.fa-heart-pulse::before { - content: "\f21e"; } - -.fa-heartbeat::before { - content: "\f21e"; } - -.fa-people-carry-box::before { - content: "\f4ce"; } - -.fa-people-carry::before { - content: "\f4ce"; } - -.fa-temperature-high::before { - content: "\f769"; } - -.fa-microchip::before { - content: "\f2db"; } - -.fa-crown::before { - content: "\f521"; } - -.fa-weight-hanging::before { - content: "\f5cd"; } - -.fa-xmarks-lines::before { - content: "\e59a"; } - -.fa-file-prescription::before { - content: "\f572"; } - -.fa-weight-scale::before { - content: "\f496"; } - -.fa-weight::before { - content: "\f496"; } - -.fa-user-group::before { - content: "\f500"; } - -.fa-user-friends::before { - content: "\f500"; } - -.fa-arrow-up-a-z::before { - content: "\f15e"; } - -.fa-sort-alpha-up::before { - content: "\f15e"; } - -.fa-chess-knight::before { - content: "\f441"; } - -.fa-face-laugh-squint::before { - content: "\f59b"; } - -.fa-laugh-squint::before { - content: "\f59b"; } - -.fa-wheelchair::before { - content: "\f193"; } - -.fa-circle-arrow-up::before { - content: "\f0aa"; } - -.fa-arrow-circle-up::before { - content: "\f0aa"; } - -.fa-toggle-on::before { - content: "\f205"; } - -.fa-person-walking::before { - content: "\f554"; } - -.fa-walking::before { - content: "\f554"; } - -.fa-l::before { - content: "\4c"; } - -.fa-fire::before { - content: "\f06d"; } - -.fa-bed-pulse::before { - content: "\f487"; } - -.fa-procedures::before { - content: "\f487"; } - -.fa-shuttle-space::before { - content: "\f197"; } - -.fa-space-shuttle::before { - content: "\f197"; } - -.fa-face-laugh::before { - content: "\f599"; } - -.fa-laugh::before { - content: "\f599"; } - -.fa-folder-open::before { - content: "\f07c"; } - -.fa-heart-circle-plus::before { - content: "\e500"; } - -.fa-code-fork::before { - content: "\e13b"; } - -.fa-city::before { - content: "\f64f"; } - -.fa-microphone-lines::before { - content: "\f3c9"; } - -.fa-microphone-alt::before { - content: "\f3c9"; } - -.fa-pepper-hot::before { - content: "\f816"; } - -.fa-unlock::before { - content: "\f09c"; } - -.fa-colon-sign::before { - content: "\e140"; } - -.fa-headset::before { - content: "\f590"; } - -.fa-store-slash::before { - content: "\e071"; } - -.fa-road-circle-xmark::before { - content: "\e566"; } - -.fa-user-minus::before { - content: "\f503"; } - -.fa-mars-stroke-up::before { - content: "\f22a"; } - -.fa-mars-stroke-v::before { - content: "\f22a"; } - -.fa-champagne-glasses::before { - content: "\f79f"; } - -.fa-glass-cheers::before { - content: "\f79f"; } - -.fa-clipboard::before { - content: "\f328"; } - -.fa-house-circle-exclamation::before { - content: "\e50a"; } - -.fa-file-arrow-up::before { - content: "\f574"; } - -.fa-file-upload::before { - content: "\f574"; } - -.fa-wifi::before { - content: "\f1eb"; } - -.fa-wifi-3::before { - content: "\f1eb"; } - -.fa-wifi-strong::before { - content: "\f1eb"; } - -.fa-bath::before { - content: "\f2cd"; } - -.fa-bathtub::before { - content: "\f2cd"; } - -.fa-underline::before { - content: "\f0cd"; } - -.fa-user-pen::before { - content: "\f4ff"; } - -.fa-user-edit::before { - content: "\f4ff"; } - -.fa-signature::before { - content: "\f5b7"; } - -.fa-stroopwafel::before { - content: "\f551"; } - -.fa-bold::before { - content: "\f032"; } - -.fa-anchor-lock::before { - content: "\e4ad"; } - -.fa-building-ngo::before { - content: "\e4d7"; } - -.fa-manat-sign::before { - content: "\e1d5"; } - -.fa-not-equal::before { - content: "\f53e"; } - -.fa-border-top-left::before { - content: "\f853"; } - -.fa-border-style::before { - content: "\f853"; } - -.fa-map-location-dot::before { - content: "\f5a0"; } - -.fa-map-marked-alt::before { - content: "\f5a0"; } - -.fa-jedi::before { - content: "\f669"; } - -.fa-square-poll-vertical::before { - content: "\f681"; } - -.fa-poll::before { - content: "\f681"; } - -.fa-mug-hot::before { - content: "\f7b6"; } - -.fa-car-battery::before { - content: "\f5df"; } - -.fa-battery-car::before { - content: "\f5df"; } - -.fa-gift::before { - content: "\f06b"; } - -.fa-dice-two::before { - content: "\f528"; } - -.fa-chess-queen::before { - content: "\f445"; } - -.fa-glasses::before { - content: "\f530"; } - -.fa-chess-board::before { - content: "\f43c"; } - -.fa-building-circle-check::before { - content: "\e4d2"; } - -.fa-person-chalkboard::before { - content: "\e53d"; } - -.fa-mars-stroke-right::before { - content: "\f22b"; } - -.fa-mars-stroke-h::before { - content: "\f22b"; } - -.fa-hand-back-fist::before { - content: "\f255"; } - -.fa-hand-rock::before { - content: "\f255"; } - -.fa-square-caret-up::before { - content: "\f151"; } - -.fa-caret-square-up::before { - content: "\f151"; } - -.fa-cloud-showers-water::before { - content: "\e4e4"; } - -.fa-chart-bar::before { - content: "\f080"; } - -.fa-bar-chart::before { - content: "\f080"; } - -.fa-hands-bubbles::before { - content: "\e05e"; } - -.fa-hands-wash::before { - content: "\e05e"; } - -.fa-less-than-equal::before { - content: "\f537"; } - -.fa-train::before { - content: "\f238"; } - -.fa-eye-low-vision::before { - content: "\f2a8"; } - -.fa-low-vision::before { - content: "\f2a8"; } - -.fa-crow::before { - content: "\f520"; } - -.fa-sailboat::before { - content: "\e445"; } - -.fa-window-restore::before { - content: "\f2d2"; } - -.fa-square-plus::before { - content: "\f0fe"; } - -.fa-plus-square::before { - content: "\f0fe"; } - -.fa-torii-gate::before { - content: "\f6a1"; } - -.fa-frog::before { - content: "\f52e"; } - -.fa-bucket::before { - content: "\e4cf"; } - -.fa-image::before { - content: "\f03e"; } - -.fa-microphone::before { - content: "\f130"; } - -.fa-cow::before { - content: "\f6c8"; } - -.fa-caret-up::before { - content: "\f0d8"; } - -.fa-screwdriver::before { - content: "\f54a"; } - -.fa-folder-closed::before { - content: "\e185"; } - -.fa-house-tsunami::before { - content: "\e515"; } - -.fa-square-nfi::before { - content: "\e576"; } - -.fa-arrow-up-from-ground-water::before { - content: "\e4b5"; } - -.fa-martini-glass::before { - content: "\f57b"; } - -.fa-glass-martini-alt::before { - content: "\f57b"; } - -.fa-rotate-left::before { - content: "\f2ea"; } - -.fa-rotate-back::before { - content: "\f2ea"; } - -.fa-rotate-backward::before { - content: "\f2ea"; } - -.fa-undo-alt::before { - content: "\f2ea"; } - -.fa-table-columns::before { - content: "\f0db"; } - -.fa-columns::before { - content: "\f0db"; } - -.fa-lemon::before { - content: "\f094"; } - -.fa-head-side-mask::before { - content: "\e063"; } - -.fa-handshake::before { - content: "\f2b5"; } - -.fa-gem::before { - content: "\f3a5"; } - -.fa-dolly::before { - content: "\f472"; } - -.fa-dolly-box::before { - content: "\f472"; } - -.fa-smoking::before { - content: "\f48d"; } - -.fa-minimize::before { - content: "\f78c"; } - -.fa-compress-arrows-alt::before { - content: "\f78c"; } - -.fa-monument::before { - content: "\f5a6"; } - -.fa-snowplow::before { - content: "\f7d2"; } - -.fa-angles-right::before { - content: "\f101"; } - -.fa-angle-double-right::before { - content: "\f101"; } - -.fa-cannabis::before { - content: "\f55f"; } - -.fa-circle-play::before { - content: "\f144"; } - -.fa-play-circle::before { - content: "\f144"; } - -.fa-tablets::before { - content: "\f490"; } - -.fa-ethernet::before { - content: "\f796"; } - -.fa-euro-sign::before { - content: "\f153"; } - -.fa-eur::before { - content: "\f153"; } - -.fa-euro::before { - content: "\f153"; } - -.fa-chair::before { - content: "\f6c0"; } - -.fa-circle-check::before { - content: "\f058"; } - -.fa-check-circle::before { - content: "\f058"; } - -.fa-circle-stop::before { - content: "\f28d"; } - -.fa-stop-circle::before { - content: "\f28d"; } - -.fa-compass-drafting::before { - content: "\f568"; } - -.fa-drafting-compass::before { - content: "\f568"; } - -.fa-plate-wheat::before { - content: "\e55a"; } - -.fa-icicles::before { - content: "\f7ad"; } - -.fa-person-shelter::before { - content: "\e54f"; } - -.fa-neuter::before { - content: "\f22c"; } - -.fa-id-badge::before { - content: "\f2c1"; } - -.fa-marker::before { - content: "\f5a1"; } - -.fa-face-laugh-beam::before { - content: "\f59a"; } - -.fa-laugh-beam::before { - content: "\f59a"; } - -.fa-helicopter-symbol::before { - content: "\e502"; } - -.fa-universal-access::before { - content: "\f29a"; } - -.fa-circle-chevron-up::before { - content: "\f139"; } - -.fa-chevron-circle-up::before { - content: "\f139"; } - -.fa-lari-sign::before { - content: "\e1c8"; } - -.fa-volcano::before { - content: "\f770"; } - -.fa-person-walking-dashed-line-arrow-right::before { - content: "\e553"; } - -.fa-sterling-sign::before { - content: "\f154"; } - -.fa-gbp::before { - content: "\f154"; } - -.fa-pound-sign::before { - content: "\f154"; } - -.fa-viruses::before { - content: "\e076"; } - -.fa-square-person-confined::before { - content: "\e577"; } - -.fa-user-tie::before { - content: "\f508"; } - -.fa-arrow-down-long::before { - content: "\f175"; } - -.fa-long-arrow-down::before { - content: "\f175"; } - -.fa-tent-arrow-down-to-line::before { - content: "\e57e"; } - -.fa-certificate::before { - content: "\f0a3"; } - -.fa-reply-all::before { - content: "\f122"; } - -.fa-mail-reply-all::before { - content: "\f122"; } - -.fa-suitcase::before { - content: "\f0f2"; } - -.fa-person-skating::before { - content: "\f7c5"; } - -.fa-skating::before { - content: "\f7c5"; } - -.fa-filter-circle-dollar::before { - content: "\f662"; } - -.fa-funnel-dollar::before { - content: "\f662"; } - -.fa-camera-retro::before { - content: "\f083"; } - -.fa-circle-arrow-down::before { - content: "\f0ab"; } - -.fa-arrow-circle-down::before { - content: "\f0ab"; } - -.fa-file-import::before { - content: "\f56f"; } - -.fa-arrow-right-to-file::before { - content: "\f56f"; } - -.fa-square-arrow-up-right::before { - content: "\f14c"; } - -.fa-external-link-square::before { - content: "\f14c"; } - -.fa-box-open::before { - content: "\f49e"; } - -.fa-scroll::before { - content: "\f70e"; } - -.fa-spa::before { - content: "\f5bb"; } - -.fa-location-pin-lock::before { - content: "\e51f"; } - -.fa-pause::before { - content: "\f04c"; } - -.fa-hill-avalanche::before { - content: "\e507"; } - -.fa-temperature-empty::before { - content: "\f2cb"; } - -.fa-temperature-0::before { - content: "\f2cb"; } - -.fa-thermometer-0::before { - content: "\f2cb"; } - -.fa-thermometer-empty::before { - content: "\f2cb"; } - -.fa-bomb::before { - content: "\f1e2"; } - -.fa-registered::before { - content: "\f25d"; } - -.fa-address-card::before { - content: "\f2bb"; } - -.fa-contact-card::before { - content: "\f2bb"; } - -.fa-vcard::before { - content: "\f2bb"; } - -.fa-scale-unbalanced-flip::before { - content: "\f516"; } - -.fa-balance-scale-right::before { - content: "\f516"; } - -.fa-subscript::before { - content: "\f12c"; } - -.fa-diamond-turn-right::before { - content: "\f5eb"; } - -.fa-directions::before { - content: "\f5eb"; } - -.fa-burst::before { - content: "\e4dc"; } - -.fa-house-laptop::before { - content: "\e066"; } - -.fa-laptop-house::before { - content: "\e066"; } - -.fa-face-tired::before { - content: "\f5c8"; } - -.fa-tired::before { - content: "\f5c8"; } - -.fa-money-bills::before { - content: "\e1f3"; } - -.fa-smog::before { - content: "\f75f"; } - -.fa-crutch::before { - content: "\f7f7"; } - -.fa-cloud-arrow-up::before { - content: "\f0ee"; } - -.fa-cloud-upload::before { - content: "\f0ee"; } - -.fa-cloud-upload-alt::before { - content: "\f0ee"; } - -.fa-palette::before { - content: "\f53f"; } - -.fa-arrows-turn-right::before { - content: "\e4c0"; } - -.fa-vest::before { - content: "\e085"; } - -.fa-ferry::before { - content: "\e4ea"; } - -.fa-arrows-down-to-people::before { - content: "\e4b9"; } - -.fa-seedling::before { - content: "\f4d8"; } - -.fa-sprout::before { - content: "\f4d8"; } - -.fa-left-right::before { - content: "\f337"; } - -.fa-arrows-alt-h::before { - content: "\f337"; } - -.fa-boxes-packing::before { - content: "\e4c7"; } - -.fa-circle-arrow-left::before { - content: "\f0a8"; } - -.fa-arrow-circle-left::before { - content: "\f0a8"; } - -.fa-group-arrows-rotate::before { - content: "\e4f6"; } - -.fa-bowl-food::before { - content: "\e4c6"; } - -.fa-candy-cane::before { - content: "\f786"; } - -.fa-arrow-down-wide-short::before { - content: "\f160"; } - -.fa-sort-amount-asc::before { - content: "\f160"; } - -.fa-sort-amount-down::before { - content: "\f160"; } - -.fa-cloud-bolt::before { - content: "\f76c"; } - -.fa-thunderstorm::before { - content: "\f76c"; } - -.fa-text-slash::before { - content: "\f87d"; } - -.fa-remove-format::before { - content: "\f87d"; } - -.fa-face-smile-wink::before { - content: "\f4da"; } - -.fa-smile-wink::before { - content: "\f4da"; } - -.fa-file-word::before { - content: "\f1c2"; } - -.fa-file-powerpoint::before { - content: "\f1c4"; } - -.fa-arrows-left-right::before { - content: "\f07e"; } - -.fa-arrows-h::before { - content: "\f07e"; } - -.fa-house-lock::before { - content: "\e510"; } - -.fa-cloud-arrow-down::before { - content: "\f0ed"; } - -.fa-cloud-download::before { - content: "\f0ed"; } - -.fa-cloud-download-alt::before { - content: "\f0ed"; } - -.fa-children::before { - content: "\e4e1"; } - -.fa-chalkboard::before { - content: "\f51b"; } - -.fa-blackboard::before { - content: "\f51b"; } - -.fa-user-large-slash::before { - content: "\f4fa"; } - -.fa-user-alt-slash::before { - content: "\f4fa"; } - -.fa-envelope-open::before { - content: "\f2b6"; } - -.fa-handshake-simple-slash::before { - content: "\e05f"; } - -.fa-handshake-alt-slash::before { - content: "\e05f"; } - -.fa-mattress-pillow::before { - content: "\e525"; } - -.fa-guarani-sign::before { - content: "\e19a"; } - -.fa-arrows-rotate::before { - content: "\f021"; } - -.fa-refresh::before { - content: "\f021"; } - -.fa-sync::before { - content: "\f021"; } - -.fa-fire-extinguisher::before { - content: "\f134"; } - -.fa-cruzeiro-sign::before { - content: "\e152"; } - -.fa-greater-than-equal::before { - content: "\f532"; } - -.fa-shield-halved::before { - content: "\f3ed"; } - -.fa-shield-alt::before { - content: "\f3ed"; } - -.fa-book-atlas::before { - content: "\f558"; } - -.fa-atlas::before { - content: "\f558"; } - -.fa-virus::before { - content: "\e074"; } - -.fa-envelope-circle-check::before { - content: "\e4e8"; } - -.fa-layer-group::before { - content: "\f5fd"; } - -.fa-arrows-to-dot::before { - content: "\e4be"; } - -.fa-archway::before { - content: "\f557"; } - -.fa-heart-circle-check::before { - content: "\e4fd"; } - -.fa-house-chimney-crack::before { - content: "\f6f1"; } - -.fa-house-damage::before { - content: "\f6f1"; } - -.fa-file-zipper::before { - content: "\f1c6"; } - -.fa-file-archive::before { - content: "\f1c6"; } - -.fa-square::before { - content: "\f0c8"; } - -.fa-martini-glass-empty::before { - content: "\f000"; } - -.fa-glass-martini::before { - content: "\f000"; } - -.fa-couch::before { - content: "\f4b8"; } - -.fa-cedi-sign::before { - content: "\e0df"; } - -.fa-italic::before { - content: "\f033"; } - -.fa-church::before { - content: "\f51d"; } - -.fa-comments-dollar::before { - content: "\f653"; } - -.fa-democrat::before { - content: "\f747"; } - -.fa-z::before { - content: "\5a"; } - -.fa-person-skiing::before { - content: "\f7c9"; } - -.fa-skiing::before { - content: "\f7c9"; } - -.fa-road-lock::before { - content: "\e567"; } - -.fa-a::before { - content: "\41"; } - -.fa-temperature-arrow-down::before { - content: "\e03f"; } - -.fa-temperature-down::before { - content: "\e03f"; } - -.fa-feather-pointed::before { - content: "\f56b"; } - -.fa-feather-alt::before { - content: "\f56b"; } - -.fa-p::before { - content: "\50"; } - -.fa-snowflake::before { - content: "\f2dc"; } - -.fa-newspaper::before { - content: "\f1ea"; } - -.fa-rectangle-ad::before { - content: "\f641"; } - -.fa-ad::before { - content: "\f641"; } - -.fa-circle-arrow-right::before { - content: "\f0a9"; } - -.fa-arrow-circle-right::before { - content: "\f0a9"; } - -.fa-filter-circle-xmark::before { - content: "\e17b"; } - -.fa-locust::before { - content: "\e520"; } - -.fa-sort::before { - content: "\f0dc"; } - -.fa-unsorted::before { - content: "\f0dc"; } - -.fa-list-ol::before { - content: "\f0cb"; } - -.fa-list-1-2::before { - content: "\f0cb"; } - -.fa-list-numeric::before { - content: "\f0cb"; } - -.fa-person-dress-burst::before { - content: "\e544"; } - -.fa-money-check-dollar::before { - content: "\f53d"; } - -.fa-money-check-alt::before { - content: "\f53d"; } - -.fa-vector-square::before { - content: "\f5cb"; } - -.fa-bread-slice::before { - content: "\f7ec"; } - -.fa-language::before { - content: "\f1ab"; } - -.fa-face-kiss-wink-heart::before { - content: "\f598"; } - -.fa-kiss-wink-heart::before { - content: "\f598"; } - -.fa-filter::before { - content: "\f0b0"; } - -.fa-question::before { - content: "\3f"; } - -.fa-file-signature::before { - content: "\f573"; } - -.fa-up-down-left-right::before { - content: "\f0b2"; } - -.fa-arrows-alt::before { - content: "\f0b2"; } - -.fa-house-chimney-user::before { - content: "\e065"; } - -.fa-hand-holding-heart::before { - content: "\f4be"; } - -.fa-puzzle-piece::before { - content: "\f12e"; } - -.fa-money-check::before { - content: "\f53c"; } - -.fa-star-half-stroke::before { - content: "\f5c0"; } - -.fa-star-half-alt::before { - content: "\f5c0"; } - -.fa-code::before { - content: "\f121"; } - -.fa-whiskey-glass::before { - content: "\f7a0"; } - -.fa-glass-whiskey::before { - content: "\f7a0"; } - -.fa-building-circle-exclamation::before { - content: "\e4d3"; } - -.fa-magnifying-glass-chart::before { - content: "\e522"; } - -.fa-arrow-up-right-from-square::before { - content: "\f08e"; } - -.fa-external-link::before { - content: "\f08e"; } - -.fa-cubes-stacked::before { - content: "\e4e6"; } - -.fa-won-sign::before { - content: "\f159"; } - -.fa-krw::before { - content: "\f159"; } - -.fa-won::before { - content: "\f159"; } - -.fa-virus-covid::before { - content: "\e4a8"; } - -.fa-austral-sign::before { - content: "\e0a9"; } - -.fa-f::before { - content: "\46"; } - -.fa-leaf::before { - content: "\f06c"; } - -.fa-road::before { - content: "\f018"; } - -.fa-taxi::before { - content: "\f1ba"; } - -.fa-cab::before { - content: "\f1ba"; } - -.fa-person-circle-plus::before { - content: "\e541"; } - -.fa-chart-pie::before { - content: "\f200"; } - -.fa-pie-chart::before { - content: "\f200"; } - -.fa-bolt-lightning::before { - content: "\e0b7"; } - -.fa-sack-xmark::before { - content: "\e56a"; } - -.fa-file-excel::before { - content: "\f1c3"; } - -.fa-file-contract::before { - content: "\f56c"; } - -.fa-fish-fins::before { - content: "\e4f2"; } - -.fa-building-flag::before { - content: "\e4d5"; } - -.fa-face-grin-beam::before { - content: "\f582"; } - -.fa-grin-beam::before { - content: "\f582"; } - -.fa-object-ungroup::before { - content: "\f248"; } - -.fa-poop::before { - content: "\f619"; } - -.fa-location-pin::before { - content: "\f041"; } - -.fa-map-marker::before { - content: "\f041"; } - -.fa-kaaba::before { - content: "\f66b"; } - -.fa-toilet-paper::before { - content: "\f71e"; } - -.fa-helmet-safety::before { - content: "\f807"; } - -.fa-hard-hat::before { - content: "\f807"; } - -.fa-hat-hard::before { - content: "\f807"; } - -.fa-eject::before { - content: "\f052"; } - -.fa-circle-right::before { - content: "\f35a"; } - -.fa-arrow-alt-circle-right::before { - content: "\f35a"; } - -.fa-plane-circle-check::before { - content: "\e555"; } - -.fa-face-rolling-eyes::before { - content: "\f5a5"; } - -.fa-meh-rolling-eyes::before { - content: "\f5a5"; } - -.fa-object-group::before { - content: "\f247"; } - -.fa-chart-line::before { - content: "\f201"; } - -.fa-line-chart::before { - content: "\f201"; } - -.fa-mask-ventilator::before { - content: "\e524"; } - -.fa-arrow-right::before { - content: "\f061"; } - -.fa-signs-post::before { - content: "\f277"; } - -.fa-map-signs::before { - content: "\f277"; } - -.fa-cash-register::before { - content: "\f788"; } - -.fa-person-circle-question::before { - content: "\e542"; } - -.fa-h::before { - content: "\48"; } - -.fa-tarp::before { - content: "\e57b"; } - -.fa-screwdriver-wrench::before { - content: "\f7d9"; } - -.fa-tools::before { - content: "\f7d9"; } - -.fa-arrows-to-eye::before { - content: "\e4bf"; } - -.fa-plug-circle-bolt::before { - content: "\e55b"; } - -.fa-heart::before { - content: "\f004"; } - -.fa-mars-and-venus::before { - content: "\f224"; } - -.fa-house-user::before { - content: "\e1b0"; } - -.fa-home-user::before { - content: "\e1b0"; } - -.fa-dumpster-fire::before { - content: "\f794"; } - -.fa-house-crack::before { - content: "\e3b1"; } - -.fa-martini-glass-citrus::before { - content: "\f561"; } - -.fa-cocktail::before { - content: "\f561"; } - -.fa-face-surprise::before { - content: "\f5c2"; } - -.fa-surprise::before { - content: "\f5c2"; } - -.fa-bottle-water::before { - content: "\e4c5"; } - -.fa-circle-pause::before { - content: "\f28b"; } - -.fa-pause-circle::before { - content: "\f28b"; } - -.fa-toilet-paper-slash::before { - content: "\e072"; } - -.fa-apple-whole::before { - content: "\f5d1"; } - -.fa-apple-alt::before { - content: "\f5d1"; } - -.fa-kitchen-set::before { - content: "\e51a"; } - -.fa-r::before { - content: "\52"; } - -.fa-temperature-quarter::before { - content: "\f2ca"; } - -.fa-temperature-1::before { - content: "\f2ca"; } - -.fa-thermometer-1::before { - content: "\f2ca"; } - -.fa-thermometer-quarter::before { - content: "\f2ca"; } - -.fa-cube::before { - content: "\f1b2"; } - -.fa-bitcoin-sign::before { - content: "\e0b4"; } - -.fa-shield-dog::before { - content: "\e573"; } - -.fa-solar-panel::before { - content: "\f5ba"; } - -.fa-lock-open::before { - content: "\f3c1"; } - -.fa-elevator::before { - content: "\e16d"; } - -.fa-money-bill-transfer::before { - content: "\e528"; } - -.fa-money-bill-trend-up::before { - content: "\e529"; } - -.fa-house-flood-water-circle-arrow-right::before { - content: "\e50f"; } - -.fa-square-poll-horizontal::before { - content: "\f682"; } - -.fa-poll-h::before { - content: "\f682"; } - -.fa-circle::before { - content: "\f111"; } - -.fa-backward-fast::before { - content: "\f049"; } - -.fa-fast-backward::before { - content: "\f049"; } - -.fa-recycle::before { - content: "\f1b8"; } - -.fa-user-astronaut::before { - content: "\f4fb"; } - -.fa-plane-slash::before { - content: "\e069"; } - -.fa-trademark::before { - content: "\f25c"; } - -.fa-basketball::before { - content: "\f434"; } - -.fa-basketball-ball::before { - content: "\f434"; } - -.fa-satellite-dish::before { - content: "\f7c0"; } - -.fa-circle-up::before { - content: "\f35b"; } - -.fa-arrow-alt-circle-up::before { - content: "\f35b"; } - -.fa-mobile-screen-button::before { - content: "\f3cd"; } - -.fa-mobile-alt::before { - content: "\f3cd"; } - -.fa-volume-high::before { - content: "\f028"; } - -.fa-volume-up::before { - content: "\f028"; } - -.fa-users-rays::before { - content: "\e593"; } - -.fa-wallet::before { - content: "\f555"; } - -.fa-clipboard-check::before { - content: "\f46c"; } - -.fa-file-audio::before { - content: "\f1c7"; } - -.fa-burger::before { - content: "\f805"; } - -.fa-hamburger::before { - content: "\f805"; } - -.fa-wrench::before { - content: "\f0ad"; } - -.fa-bugs::before { - content: "\e4d0"; } - -.fa-rupee-sign::before { - content: "\f156"; } - -.fa-rupee::before { - content: "\f156"; } - -.fa-file-image::before { - content: "\f1c5"; } - -.fa-circle-question::before { - content: "\f059"; } - -.fa-question-circle::before { - content: "\f059"; } - -.fa-plane-departure::before { - content: "\f5b0"; } - -.fa-handshake-slash::before { - content: "\e060"; } - -.fa-book-bookmark::before { - content: "\e0bb"; } - -.fa-code-branch::before { - content: "\f126"; } - -.fa-hat-cowboy::before { - content: "\f8c0"; } - -.fa-bridge::before { - content: "\e4c8"; } - -.fa-phone-flip::before { - content: "\f879"; } - -.fa-phone-alt::before { - content: "\f879"; } - -.fa-truck-front::before { - content: "\e2b7"; } - -.fa-cat::before { - content: "\f6be"; } - -.fa-anchor-circle-exclamation::before { - content: "\e4ab"; } - -.fa-truck-field::before { - content: "\e58d"; } - -.fa-route::before { - content: "\f4d7"; } - -.fa-clipboard-question::before { - content: "\e4e3"; } - -.fa-panorama::before { - content: "\e209"; } - -.fa-comment-medical::before { - content: "\f7f5"; } - -.fa-teeth-open::before { - content: "\f62f"; } - -.fa-file-circle-minus::before { - content: "\e4ed"; } - -.fa-tags::before { - content: "\f02c"; } - -.fa-wine-glass::before { - content: "\f4e3"; } - -.fa-forward-fast::before { - content: "\f050"; } - -.fa-fast-forward::before { - content: "\f050"; } - -.fa-face-meh-blank::before { - content: "\f5a4"; } - -.fa-meh-blank::before { - content: "\f5a4"; } - -.fa-square-parking::before { - content: "\f540"; } - -.fa-parking::before { - content: "\f540"; } - -.fa-house-signal::before { - content: "\e012"; } - -.fa-bars-progress::before { - content: "\f828"; } - -.fa-tasks-alt::before { - content: "\f828"; } - -.fa-faucet-drip::before { - content: "\e006"; } - -.fa-cart-flatbed::before { - content: "\f474"; } - -.fa-dolly-flatbed::before { - content: "\f474"; } - -.fa-ban-smoking::before { - content: "\f54d"; } - -.fa-smoking-ban::before { - content: "\f54d"; } - -.fa-terminal::before { - content: "\f120"; } - -.fa-mobile-button::before { - content: "\f10b"; } - -.fa-house-medical-flag::before { - content: "\e514"; } - -.fa-basket-shopping::before { - content: "\f291"; } - -.fa-shopping-basket::before { - content: "\f291"; } - -.fa-tape::before { - content: "\f4db"; } - -.fa-bus-simple::before { - content: "\f55e"; } - -.fa-bus-alt::before { - content: "\f55e"; } - -.fa-eye::before { - content: "\f06e"; } - -.fa-face-sad-cry::before { - content: "\f5b3"; } - -.fa-sad-cry::before { - content: "\f5b3"; } - -.fa-audio-description::before { - content: "\f29e"; } - -.fa-person-military-to-person::before { - content: "\e54c"; } - -.fa-file-shield::before { - content: "\e4f0"; } - -.fa-user-slash::before { - content: "\f506"; } - -.fa-pen::before { - content: "\f304"; } - -.fa-tower-observation::before { - content: "\e586"; } - -.fa-file-code::before { - content: "\f1c9"; } - -.fa-signal::before { - content: "\f012"; } - -.fa-signal-5::before { - content: "\f012"; } - -.fa-signal-perfect::before { - content: "\f012"; } - -.fa-bus::before { - content: "\f207"; } - -.fa-heart-circle-xmark::before { - content: "\e501"; } - -.fa-house-chimney::before { - content: "\e3af"; } - -.fa-home-lg::before { - content: "\e3af"; } - -.fa-window-maximize::before { - content: "\f2d0"; } - -.fa-face-frown::before { - content: "\f119"; } - -.fa-frown::before { - content: "\f119"; } - -.fa-prescription::before { - content: "\f5b1"; } - -.fa-shop::before { - content: "\f54f"; } - -.fa-store-alt::before { - content: "\f54f"; } - -.fa-floppy-disk::before { - content: "\f0c7"; } - -.fa-save::before { - content: "\f0c7"; } - -.fa-vihara::before { - content: "\f6a7"; } - -.fa-scale-unbalanced::before { - content: "\f515"; } - -.fa-balance-scale-left::before { - content: "\f515"; } - -.fa-sort-up::before { - content: "\f0de"; } - -.fa-sort-asc::before { - content: "\f0de"; } - -.fa-comment-dots::before { - content: "\f4ad"; } - -.fa-commenting::before { - content: "\f4ad"; } - -.fa-plant-wilt::before { - content: "\e5aa"; } - -.fa-diamond::before { - content: "\f219"; } - -.fa-face-grin-squint::before { - content: "\f585"; } - -.fa-grin-squint::before { - content: "\f585"; } - -.fa-hand-holding-dollar::before { - content: "\f4c0"; } - -.fa-hand-holding-usd::before { - content: "\f4c0"; } - -.fa-bacterium::before { - content: "\e05a"; } - -.fa-hand-pointer::before { - content: "\f25a"; } - -.fa-drum-steelpan::before { - content: "\f56a"; } - -.fa-hand-scissors::before { - content: "\f257"; } - -.fa-hands-praying::before { - content: "\f684"; } - -.fa-praying-hands::before { - content: "\f684"; } - -.fa-arrow-rotate-right::before { - content: "\f01e"; } - -.fa-arrow-right-rotate::before { - content: "\f01e"; } - -.fa-arrow-rotate-forward::before { - content: "\f01e"; } - -.fa-redo::before { - content: "\f01e"; } - -.fa-biohazard::before { - content: "\f780"; } - -.fa-location-crosshairs::before { - content: "\f601"; } - -.fa-location::before { - content: "\f601"; } - -.fa-mars-double::before { - content: "\f227"; } - -.fa-child-dress::before { - content: "\e59c"; } - -.fa-users-between-lines::before { - content: "\e591"; } - -.fa-lungs-virus::before { - content: "\e067"; } - -.fa-face-grin-tears::before { - content: "\f588"; } - -.fa-grin-tears::before { - content: "\f588"; } - -.fa-phone::before { - content: "\f095"; } - -.fa-calendar-xmark::before { - content: "\f273"; } - -.fa-calendar-times::before { - content: "\f273"; } - -.fa-child-reaching::before { - content: "\e59d"; } - -.fa-head-side-virus::before { - content: "\e064"; } - -.fa-user-gear::before { - content: "\f4fe"; } - -.fa-user-cog::before { - content: "\f4fe"; } - -.fa-arrow-up-1-9::before { - content: "\f163"; } - -.fa-sort-numeric-up::before { - content: "\f163"; } - -.fa-door-closed::before { - content: "\f52a"; } - -.fa-shield-virus::before { - content: "\e06c"; } - -.fa-dice-six::before { - content: "\f526"; } - -.fa-mosquito-net::before { - content: "\e52c"; } - -.fa-bridge-water::before { - content: "\e4ce"; } - -.fa-person-booth::before { - content: "\f756"; } - -.fa-text-width::before { - content: "\f035"; } - -.fa-hat-wizard::before { - content: "\f6e8"; } - -.fa-pen-fancy::before { - content: "\f5ac"; } - -.fa-person-digging::before { - content: "\f85e"; } - -.fa-digging::before { - content: "\f85e"; } - -.fa-trash::before { - content: "\f1f8"; } - -.fa-gauge-simple::before { - content: "\f629"; } - -.fa-gauge-simple-med::before { - content: "\f629"; } - -.fa-tachometer-average::before { - content: "\f629"; } - -.fa-book-medical::before { - content: "\f7e6"; } - -.fa-poo::before { - content: "\f2fe"; } - -.fa-quote-right::before { - content: "\f10e"; } - -.fa-quote-right-alt::before { - content: "\f10e"; } - -.fa-shirt::before { - content: "\f553"; } - -.fa-t-shirt::before { - content: "\f553"; } - -.fa-tshirt::before { - content: "\f553"; } - -.fa-cubes::before { - content: "\f1b3"; } - -.fa-divide::before { - content: "\f529"; } - -.fa-tenge-sign::before { - content: "\f7d7"; } - -.fa-tenge::before { - content: "\f7d7"; } - -.fa-headphones::before { - content: "\f025"; } - -.fa-hands-holding::before { - content: "\f4c2"; } - -.fa-hands-clapping::before { - content: "\e1a8"; } - -.fa-republican::before { - content: "\f75e"; } - -.fa-arrow-left::before { - content: "\f060"; } - -.fa-person-circle-xmark::before { - content: "\e543"; } - -.fa-ruler::before { - content: "\f545"; } - -.fa-align-left::before { - content: "\f036"; } - -.fa-dice-d6::before { - content: "\f6d1"; } - -.fa-restroom::before { - content: "\f7bd"; } - -.fa-j::before { - content: "\4a"; } - -.fa-users-viewfinder::before { - content: "\e595"; } - -.fa-file-video::before { - content: "\f1c8"; } - -.fa-up-right-from-square::before { - content: "\f35d"; } - -.fa-external-link-alt::before { - content: "\f35d"; } - -.fa-table-cells::before { - content: "\f00a"; } - -.fa-th::before { - content: "\f00a"; } - -.fa-file-pdf::before { - content: "\f1c1"; } - -.fa-book-bible::before { - content: "\f647"; } - -.fa-bible::before { - content: "\f647"; } - -.fa-o::before { - content: "\4f"; } - -.fa-suitcase-medical::before { - content: "\f0fa"; } - -.fa-medkit::before { - content: "\f0fa"; } - -.fa-user-secret::before { - content: "\f21b"; } - -.fa-otter::before { - content: "\f700"; } - -.fa-person-dress::before { - content: "\f182"; } - -.fa-female::before { - content: "\f182"; } - -.fa-comment-dollar::before { - content: "\f651"; } - -.fa-business-time::before { - content: "\f64a"; } - -.fa-briefcase-clock::before { - content: "\f64a"; } - -.fa-table-cells-large::before { - content: "\f009"; } - -.fa-th-large::before { - content: "\f009"; } - -.fa-book-tanakh::before { - content: "\f827"; } - -.fa-tanakh::before { - content: "\f827"; } - -.fa-phone-volume::before { - content: "\f2a0"; } - -.fa-volume-control-phone::before { - content: "\f2a0"; } - -.fa-hat-cowboy-side::before { - content: "\f8c1"; } - -.fa-clipboard-user::before { - content: "\f7f3"; } - -.fa-child::before { - content: "\f1ae"; } - -.fa-lira-sign::before { - content: "\f195"; } - -.fa-satellite::before { - content: "\f7bf"; } - -.fa-plane-lock::before { - content: "\e558"; } - -.fa-tag::before { - content: "\f02b"; } - -.fa-comment::before { - content: "\f075"; } - -.fa-cake-candles::before { - content: "\f1fd"; } - -.fa-birthday-cake::before { - content: "\f1fd"; } - -.fa-cake::before { - content: "\f1fd"; } - -.fa-envelope::before { - content: "\f0e0"; } - -.fa-angles-up::before { - content: "\f102"; } - -.fa-angle-double-up::before { - content: "\f102"; } - -.fa-paperclip::before { - content: "\f0c6"; } - -.fa-arrow-right-to-city::before { - content: "\e4b3"; } - -.fa-ribbon::before { - content: "\f4d6"; } - -.fa-lungs::before { - content: "\f604"; } - -.fa-arrow-up-9-1::before { - content: "\f887"; } - -.fa-sort-numeric-up-alt::before { - content: "\f887"; } - -.fa-litecoin-sign::before { - content: "\e1d3"; } - -.fa-border-none::before { - content: "\f850"; } - -.fa-circle-nodes::before { - content: "\e4e2"; } - -.fa-parachute-box::before { - content: "\f4cd"; } - -.fa-indent::before { - content: "\f03c"; } - -.fa-truck-field-un::before { - content: "\e58e"; } - -.fa-hourglass::before { - content: "\f254"; } - -.fa-hourglass-empty::before { - content: "\f254"; } - -.fa-mountain::before { - content: "\f6fc"; } - -.fa-user-doctor::before { - content: "\f0f0"; } - -.fa-user-md::before { - content: "\f0f0"; } - -.fa-circle-info::before { - content: "\f05a"; } - -.fa-info-circle::before { - content: "\f05a"; } - -.fa-cloud-meatball::before { - content: "\f73b"; } - -.fa-camera::before { - content: "\f030"; } - -.fa-camera-alt::before { - content: "\f030"; } - -.fa-square-virus::before { - content: "\e578"; } - -.fa-meteor::before { - content: "\f753"; } - -.fa-car-on::before { - content: "\e4dd"; } - -.fa-sleigh::before { - content: "\f7cc"; } - -.fa-arrow-down-1-9::before { - content: "\f162"; } - -.fa-sort-numeric-asc::before { - content: "\f162"; } - -.fa-sort-numeric-down::before { - content: "\f162"; } - -.fa-hand-holding-droplet::before { - content: "\f4c1"; } - -.fa-hand-holding-water::before { - content: "\f4c1"; } - -.fa-water::before { - content: "\f773"; } - -.fa-calendar-check::before { - content: "\f274"; } - -.fa-braille::before { - content: "\f2a1"; } - -.fa-prescription-bottle-medical::before { - content: "\f486"; } - -.fa-prescription-bottle-alt::before { - content: "\f486"; } - -.fa-landmark::before { - content: "\f66f"; } - -.fa-truck::before { - content: "\f0d1"; } - -.fa-crosshairs::before { - content: "\f05b"; } - -.fa-person-cane::before { - content: "\e53c"; } - -.fa-tent::before { - content: "\e57d"; } - -.fa-vest-patches::before { - content: "\e086"; } - -.fa-check-double::before { - content: "\f560"; } - -.fa-arrow-down-a-z::before { - content: "\f15d"; } - -.fa-sort-alpha-asc::before { - content: "\f15d"; } - -.fa-sort-alpha-down::before { - content: "\f15d"; } - -.fa-money-bill-wheat::before { - content: "\e52a"; } - -.fa-cookie::before { - content: "\f563"; } - -.fa-arrow-rotate-left::before { - content: "\f0e2"; } - -.fa-arrow-left-rotate::before { - content: "\f0e2"; } - -.fa-arrow-rotate-back::before { - content: "\f0e2"; } - -.fa-arrow-rotate-backward::before { - content: "\f0e2"; } - -.fa-undo::before { - content: "\f0e2"; } - -.fa-hard-drive::before { - content: "\f0a0"; } - -.fa-hdd::before { - content: "\f0a0"; } - -.fa-face-grin-squint-tears::before { - content: "\f586"; } - -.fa-grin-squint-tears::before { - content: "\f586"; } - -.fa-dumbbell::before { - content: "\f44b"; } - -.fa-rectangle-list::before { - content: "\f022"; } - -.fa-list-alt::before { - content: "\f022"; } - -.fa-tarp-droplet::before { - content: "\e57c"; } - -.fa-house-medical-circle-check::before { - content: "\e511"; } - -.fa-person-skiing-nordic::before { - content: "\f7ca"; } - -.fa-skiing-nordic::before { - content: "\f7ca"; } - -.fa-calendar-plus::before { - content: "\f271"; } - -.fa-plane-arrival::before { - content: "\f5af"; } - -.fa-circle-left::before { - content: "\f359"; } - -.fa-arrow-alt-circle-left::before { - content: "\f359"; } - -.fa-train-subway::before { - content: "\f239"; } - -.fa-subway::before { - content: "\f239"; } - -.fa-chart-gantt::before { - content: "\e0e4"; } - -.fa-indian-rupee-sign::before { - content: "\e1bc"; } - -.fa-indian-rupee::before { - content: "\e1bc"; } - -.fa-inr::before { - content: "\e1bc"; } - -.fa-crop-simple::before { - content: "\f565"; } - -.fa-crop-alt::before { - content: "\f565"; } - -.fa-money-bill-1::before { - content: "\f3d1"; } - -.fa-money-bill-alt::before { - content: "\f3d1"; } - -.fa-left-long::before { - content: "\f30a"; } - -.fa-long-arrow-alt-left::before { - content: "\f30a"; } - -.fa-dna::before { - content: "\f471"; } - -.fa-virus-slash::before { - content: "\e075"; } - -.fa-minus::before { - content: "\f068"; } - -.fa-subtract::before { - content: "\f068"; } - -.fa-chess::before { - content: "\f439"; } - -.fa-arrow-left-long::before { - content: "\f177"; } - -.fa-long-arrow-left::before { - content: "\f177"; } - -.fa-plug-circle-check::before { - content: "\e55c"; } - -.fa-street-view::before { - content: "\f21d"; } - -.fa-franc-sign::before { - content: "\e18f"; } - -.fa-volume-off::before { - content: "\f026"; } - -.fa-hands-asl-interpreting::before { - content: "\f2a3"; } - -.fa-american-sign-language-interpreting::before { - content: "\f2a3"; } - -.fa-asl-interpreting::before { - content: "\f2a3"; } - -.fa-hands-american-sign-language-interpreting::before { - content: "\f2a3"; } - -.fa-gear::before { - content: "\f013"; } - -.fa-cog::before { - content: "\f013"; } - -.fa-droplet-slash::before { - content: "\f5c7"; } - -.fa-tint-slash::before { - content: "\f5c7"; } - -.fa-mosque::before { - content: "\f678"; } - -.fa-mosquito::before { - content: "\e52b"; } - -.fa-star-of-david::before { - content: "\f69a"; } - -.fa-person-military-rifle::before { - content: "\e54b"; } - -.fa-cart-shopping::before { - content: "\f07a"; } - -.fa-shopping-cart::before { - content: "\f07a"; } - -.fa-vials::before { - content: "\f493"; } - -.fa-plug-circle-plus::before { - content: "\e55f"; } - -.fa-place-of-worship::before { - content: "\f67f"; } - -.fa-grip-vertical::before { - content: "\f58e"; } - -.fa-arrow-turn-up::before { - content: "\f148"; } - -.fa-level-up::before { - content: "\f148"; } - -.fa-u::before { - content: "\55"; } - -.fa-square-root-variable::before { - content: "\f698"; } - -.fa-square-root-alt::before { - content: "\f698"; } - -.fa-clock::before { - content: "\f017"; } - -.fa-clock-four::before { - content: "\f017"; } - -.fa-backward-step::before { - content: "\f048"; } - -.fa-step-backward::before { - content: "\f048"; } - -.fa-pallet::before { - content: "\f482"; } - -.fa-faucet::before { - content: "\e005"; } - -.fa-baseball-bat-ball::before { - content: "\f432"; } - -.fa-s::before { - content: "\53"; } - -.fa-timeline::before { - content: "\e29c"; } - -.fa-keyboard::before { - content: "\f11c"; } - -.fa-caret-down::before { - content: "\f0d7"; } - -.fa-house-chimney-medical::before { - content: "\f7f2"; } - -.fa-clinic-medical::before { - content: "\f7f2"; } - -.fa-temperature-three-quarters::before { - content: "\f2c8"; } - -.fa-temperature-3::before { - content: "\f2c8"; } - -.fa-thermometer-3::before { - content: "\f2c8"; } - -.fa-thermometer-three-quarters::before { - content: "\f2c8"; } - -.fa-mobile-screen::before { - content: "\f3cf"; } - -.fa-mobile-android-alt::before { - content: "\f3cf"; } - -.fa-plane-up::before { - content: "\e22d"; } - -.fa-piggy-bank::before { - content: "\f4d3"; } - -.fa-battery-half::before { - content: "\f242"; } - -.fa-battery-3::before { - content: "\f242"; } - -.fa-mountain-city::before { - content: "\e52e"; } - -.fa-coins::before { - content: "\f51e"; } - -.fa-khanda::before { - content: "\f66d"; } - -.fa-sliders::before { - content: "\f1de"; } - -.fa-sliders-h::before { - content: "\f1de"; } - -.fa-folder-tree::before { - content: "\f802"; } - -.fa-network-wired::before { - content: "\f6ff"; } - -.fa-map-pin::before { - content: "\f276"; } - -.fa-hamsa::before { - content: "\f665"; } - -.fa-cent-sign::before { - content: "\e3f5"; } - -.fa-flask::before { - content: "\f0c3"; } - -.fa-person-pregnant::before { - content: "\e31e"; } - -.fa-wand-sparkles::before { - content: "\f72b"; } - -.fa-ellipsis-vertical::before { - content: "\f142"; } - -.fa-ellipsis-v::before { - content: "\f142"; } - -.fa-ticket::before { - content: "\f145"; } - -.fa-power-off::before { - content: "\f011"; } - -.fa-right-long::before { - content: "\f30b"; } - -.fa-long-arrow-alt-right::before { - content: "\f30b"; } - -.fa-flag-usa::before { - content: "\f74d"; } - -.fa-laptop-file::before { - content: "\e51d"; } - -.fa-tty::before { - content: "\f1e4"; } - -.fa-teletype::before { - content: "\f1e4"; } - -.fa-diagram-next::before { - content: "\e476"; } - -.fa-person-rifle::before { - content: "\e54e"; } - -.fa-house-medical-circle-exclamation::before { - content: "\e512"; } - -.fa-closed-captioning::before { - content: "\f20a"; } - -.fa-person-hiking::before { - content: "\f6ec"; } - -.fa-hiking::before { - content: "\f6ec"; } - -.fa-venus-double::before { - content: "\f226"; } - -.fa-images::before { - content: "\f302"; } - -.fa-calculator::before { - content: "\f1ec"; } - -.fa-people-pulling::before { - content: "\e535"; } - -.fa-n::before { - content: "\4e"; } - -.fa-cable-car::before { - content: "\f7da"; } - -.fa-tram::before { - content: "\f7da"; } - -.fa-cloud-rain::before { - content: "\f73d"; } - -.fa-building-circle-xmark::before { - content: "\e4d4"; } - -.fa-ship::before { - content: "\f21a"; } - -.fa-arrows-down-to-line::before { - content: "\e4b8"; } - -.fa-download::before { - content: "\f019"; } - -.fa-face-grin::before { - content: "\f580"; } - -.fa-grin::before { - content: "\f580"; } - -.fa-delete-left::before { - content: "\f55a"; } - -.fa-backspace::before { - content: "\f55a"; } - -.fa-eye-dropper::before { - content: "\f1fb"; } - -.fa-eye-dropper-empty::before { - content: "\f1fb"; } - -.fa-eyedropper::before { - content: "\f1fb"; } - -.fa-file-circle-check::before { - content: "\e5a0"; } - -.fa-forward::before { - content: "\f04e"; } - -.fa-mobile::before { - content: "\f3ce"; } - -.fa-mobile-android::before { - content: "\f3ce"; } - -.fa-mobile-phone::before { - content: "\f3ce"; } - -.fa-face-meh::before { - content: "\f11a"; } - -.fa-meh::before { - content: "\f11a"; } - -.fa-align-center::before { - content: "\f037"; } - -.fa-book-skull::before { - content: "\f6b7"; } - -.fa-book-dead::before { - content: "\f6b7"; } - -.fa-id-card::before { - content: "\f2c2"; } - -.fa-drivers-license::before { - content: "\f2c2"; } - -.fa-outdent::before { - content: "\f03b"; } - -.fa-dedent::before { - content: "\f03b"; } - -.fa-heart-circle-exclamation::before { - content: "\e4fe"; } - -.fa-house::before { - content: "\f015"; } - -.fa-home::before { - content: "\f015"; } - -.fa-home-alt::before { - content: "\f015"; } - -.fa-home-lg-alt::before { - content: "\f015"; } - -.fa-calendar-week::before { - content: "\f784"; } - -.fa-laptop-medical::before { - content: "\f812"; } - -.fa-b::before { - content: "\42"; } - -.fa-file-medical::before { - content: "\f477"; } - -.fa-dice-one::before { - content: "\f525"; } - -.fa-kiwi-bird::before { - content: "\f535"; } - -.fa-arrow-right-arrow-left::before { - content: "\f0ec"; } - -.fa-exchange::before { - content: "\f0ec"; } - -.fa-rotate-right::before { - content: "\f2f9"; } - -.fa-redo-alt::before { - content: "\f2f9"; } - -.fa-rotate-forward::before { - content: "\f2f9"; } - -.fa-utensils::before { - content: "\f2e7"; } - -.fa-cutlery::before { - content: "\f2e7"; } - -.fa-arrow-up-wide-short::before { - content: "\f161"; } - -.fa-sort-amount-up::before { - content: "\f161"; } - -.fa-mill-sign::before { - content: "\e1ed"; } - -.fa-bowl-rice::before { - content: "\e2eb"; } - -.fa-skull::before { - content: "\f54c"; } - -.fa-tower-broadcast::before { - content: "\f519"; } - -.fa-broadcast-tower::before { - content: "\f519"; } - -.fa-truck-pickup::before { - content: "\f63c"; } - -.fa-up-long::before { - content: "\f30c"; } - -.fa-long-arrow-alt-up::before { - content: "\f30c"; } - -.fa-stop::before { - content: "\f04d"; } - -.fa-code-merge::before { - content: "\f387"; } - -.fa-upload::before { - content: "\f093"; } - -.fa-hurricane::before { - content: "\f751"; } - -.fa-mound::before { - content: "\e52d"; } - -.fa-toilet-portable::before { - content: "\e583"; } - -.fa-compact-disc::before { - content: "\f51f"; } - -.fa-file-arrow-down::before { - content: "\f56d"; } - -.fa-file-download::before { - content: "\f56d"; } - -.fa-caravan::before { - content: "\f8ff"; } - -.fa-shield-cat::before { - content: "\e572"; } - -.fa-bolt::before { - content: "\f0e7"; } - -.fa-zap::before { - content: "\f0e7"; } - -.fa-glass-water::before { - content: "\e4f4"; } - -.fa-oil-well::before { - content: "\e532"; } - -.fa-vault::before { - content: "\e2c5"; } - -.fa-mars::before { - content: "\f222"; } - -.fa-toilet::before { - content: "\f7d8"; } - -.fa-plane-circle-xmark::before { - content: "\e557"; } - -.fa-yen-sign::before { - content: "\f157"; } - -.fa-cny::before { - content: "\f157"; } - -.fa-jpy::before { - content: "\f157"; } - -.fa-rmb::before { - content: "\f157"; } - -.fa-yen::before { - content: "\f157"; } - -.fa-ruble-sign::before { - content: "\f158"; } - -.fa-rouble::before { - content: "\f158"; } - -.fa-rub::before { - content: "\f158"; } - -.fa-ruble::before { - content: "\f158"; } - -.fa-sun::before { - content: "\f185"; } - -.fa-guitar::before { - content: "\f7a6"; } - -.fa-face-laugh-wink::before { - content: "\f59c"; } - -.fa-laugh-wink::before { - content: "\f59c"; } - -.fa-horse-head::before { - content: "\f7ab"; } - -.fa-bore-hole::before { - content: "\e4c3"; } - -.fa-industry::before { - content: "\f275"; } - -.fa-circle-down::before { - content: "\f358"; } - -.fa-arrow-alt-circle-down::before { - content: "\f358"; } - -.fa-arrows-turn-to-dots::before { - content: "\e4c1"; } - -.fa-florin-sign::before { - content: "\e184"; } - -.fa-arrow-down-short-wide::before { - content: "\f884"; } - -.fa-sort-amount-desc::before { - content: "\f884"; } - -.fa-sort-amount-down-alt::before { - content: "\f884"; } - -.fa-less-than::before { - content: "\3c"; } - -.fa-angle-down::before { - content: "\f107"; } - -.fa-car-tunnel::before { - content: "\e4de"; } - -.fa-head-side-cough::before { - content: "\e061"; } - -.fa-grip-lines::before { - content: "\f7a4"; } - -.fa-thumbs-down::before { - content: "\f165"; } - -.fa-user-lock::before { - content: "\f502"; } - -.fa-arrow-right-long::before { - content: "\f178"; } - -.fa-long-arrow-right::before { - content: "\f178"; } - -.fa-anchor-circle-xmark::before { - content: "\e4ac"; } - -.fa-ellipsis::before { - content: "\f141"; } - -.fa-ellipsis-h::before { - content: "\f141"; } - -.fa-chess-pawn::before { - content: "\f443"; } - -.fa-kit-medical::before { - content: "\f479"; } - -.fa-first-aid::before { - content: "\f479"; } - -.fa-person-through-window::before { - content: "\e5a9"; } - -.fa-toolbox::before { - content: "\f552"; } - -.fa-hands-holding-circle::before { - content: "\e4fb"; } - -.fa-bug::before { - content: "\f188"; } - -.fa-credit-card::before { - content: "\f09d"; } - -.fa-credit-card-alt::before { - content: "\f09d"; } - -.fa-car::before { - content: "\f1b9"; } - -.fa-automobile::before { - content: "\f1b9"; } - -.fa-hand-holding-hand::before { - content: "\e4f7"; } - -.fa-book-open-reader::before { - content: "\f5da"; } - -.fa-book-reader::before { - content: "\f5da"; } - -.fa-mountain-sun::before { - content: "\e52f"; } - -.fa-arrows-left-right-to-line::before { - content: "\e4ba"; } - -.fa-dice-d20::before { - content: "\f6cf"; } - -.fa-truck-droplet::before { - content: "\e58c"; } - -.fa-file-circle-xmark::before { - content: "\e5a1"; } - -.fa-temperature-arrow-up::before { - content: "\e040"; } - -.fa-temperature-up::before { - content: "\e040"; } - -.fa-medal::before { - content: "\f5a2"; } - -.fa-bed::before { - content: "\f236"; } - -.fa-square-h::before { - content: "\f0fd"; } - -.fa-h-square::before { - content: "\f0fd"; } - -.fa-podcast::before { - content: "\f2ce"; } - -.fa-temperature-full::before { - content: "\f2c7"; } - -.fa-temperature-4::before { - content: "\f2c7"; } - -.fa-thermometer-4::before { - content: "\f2c7"; } - -.fa-thermometer-full::before { - content: "\f2c7"; } - -.fa-bell::before { - content: "\f0f3"; } - -.fa-superscript::before { - content: "\f12b"; } - -.fa-plug-circle-xmark::before { - content: "\e560"; } - -.fa-star-of-life::before { - content: "\f621"; } - -.fa-phone-slash::before { - content: "\f3dd"; } - -.fa-paint-roller::before { - content: "\f5aa"; } - -.fa-handshake-angle::before { - content: "\f4c4"; } - -.fa-hands-helping::before { - content: "\f4c4"; } - -.fa-location-dot::before { - content: "\f3c5"; } - -.fa-map-marker-alt::before { - content: "\f3c5"; } - -.fa-file::before { - content: "\f15b"; } - -.fa-greater-than::before { - content: "\3e"; } - -.fa-person-swimming::before { - content: "\f5c4"; } - -.fa-swimmer::before { - content: "\f5c4"; } - -.fa-arrow-down::before { - content: "\f063"; } - -.fa-droplet::before { - content: "\f043"; } - -.fa-tint::before { - content: "\f043"; } - -.fa-eraser::before { - content: "\f12d"; } - -.fa-earth-americas::before { - content: "\f57d"; } - -.fa-earth::before { - content: "\f57d"; } - -.fa-earth-america::before { - content: "\f57d"; } - -.fa-globe-americas::before { - content: "\f57d"; } - -.fa-person-burst::before { - content: "\e53b"; } - -.fa-dove::before { - content: "\f4ba"; } - -.fa-battery-empty::before { - content: "\f244"; } - -.fa-battery-0::before { - content: "\f244"; } - -.fa-socks::before { - content: "\f696"; } - -.fa-inbox::before { - content: "\f01c"; } - -.fa-section::before { - content: "\e447"; } - -.fa-gauge-high::before { - content: "\f625"; } - -.fa-tachometer-alt::before { - content: "\f625"; } - -.fa-tachometer-alt-fast::before { - content: "\f625"; } - -.fa-envelope-open-text::before { - content: "\f658"; } - -.fa-hospital::before { - content: "\f0f8"; } - -.fa-hospital-alt::before { - content: "\f0f8"; } - -.fa-hospital-wide::before { - content: "\f0f8"; } - -.fa-wine-bottle::before { - content: "\f72f"; } - -.fa-chess-rook::before { - content: "\f447"; } - -.fa-bars-staggered::before { - content: "\f550"; } - -.fa-reorder::before { - content: "\f550"; } - -.fa-stream::before { - content: "\f550"; } - -.fa-dharmachakra::before { - content: "\f655"; } - -.fa-hotdog::before { - content: "\f80f"; } - -.fa-person-walking-with-cane::before { - content: "\f29d"; } - -.fa-blind::before { - content: "\f29d"; } - -.fa-drum::before { - content: "\f569"; } - -.fa-ice-cream::before { - content: "\f810"; } - -.fa-heart-circle-bolt::before { - content: "\e4fc"; } - -.fa-fax::before { - content: "\f1ac"; } - -.fa-paragraph::before { - content: "\f1dd"; } - -.fa-check-to-slot::before { - content: "\f772"; } - -.fa-vote-yea::before { - content: "\f772"; } - -.fa-star-half::before { - content: "\f089"; } - -.fa-boxes-stacked::before { - content: "\f468"; } - -.fa-boxes::before { - content: "\f468"; } - -.fa-boxes-alt::before { - content: "\f468"; } - -.fa-link::before { - content: "\f0c1"; } - -.fa-chain::before { - content: "\f0c1"; } - -.fa-ear-listen::before { - content: "\f2a2"; } - -.fa-assistive-listening-systems::before { - content: "\f2a2"; } - -.fa-tree-city::before { - content: "\e587"; } - -.fa-play::before { - content: "\f04b"; } - -.fa-font::before { - content: "\f031"; } - -.fa-rupiah-sign::before { - content: "\e23d"; } - -.fa-magnifying-glass::before { - content: "\f002"; } - -.fa-search::before { - content: "\f002"; } - -.fa-table-tennis-paddle-ball::before { - content: "\f45d"; } - -.fa-ping-pong-paddle-ball::before { - content: "\f45d"; } - -.fa-table-tennis::before { - content: "\f45d"; } - -.fa-person-dots-from-line::before { - content: "\f470"; } - -.fa-diagnoses::before { - content: "\f470"; } - -.fa-trash-can-arrow-up::before { - content: "\f82a"; } - -.fa-trash-restore-alt::before { - content: "\f82a"; } - -.fa-naira-sign::before { - content: "\e1f6"; } - -.fa-cart-arrow-down::before { - content: "\f218"; } - -.fa-walkie-talkie::before { - content: "\f8ef"; } - -.fa-file-pen::before { - content: "\f31c"; } - -.fa-file-edit::before { - content: "\f31c"; } - -.fa-receipt::before { - content: "\f543"; } - -.fa-square-pen::before { - content: "\f14b"; } - -.fa-pen-square::before { - content: "\f14b"; } - -.fa-pencil-square::before { - content: "\f14b"; } - -.fa-suitcase-rolling::before { - content: "\f5c1"; } - -.fa-person-circle-exclamation::before { - content: "\e53f"; } - -.fa-chevron-down::before { - content: "\f078"; } - -.fa-battery-full::before { - content: "\f240"; } - -.fa-battery::before { - content: "\f240"; } - -.fa-battery-5::before { - content: "\f240"; } - -.fa-skull-crossbones::before { - content: "\f714"; } - -.fa-code-compare::before { - content: "\e13a"; } - -.fa-list-ul::before { - content: "\f0ca"; } - -.fa-list-dots::before { - content: "\f0ca"; } - -.fa-school-lock::before { - content: "\e56f"; } - -.fa-tower-cell::before { - content: "\e585"; } - -.fa-down-long::before { - content: "\f309"; } - -.fa-long-arrow-alt-down::before { - content: "\f309"; } - -.fa-ranking-star::before { - content: "\e561"; } - -.fa-chess-king::before { - content: "\f43f"; } - -.fa-person-harassing::before { - content: "\e549"; } - -.fa-brazilian-real-sign::before { - content: "\e46c"; } - -.fa-landmark-dome::before { - content: "\f752"; } - -.fa-landmark-alt::before { - content: "\f752"; } - -.fa-arrow-up::before { - content: "\f062"; } - -.fa-tv::before { - content: "\f26c"; } - -.fa-television::before { - content: "\f26c"; } - -.fa-tv-alt::before { - content: "\f26c"; } - -.fa-shrimp::before { - content: "\e448"; } - -.fa-list-check::before { - content: "\f0ae"; } - -.fa-tasks::before { - content: "\f0ae"; } - -.fa-jug-detergent::before { - content: "\e519"; } - -.fa-circle-user::before { - content: "\f2bd"; } - -.fa-user-circle::before { - content: "\f2bd"; } - -.fa-user-shield::before { - content: "\f505"; } - -.fa-wind::before { - content: "\f72e"; } - -.fa-car-burst::before { - content: "\f5e1"; } - -.fa-car-crash::before { - content: "\f5e1"; } - -.fa-y::before { - content: "\59"; } - -.fa-person-snowboarding::before { - content: "\f7ce"; } - -.fa-snowboarding::before { - content: "\f7ce"; } - -.fa-truck-fast::before { - content: "\f48b"; } - -.fa-shipping-fast::before { - content: "\f48b"; } - -.fa-fish::before { - content: "\f578"; } - -.fa-user-graduate::before { - content: "\f501"; } - -.fa-circle-half-stroke::before { - content: "\f042"; } - -.fa-adjust::before { - content: "\f042"; } - -.fa-clapperboard::before { - content: "\e131"; } - -.fa-circle-radiation::before { - content: "\f7ba"; } - -.fa-radiation-alt::before { - content: "\f7ba"; } - -.fa-baseball::before { - content: "\f433"; } - -.fa-baseball-ball::before { - content: "\f433"; } - -.fa-jet-fighter-up::before { - content: "\e518"; } - -.fa-diagram-project::before { - content: "\f542"; } - -.fa-project-diagram::before { - content: "\f542"; } - -.fa-copy::before { - content: "\f0c5"; } - -.fa-volume-xmark::before { - content: "\f6a9"; } - -.fa-volume-mute::before { - content: "\f6a9"; } - -.fa-volume-times::before { - content: "\f6a9"; } - -.fa-hand-sparkles::before { - content: "\e05d"; } - -.fa-grip::before { - content: "\f58d"; } - -.fa-grip-horizontal::before { - content: "\f58d"; } - -.fa-share-from-square::before { - content: "\f14d"; } - -.fa-share-square::before { - content: "\f14d"; } - -.fa-child-combatant::before { - content: "\e4e0"; } - -.fa-child-rifle::before { - content: "\e4e0"; } - -.fa-gun::before { - content: "\e19b"; } - -.fa-square-phone::before { - content: "\f098"; } - -.fa-phone-square::before { - content: "\f098"; } - -.fa-plus::before { - content: "\2b"; } - -.fa-add::before { - content: "\2b"; } - -.fa-expand::before { - content: "\f065"; } - -.fa-computer::before { - content: "\e4e5"; } - -.fa-xmark::before { - content: "\f00d"; } - -.fa-close::before { - content: "\f00d"; } - -.fa-multiply::before { - content: "\f00d"; } - -.fa-remove::before { - content: "\f00d"; } - -.fa-times::before { - content: "\f00d"; } - -.fa-arrows-up-down-left-right::before { - content: "\f047"; } - -.fa-arrows::before { - content: "\f047"; } - -.fa-chalkboard-user::before { - content: "\f51c"; } - -.fa-chalkboard-teacher::before { - content: "\f51c"; } - -.fa-peso-sign::before { - content: "\e222"; } - -.fa-building-shield::before { - content: "\e4d8"; } - -.fa-baby::before { - content: "\f77c"; } - -.fa-users-line::before { - content: "\e592"; } - -.fa-quote-left::before { - content: "\f10d"; } - -.fa-quote-left-alt::before { - content: "\f10d"; } - -.fa-tractor::before { - content: "\f722"; } - -.fa-trash-arrow-up::before { - content: "\f829"; } - -.fa-trash-restore::before { - content: "\f829"; } - -.fa-arrow-down-up-lock::before { - content: "\e4b0"; } - -.fa-lines-leaning::before { - content: "\e51e"; } - -.fa-ruler-combined::before { - content: "\f546"; } - -.fa-copyright::before { - content: "\f1f9"; } - -.fa-equals::before { - content: "\3d"; } - -.fa-blender::before { - content: "\f517"; } - -.fa-teeth::before { - content: "\f62e"; } - -.fa-shekel-sign::before { - content: "\f20b"; } - -.fa-ils::before { - content: "\f20b"; } - -.fa-shekel::before { - content: "\f20b"; } - -.fa-sheqel::before { - content: "\f20b"; } - -.fa-sheqel-sign::before { - content: "\f20b"; } - -.fa-map::before { - content: "\f279"; } - -.fa-rocket::before { - content: "\f135"; } - -.fa-photo-film::before { - content: "\f87c"; } - -.fa-photo-video::before { - content: "\f87c"; } - -.fa-folder-minus::before { - content: "\f65d"; } - -.fa-store::before { - content: "\f54e"; } - -.fa-arrow-trend-up::before { - content: "\e098"; } - -.fa-plug-circle-minus::before { - content: "\e55e"; } - -.fa-sign-hanging::before { - content: "\f4d9"; } - -.fa-sign::before { - content: "\f4d9"; } - -.fa-bezier-curve::before { - content: "\f55b"; } - -.fa-bell-slash::before { - content: "\f1f6"; } - -.fa-tablet::before { - content: "\f3fb"; } - -.fa-tablet-android::before { - content: "\f3fb"; } - -.fa-school-flag::before { - content: "\e56e"; } - -.fa-fill::before { - content: "\f575"; } - -.fa-angle-up::before { - content: "\f106"; } - -.fa-drumstick-bite::before { - content: "\f6d7"; } - -.fa-holly-berry::before { - content: "\f7aa"; } - -.fa-chevron-left::before { - content: "\f053"; } - -.fa-bacteria::before { - content: "\e059"; } - -.fa-hand-lizard::before { - content: "\f258"; } - -.fa-notdef::before { - content: "\e1fe"; } - -.fa-disease::before { - content: "\f7fa"; } - -.fa-briefcase-medical::before { - content: "\f469"; } - -.fa-genderless::before { - content: "\f22d"; } - -.fa-chevron-right::before { - content: "\f054"; } - -.fa-retweet::before { - content: "\f079"; } - -.fa-car-rear::before { - content: "\f5de"; } - -.fa-car-alt::before { - content: "\f5de"; } - -.fa-pump-soap::before { - content: "\e06b"; } - -.fa-video-slash::before { - content: "\f4e2"; } - -.fa-battery-quarter::before { - content: "\f243"; } - -.fa-battery-2::before { - content: "\f243"; } - -.fa-radio::before { - content: "\f8d7"; } - -.fa-baby-carriage::before { - content: "\f77d"; } - -.fa-carriage-baby::before { - content: "\f77d"; } - -.fa-traffic-light::before { - content: "\f637"; } - -.fa-thermometer::before { - content: "\f491"; } - -.fa-vr-cardboard::before { - content: "\f729"; } - -.fa-hand-middle-finger::before { - content: "\f806"; } - -.fa-percent::before { - content: "\25"; } - -.fa-percentage::before { - content: "\25"; } - -.fa-truck-moving::before { - content: "\f4df"; } - -.fa-glass-water-droplet::before { - content: "\e4f5"; } - -.fa-display::before { - content: "\e163"; } - -.fa-face-smile::before { - content: "\f118"; } - -.fa-smile::before { - content: "\f118"; } - -.fa-thumbtack::before { - content: "\f08d"; } - -.fa-thumb-tack::before { - content: "\f08d"; } - -.fa-trophy::before { - content: "\f091"; } - -.fa-person-praying::before { - content: "\f683"; } - -.fa-pray::before { - content: "\f683"; } - -.fa-hammer::before { - content: "\f6e3"; } - -.fa-hand-peace::before { - content: "\f25b"; } - -.fa-rotate::before { - content: "\f2f1"; } - -.fa-sync-alt::before { - content: "\f2f1"; } - -.fa-spinner::before { - content: "\f110"; } - -.fa-robot::before { - content: "\f544"; } - -.fa-peace::before { - content: "\f67c"; } - -.fa-gears::before { - content: "\f085"; } - -.fa-cogs::before { - content: "\f085"; } - -.fa-warehouse::before { - content: "\f494"; } - -.fa-arrow-up-right-dots::before { - content: "\e4b7"; } - -.fa-splotch::before { - content: "\f5bc"; } - -.fa-face-grin-hearts::before { - content: "\f584"; } - -.fa-grin-hearts::before { - content: "\f584"; } - -.fa-dice-four::before { - content: "\f524"; } - -.fa-sim-card::before { - content: "\f7c4"; } - -.fa-transgender::before { - content: "\f225"; } - -.fa-transgender-alt::before { - content: "\f225"; } - -.fa-mercury::before { - content: "\f223"; } - -.fa-arrow-turn-down::before { - content: "\f149"; } - -.fa-level-down::before { - content: "\f149"; } - -.fa-person-falling-burst::before { - content: "\e547"; } - -.fa-award::before { - content: "\f559"; } - -.fa-ticket-simple::before { - content: "\f3ff"; } - -.fa-ticket-alt::before { - content: "\f3ff"; } - -.fa-building::before { - content: "\f1ad"; } - -.fa-angles-left::before { - content: "\f100"; } - -.fa-angle-double-left::before { - content: "\f100"; } - -.fa-qrcode::before { - content: "\f029"; } - -.fa-clock-rotate-left::before { - content: "\f1da"; } - -.fa-history::before { - content: "\f1da"; } - -.fa-face-grin-beam-sweat::before { - content: "\f583"; } - -.fa-grin-beam-sweat::before { - content: "\f583"; } - -.fa-file-export::before { - content: "\f56e"; } - -.fa-arrow-right-from-file::before { - content: "\f56e"; } - -.fa-shield::before { - content: "\f132"; } - -.fa-shield-blank::before { - content: "\f132"; } - -.fa-arrow-up-short-wide::before { - content: "\f885"; } - -.fa-sort-amount-up-alt::before { - content: "\f885"; } - -.fa-house-medical::before { - content: "\e3b2"; } - -.fa-golf-ball-tee::before { - content: "\f450"; } - -.fa-golf-ball::before { - content: "\f450"; } - -.fa-circle-chevron-left::before { - content: "\f137"; } - -.fa-chevron-circle-left::before { - content: "\f137"; } - -.fa-house-chimney-window::before { - content: "\e00d"; } - -.fa-pen-nib::before { - content: "\f5ad"; } - -.fa-tent-arrow-turn-left::before { - content: "\e580"; } - -.fa-tents::before { - content: "\e582"; } - -.fa-wand-magic::before { - content: "\f0d0"; } - -.fa-magic::before { - content: "\f0d0"; } - -.fa-dog::before { - content: "\f6d3"; } - -.fa-carrot::before { - content: "\f787"; } - -.fa-moon::before { - content: "\f186"; } - -.fa-wine-glass-empty::before { - content: "\f5ce"; } - -.fa-wine-glass-alt::before { - content: "\f5ce"; } - -.fa-cheese::before { - content: "\f7ef"; } - -.fa-yin-yang::before { - content: "\f6ad"; } - -.fa-music::before { - content: "\f001"; } - -.fa-code-commit::before { - content: "\f386"; } - -.fa-temperature-low::before { - content: "\f76b"; } - -.fa-person-biking::before { - content: "\f84a"; } - -.fa-biking::before { - content: "\f84a"; } - -.fa-broom::before { - content: "\f51a"; } - -.fa-shield-heart::before { - content: "\e574"; } - -.fa-gopuram::before { - content: "\f664"; } - -.fa-earth-oceania::before { - content: "\e47b"; } - -.fa-globe-oceania::before { - content: "\e47b"; } - -.fa-square-xmark::before { - content: "\f2d3"; } - -.fa-times-square::before { - content: "\f2d3"; } - -.fa-xmark-square::before { - content: "\f2d3"; } - -.fa-hashtag::before { - content: "\23"; } - -.fa-up-right-and-down-left-from-center::before { - content: "\f424"; } - -.fa-expand-alt::before { - content: "\f424"; } - -.fa-oil-can::before { - content: "\f613"; } - -.fa-t::before { - content: "\54"; } - -.fa-hippo::before { - content: "\f6ed"; } - -.fa-chart-column::before { - content: "\e0e3"; } - -.fa-infinity::before { - content: "\f534"; } - -.fa-vial-circle-check::before { - content: "\e596"; } - -.fa-person-arrow-down-to-line::before { - content: "\e538"; } - -.fa-voicemail::before { - content: "\f897"; } - -.fa-fan::before { - content: "\f863"; } - -.fa-person-walking-luggage::before { - content: "\e554"; } - -.fa-up-down::before { - content: "\f338"; } - -.fa-arrows-alt-v::before { - content: "\f338"; } - -.fa-cloud-moon-rain::before { - content: "\f73c"; } - -.fa-calendar::before { - content: "\f133"; } - -.fa-trailer::before { - content: "\e041"; } - -.fa-bahai::before { - content: "\f666"; } - -.fa-haykal::before { - content: "\f666"; } - -.fa-sd-card::before { - content: "\f7c2"; } - -.fa-dragon::before { - content: "\f6d5"; } - -.fa-shoe-prints::before { - content: "\f54b"; } - -.fa-circle-plus::before { - content: "\f055"; } - -.fa-plus-circle::before { - content: "\f055"; } - -.fa-face-grin-tongue-wink::before { - content: "\f58b"; } - -.fa-grin-tongue-wink::before { - content: "\f58b"; } - -.fa-hand-holding::before { - content: "\f4bd"; } - -.fa-plug-circle-exclamation::before { - content: "\e55d"; } - -.fa-link-slash::before { - content: "\f127"; } - -.fa-chain-broken::before { - content: "\f127"; } - -.fa-chain-slash::before { - content: "\f127"; } - -.fa-unlink::before { - content: "\f127"; } - -.fa-clone::before { - content: "\f24d"; } - -.fa-person-walking-arrow-loop-left::before { - content: "\e551"; } - -.fa-arrow-up-z-a::before { - content: "\f882"; } - -.fa-sort-alpha-up-alt::before { - content: "\f882"; } - -.fa-fire-flame-curved::before { - content: "\f7e4"; } - -.fa-fire-alt::before { - content: "\f7e4"; } - -.fa-tornado::before { - content: "\f76f"; } - -.fa-file-circle-plus::before { - content: "\e494"; } - -.fa-book-quran::before { - content: "\f687"; } - -.fa-quran::before { - content: "\f687"; } - -.fa-anchor::before { - content: "\f13d"; } - -.fa-border-all::before { - content: "\f84c"; } - -.fa-face-angry::before { - content: "\f556"; } - -.fa-angry::before { - content: "\f556"; } - -.fa-cookie-bite::before { - content: "\f564"; } - -.fa-arrow-trend-down::before { - content: "\e097"; } - -.fa-rss::before { - content: "\f09e"; } - -.fa-feed::before { - content: "\f09e"; } - -.fa-draw-polygon::before { - content: "\f5ee"; } - -.fa-scale-balanced::before { - content: "\f24e"; } - -.fa-balance-scale::before { - content: "\f24e"; } - -.fa-gauge-simple-high::before { - content: "\f62a"; } - -.fa-tachometer::before { - content: "\f62a"; } - -.fa-tachometer-fast::before { - content: "\f62a"; } - -.fa-shower::before { - content: "\f2cc"; } - -.fa-desktop::before { - content: "\f390"; } - -.fa-desktop-alt::before { - content: "\f390"; } - -.fa-m::before { - content: "\4d"; } - -.fa-table-list::before { - content: "\f00b"; } - -.fa-th-list::before { - content: "\f00b"; } - -.fa-comment-sms::before { - content: "\f7cd"; } - -.fa-sms::before { - content: "\f7cd"; } - -.fa-book::before { - content: "\f02d"; } - -.fa-user-plus::before { - content: "\f234"; } - -.fa-check::before { - content: "\f00c"; } - -.fa-battery-three-quarters::before { - content: "\f241"; } - -.fa-battery-4::before { - content: "\f241"; } - -.fa-house-circle-check::before { - content: "\e509"; } - -.fa-angle-left::before { - content: "\f104"; } - -.fa-diagram-successor::before { - content: "\e47a"; } - -.fa-truck-arrow-right::before { - content: "\e58b"; } - -.fa-arrows-split-up-and-left::before { - content: "\e4bc"; } - -.fa-hand-fist::before { - content: "\f6de"; } - -.fa-fist-raised::before { - content: "\f6de"; } - -.fa-cloud-moon::before { - content: "\f6c3"; } - -.fa-briefcase::before { - content: "\f0b1"; } - -.fa-person-falling::before { - content: "\e546"; } - -.fa-image-portrait::before { - content: "\f3e0"; } - -.fa-portrait::before { - content: "\f3e0"; } - -.fa-user-tag::before { - content: "\f507"; } - -.fa-rug::before { - content: "\e569"; } - -.fa-earth-europe::before { - content: "\f7a2"; } - -.fa-globe-europe::before { - content: "\f7a2"; } - -.fa-cart-flatbed-suitcase::before { - content: "\f59d"; } - -.fa-luggage-cart::before { - content: "\f59d"; } - -.fa-rectangle-xmark::before { - content: "\f410"; } - -.fa-rectangle-times::before { - content: "\f410"; } - -.fa-times-rectangle::before { - content: "\f410"; } - -.fa-window-close::before { - content: "\f410"; } - -.fa-baht-sign::before { - content: "\e0ac"; } - -.fa-book-open::before { - content: "\f518"; } - -.fa-book-journal-whills::before { - content: "\f66a"; } - -.fa-journal-whills::before { - content: "\f66a"; } - -.fa-handcuffs::before { - content: "\e4f8"; } - -.fa-triangle-exclamation::before { - content: "\f071"; } - -.fa-exclamation-triangle::before { - content: "\f071"; } - -.fa-warning::before { - content: "\f071"; } - -.fa-database::before { - content: "\f1c0"; } - -.fa-share::before { - content: "\f064"; } - -.fa-arrow-turn-right::before { - content: "\f064"; } - -.fa-mail-forward::before { - content: "\f064"; } - -.fa-bottle-droplet::before { - content: "\e4c4"; } - -.fa-mask-face::before { - content: "\e1d7"; } - -.fa-hill-rockslide::before { - content: "\e508"; } - -.fa-right-left::before { - content: "\f362"; } - -.fa-exchange-alt::before { - content: "\f362"; } - -.fa-paper-plane::before { - content: "\f1d8"; } - -.fa-road-circle-exclamation::before { - content: "\e565"; } - -.fa-dungeon::before { - content: "\f6d9"; } - -.fa-align-right::before { - content: "\f038"; } - -.fa-money-bill-1-wave::before { - content: "\f53b"; } - -.fa-money-bill-wave-alt::before { - content: "\f53b"; } - -.fa-life-ring::before { - content: "\f1cd"; } - -.fa-hands::before { - content: "\f2a7"; } - -.fa-sign-language::before { - content: "\f2a7"; } - -.fa-signing::before { - content: "\f2a7"; } - -.fa-calendar-day::before { - content: "\f783"; } - -.fa-water-ladder::before { - content: "\f5c5"; } - -.fa-ladder-water::before { - content: "\f5c5"; } - -.fa-swimming-pool::before { - content: "\f5c5"; } - -.fa-arrows-up-down::before { - content: "\f07d"; } - -.fa-arrows-v::before { - content: "\f07d"; } - -.fa-face-grimace::before { - content: "\f57f"; } - -.fa-grimace::before { - content: "\f57f"; } - -.fa-wheelchair-move::before { - content: "\e2ce"; } - -.fa-wheelchair-alt::before { - content: "\e2ce"; } - -.fa-turn-down::before { - content: "\f3be"; } - -.fa-level-down-alt::before { - content: "\f3be"; } - -.fa-person-walking-arrow-right::before { - content: "\e552"; } - -.fa-square-envelope::before { - content: "\f199"; } - -.fa-envelope-square::before { - content: "\f199"; } - -.fa-dice::before { - content: "\f522"; } - -.fa-bowling-ball::before { - content: "\f436"; } - -.fa-brain::before { - content: "\f5dc"; } - -.fa-bandage::before { - content: "\f462"; } - -.fa-band-aid::before { - content: "\f462"; } - -.fa-calendar-minus::before { - content: "\f272"; } - -.fa-circle-xmark::before { - content: "\f057"; } - -.fa-times-circle::before { - content: "\f057"; } - -.fa-xmark-circle::before { - content: "\f057"; } - -.fa-gifts::before { - content: "\f79c"; } - -.fa-hotel::before { - content: "\f594"; } - -.fa-earth-asia::before { - content: "\f57e"; } - -.fa-globe-asia::before { - content: "\f57e"; } - -.fa-id-card-clip::before { - content: "\f47f"; } - -.fa-id-card-alt::before { - content: "\f47f"; } - -.fa-magnifying-glass-plus::before { - content: "\f00e"; } - -.fa-search-plus::before { - content: "\f00e"; } - -.fa-thumbs-up::before { - content: "\f164"; } - -.fa-user-clock::before { - content: "\f4fd"; } - -.fa-hand-dots::before { - content: "\f461"; } - -.fa-allergies::before { - content: "\f461"; } - -.fa-file-invoice::before { - content: "\f570"; } - -.fa-window-minimize::before { - content: "\f2d1"; } - -.fa-mug-saucer::before { - content: "\f0f4"; } - -.fa-coffee::before { - content: "\f0f4"; } - -.fa-brush::before { - content: "\f55d"; } - -.fa-mask::before { - content: "\f6fa"; } - -.fa-magnifying-glass-minus::before { - content: "\f010"; } - -.fa-search-minus::before { - content: "\f010"; } - -.fa-ruler-vertical::before { - content: "\f548"; } - -.fa-user-large::before { - content: "\f406"; } - -.fa-user-alt::before { - content: "\f406"; } - -.fa-train-tram::before { - content: "\e5b4"; } - -.fa-user-nurse::before { - content: "\f82f"; } - -.fa-syringe::before { - content: "\f48e"; } - -.fa-cloud-sun::before { - content: "\f6c4"; } - -.fa-stopwatch-20::before { - content: "\e06f"; } - -.fa-square-full::before { - content: "\f45c"; } - -.fa-magnet::before { - content: "\f076"; } - -.fa-jar::before { - content: "\e516"; } - -.fa-note-sticky::before { - content: "\f249"; } - -.fa-sticky-note::before { - content: "\f249"; } - -.fa-bug-slash::before { - content: "\e490"; } - -.fa-arrow-up-from-water-pump::before { - content: "\e4b6"; } - -.fa-bone::before { - content: "\f5d7"; } - -.fa-user-injured::before { - content: "\f728"; } - -.fa-face-sad-tear::before { - content: "\f5b4"; } - -.fa-sad-tear::before { - content: "\f5b4"; } - -.fa-plane::before { - content: "\f072"; } - -.fa-tent-arrows-down::before { - content: "\e581"; } - -.fa-exclamation::before { - content: "\21"; } - -.fa-arrows-spin::before { - content: "\e4bb"; } - -.fa-print::before { - content: "\f02f"; } - -.fa-turkish-lira-sign::before { - content: "\e2bb"; } - -.fa-try::before { - content: "\e2bb"; } - -.fa-turkish-lira::before { - content: "\e2bb"; } - -.fa-dollar-sign::before { - content: "\24"; } - -.fa-dollar::before { - content: "\24"; } - -.fa-usd::before { - content: "\24"; } - -.fa-x::before { - content: "\58"; } - -.fa-magnifying-glass-dollar::before { - content: "\f688"; } - -.fa-search-dollar::before { - content: "\f688"; } - -.fa-users-gear::before { - content: "\f509"; } - -.fa-users-cog::before { - content: "\f509"; } - -.fa-person-military-pointing::before { - content: "\e54a"; } - -.fa-building-columns::before { - content: "\f19c"; } - -.fa-bank::before { - content: "\f19c"; } - -.fa-institution::before { - content: "\f19c"; } - -.fa-museum::before { - content: "\f19c"; } - -.fa-university::before { - content: "\f19c"; } - -.fa-umbrella::before { - content: "\f0e9"; } - -.fa-trowel::before { - content: "\e589"; } - -.fa-d::before { - content: "\44"; } - -.fa-stapler::before { - content: "\e5af"; } - -.fa-masks-theater::before { - content: "\f630"; } - -.fa-theater-masks::before { - content: "\f630"; } - -.fa-kip-sign::before { - content: "\e1c4"; } - -.fa-hand-point-left::before { - content: "\f0a5"; } - -.fa-handshake-simple::before { - content: "\f4c6"; } - -.fa-handshake-alt::before { - content: "\f4c6"; } - -.fa-jet-fighter::before { - content: "\f0fb"; } - -.fa-fighter-jet::before { - content: "\f0fb"; } - -.fa-square-share-nodes::before { - content: "\f1e1"; } - -.fa-share-alt-square::before { - content: "\f1e1"; } - -.fa-barcode::before { - content: "\f02a"; } - -.fa-plus-minus::before { - content: "\e43c"; } - -.fa-video::before { - content: "\f03d"; } - -.fa-video-camera::before { - content: "\f03d"; } - -.fa-graduation-cap::before { - content: "\f19d"; } - -.fa-mortar-board::before { - content: "\f19d"; } - -.fa-hand-holding-medical::before { - content: "\e05c"; } - -.fa-person-circle-check::before { - content: "\e53e"; } - -.fa-turn-up::before { - content: "\f3bf"; } - -.fa-level-up-alt::before { - content: "\f3bf"; } - -.sr-only, -.fa-sr-only { - position: absolute; - width: 1px; - height: 1px; - padding: 0; - margin: -1px; - overflow: hidden; - clip: rect(0, 0, 0, 0); - white-space: nowrap; - border-width: 0; } - -.sr-only-focusable:not(:focus), -.fa-sr-only-focusable:not(:focus) { - position: absolute; - width: 1px; - height: 1px; - padding: 0; - margin: -1px; - overflow: hidden; - clip: rect(0, 0, 0, 0); - white-space: nowrap; - border-width: 0; } -:root, :host { - --fa-style-family-brands: 'Font Awesome 6 Brands'; - --fa-font-brands: normal 400 1em/1 'Font Awesome 6 Brands'; } - -@font-face { - font-family: 'Font Awesome 6 Brands'; - font-style: normal; - font-weight: 400; - font-display: block; - src: url("../webfonts/fa-brands-400.woff2") format("woff2"), url("../webfonts/fa-brands-400.ttf") format("truetype"); } - -.fab, -.fa-brands { - font-weight: 400; } - -.fa-monero:before { - content: "\f3d0"; } - -.fa-hooli:before { - content: "\f427"; } - -.fa-yelp:before { - content: "\f1e9"; } - -.fa-cc-visa:before { - content: "\f1f0"; } - -.fa-lastfm:before { - content: "\f202"; } - -.fa-shopware:before { - content: "\f5b5"; } - -.fa-creative-commons-nc:before { - content: "\f4e8"; } - -.fa-aws:before { - content: "\f375"; } - -.fa-redhat:before { - content: "\f7bc"; } - -.fa-yoast:before { - content: "\f2b1"; } - -.fa-cloudflare:before { - content: "\e07d"; } - -.fa-ups:before { - content: "\f7e0"; } - -.fa-wpexplorer:before { - content: "\f2de"; } - -.fa-dyalog:before { - content: "\f399"; } - -.fa-bity:before { - content: "\f37a"; } - -.fa-stackpath:before { - content: "\f842"; } - -.fa-buysellads:before { - content: "\f20d"; } - -.fa-first-order:before { - content: "\f2b0"; } - -.fa-modx:before { - content: "\f285"; } - -.fa-guilded:before { - content: "\e07e"; } - -.fa-vnv:before { - content: "\f40b"; } - -.fa-square-js:before { - content: "\f3b9"; } - -.fa-js-square:before { - content: "\f3b9"; } - -.fa-microsoft:before { - content: "\f3ca"; } - -.fa-qq:before { - content: "\f1d6"; } - -.fa-orcid:before { - content: "\f8d2"; } - -.fa-java:before { - content: "\f4e4"; } - -.fa-invision:before { - content: "\f7b0"; } - -.fa-creative-commons-pd-alt:before { - content: "\f4ed"; } - -.fa-centercode:before { - content: "\f380"; } - -.fa-glide-g:before { - content: "\f2a6"; } - -.fa-drupal:before { - content: "\f1a9"; } - -.fa-hire-a-helper:before { - content: "\f3b0"; } - -.fa-creative-commons-by:before { - content: "\f4e7"; } - -.fa-unity:before { - content: "\e049"; } - -.fa-whmcs:before { - content: "\f40d"; } - -.fa-rocketchat:before { - content: "\f3e8"; } - -.fa-vk:before { - content: "\f189"; } - -.fa-untappd:before { - content: "\f405"; } - -.fa-mailchimp:before { - content: "\f59e"; } - -.fa-css3-alt:before { - content: "\f38b"; } - -.fa-square-reddit:before { - content: "\f1a2"; } - -.fa-reddit-square:before { - content: "\f1a2"; } - -.fa-vimeo-v:before { - content: "\f27d"; } - -.fa-contao:before { - content: "\f26d"; } - -.fa-square-font-awesome:before { - content: "\e5ad"; } - -.fa-deskpro:before { - content: "\f38f"; } - -.fa-sistrix:before { - content: "\f3ee"; } - -.fa-square-instagram:before { - content: "\e055"; } - -.fa-instagram-square:before { - content: "\e055"; } - -.fa-battle-net:before { - content: "\f835"; } - -.fa-the-red-yeti:before { - content: "\f69d"; } - -.fa-square-hacker-news:before { - content: "\f3af"; } - -.fa-hacker-news-square:before { - content: "\f3af"; } - -.fa-edge:before { - content: "\f282"; } - -.fa-threads:before { - content: "\e618"; } - -.fa-napster:before { - content: "\f3d2"; } - -.fa-square-snapchat:before { - content: "\f2ad"; } - -.fa-snapchat-square:before { - content: "\f2ad"; } - -.fa-google-plus-g:before { - content: "\f0d5"; } - -.fa-artstation:before { - content: "\f77a"; } - -.fa-markdown:before { - content: "\f60f"; } - -.fa-sourcetree:before { - content: "\f7d3"; } - -.fa-google-plus:before { - content: "\f2b3"; } - -.fa-diaspora:before { - content: "\f791"; } - -.fa-foursquare:before { - content: "\f180"; } - -.fa-stack-overflow:before { - content: "\f16c"; } - -.fa-github-alt:before { - content: "\f113"; } - -.fa-phoenix-squadron:before { - content: "\f511"; } - -.fa-pagelines:before { - content: "\f18c"; } - -.fa-algolia:before { - content: "\f36c"; } - -.fa-red-river:before { - content: "\f3e3"; } - -.fa-creative-commons-sa:before { - content: "\f4ef"; } - -.fa-safari:before { - content: "\f267"; } - -.fa-google:before { - content: "\f1a0"; } - -.fa-square-font-awesome-stroke:before { - content: "\f35c"; } - -.fa-font-awesome-alt:before { - content: "\f35c"; } - -.fa-atlassian:before { - content: "\f77b"; } - -.fa-linkedin-in:before { - content: "\f0e1"; } - -.fa-digital-ocean:before { - content: "\f391"; } - -.fa-nimblr:before { - content: "\f5a8"; } - -.fa-chromecast:before { - content: "\f838"; } - -.fa-evernote:before { - content: "\f839"; } - -.fa-hacker-news:before { - content: "\f1d4"; } - -.fa-creative-commons-sampling:before { - content: "\f4f0"; } - -.fa-adversal:before { - content: "\f36a"; } - -.fa-creative-commons:before { - content: "\f25e"; } - -.fa-watchman-monitoring:before { - content: "\e087"; } - -.fa-fonticons:before { - content: "\f280"; } - -.fa-weixin:before { - content: "\f1d7"; } - -.fa-shirtsinbulk:before { - content: "\f214"; } - -.fa-codepen:before { - content: "\f1cb"; } - -.fa-git-alt:before { - content: "\f841"; } - -.fa-lyft:before { - content: "\f3c3"; } - -.fa-rev:before { - content: "\f5b2"; } - -.fa-windows:before { - content: "\f17a"; } - -.fa-wizards-of-the-coast:before { - content: "\f730"; } - -.fa-square-viadeo:before { - content: "\f2aa"; } - -.fa-viadeo-square:before { - content: "\f2aa"; } - -.fa-meetup:before { - content: "\f2e0"; } - -.fa-centos:before { - content: "\f789"; } - -.fa-adn:before { - content: "\f170"; } - -.fa-cloudsmith:before { - content: "\f384"; } - -.fa-pied-piper-alt:before { - content: "\f1a8"; } - -.fa-square-dribbble:before { - content: "\f397"; } - -.fa-dribbble-square:before { - content: "\f397"; } - -.fa-codiepie:before { - content: "\f284"; } - -.fa-node:before { - content: "\f419"; } - -.fa-mix:before { - content: "\f3cb"; } - -.fa-steam:before { - content: "\f1b6"; } - -.fa-cc-apple-pay:before { - content: "\f416"; } - -.fa-scribd:before { - content: "\f28a"; } - -.fa-debian:before { - content: "\e60b"; } - -.fa-openid:before { - content: "\f19b"; } - -.fa-instalod:before { - content: "\e081"; } - -.fa-expeditedssl:before { - content: "\f23e"; } - -.fa-sellcast:before { - content: "\f2da"; } - -.fa-square-twitter:before { - content: "\f081"; } - -.fa-twitter-square:before { - content: "\f081"; } - -.fa-r-project:before { - content: "\f4f7"; } - -.fa-delicious:before { - content: "\f1a5"; } - -.fa-freebsd:before { - content: "\f3a4"; } - -.fa-vuejs:before { - content: "\f41f"; } - -.fa-accusoft:before { - content: "\f369"; } - -.fa-ioxhost:before { - content: "\f208"; } - -.fa-fonticons-fi:before { - content: "\f3a2"; } - -.fa-app-store:before { - content: "\f36f"; } - -.fa-cc-mastercard:before { - content: "\f1f1"; } - -.fa-itunes-note:before { - content: "\f3b5"; } - -.fa-golang:before { - content: "\e40f"; } - -.fa-kickstarter:before { - content: "\f3bb"; } - -.fa-grav:before { - content: "\f2d6"; } - -.fa-weibo:before { - content: "\f18a"; } - -.fa-uncharted:before { - content: "\e084"; } - -.fa-firstdraft:before { - content: "\f3a1"; } - -.fa-square-youtube:before { - content: "\f431"; } - -.fa-youtube-square:before { - content: "\f431"; } - -.fa-wikipedia-w:before { - content: "\f266"; } - -.fa-wpressr:before { - content: "\f3e4"; } - -.fa-rendact:before { - content: "\f3e4"; } - -.fa-angellist:before { - content: "\f209"; } - -.fa-galactic-republic:before { - content: "\f50c"; } - -.fa-nfc-directional:before { - content: "\e530"; } - -.fa-skype:before { - content: "\f17e"; } - -.fa-joget:before { - content: "\f3b7"; } - -.fa-fedora:before { - content: "\f798"; } - -.fa-stripe-s:before { - content: "\f42a"; } - -.fa-meta:before { - content: "\e49b"; } - -.fa-laravel:before { - content: "\f3bd"; } - -.fa-hotjar:before { - content: "\f3b1"; } - -.fa-bluetooth-b:before { - content: "\f294"; } - -.fa-sticker-mule:before { - content: "\f3f7"; } - -.fa-creative-commons-zero:before { - content: "\f4f3"; } - -.fa-hips:before { - content: "\f452"; } - -.fa-behance:before { - content: "\f1b4"; } - -.fa-reddit:before { - content: "\f1a1"; } - -.fa-discord:before { - content: "\f392"; } - -.fa-chrome:before { - content: "\f268"; } - -.fa-app-store-ios:before { - content: "\f370"; } - -.fa-cc-discover:before { - content: "\f1f2"; } - -.fa-wpbeginner:before { - content: "\f297"; } - -.fa-confluence:before { - content: "\f78d"; } - -.fa-mdb:before { - content: "\f8ca"; } - -.fa-dochub:before { - content: "\f394"; } - -.fa-accessible-icon:before { - content: "\f368"; } - -.fa-ebay:before { - content: "\f4f4"; } - -.fa-amazon:before { - content: "\f270"; } - -.fa-unsplash:before { - content: "\e07c"; } - -.fa-yarn:before { - content: "\f7e3"; } - -.fa-square-steam:before { - content: "\f1b7"; } - -.fa-steam-square:before { - content: "\f1b7"; } - -.fa-500px:before { - content: "\f26e"; } - -.fa-square-vimeo:before { - content: "\f194"; } - -.fa-vimeo-square:before { - content: "\f194"; } - -.fa-asymmetrik:before { - content: "\f372"; } - -.fa-font-awesome:before { - content: "\f2b4"; } - -.fa-font-awesome-flag:before { - content: "\f2b4"; } - -.fa-font-awesome-logo-full:before { - content: "\f2b4"; } - -.fa-gratipay:before { - content: "\f184"; } - -.fa-apple:before { - content: "\f179"; } - 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Hide your header until you need it - * Copyright (c) 2017 Nick Williams - http://wicky.nillia.ms/headroom.js - * License: MIT - */ - -!function(a){a&&(a.fn.headroom=function(b){return this.each(function(){var c=a(this),d=c.data("headroom"),e="object"==typeof b&&b;e=a.extend(!0,{},Headroom.options,e),d||(d=new Headroom(this,e),d.init(),c.data("headroom",d)),"string"==typeof b&&(d[b](),"destroy"===b&&c.removeData("headroom"))})},a("[data-headroom]").each(function(){var b=a(this);b.headroom(b.data())}))}(window.Zepto||window.jQuery); \ No newline at end of file diff --git a/docs/deps/jquery-3.6.0/jquery-3.6.0.js b/docs/deps/jquery-3.6.0/jquery-3.6.0.js deleted file mode 100644 index fc6c299b..00000000 --- a/docs/deps/jquery-3.6.0/jquery-3.6.0.js +++ /dev/null @@ -1,10881 +0,0 @@ -/*! - * jQuery JavaScript Library v3.6.0 - * https://jquery.com/ - * - * Includes Sizzle.js - * https://sizzlejs.com/ - * - * Copyright OpenJS Foundation and other contributors - * Released under the MIT license - * https://jquery.org/license - * - * Date: 2021-03-02T17:08Z - */ -( function( global, factory ) { - - "use strict"; - - if ( typeof module === "object" && typeof module.exports === "object" ) { - - // For CommonJS and CommonJS-like environments where a proper `window` - // is present, execute the factory and get jQuery. - // For environments that do not have a `window` with a `document` - // (such as Node.js), expose a factory as module.exports. - // This accentuates the need for the creation of a real `window`. - // e.g. var jQuery = require("jquery")(window); - // See ticket #14549 for more info. - module.exports = global.document ? - factory( global, true ) : - function( w ) { - if ( !w.document ) { - throw new Error( "jQuery requires a window with a document" ); - } - return factory( w ); - }; - } else { - factory( global ); - } - -// Pass this if window is not defined yet -} )( typeof window !== "undefined" ? window : this, function( window, noGlobal ) { - -// Edge <= 12 - 13+, Firefox <=18 - 45+, IE 10 - 11, Safari 5.1 - 9+, iOS 6 - 9.1 -// throw exceptions when non-strict code (e.g., ASP.NET 4.5) accesses strict mode -// arguments.callee.caller (trac-13335). But as of jQuery 3.0 (2016), strict mode should be common -// enough that all such attempts are guarded in a try block. -"use strict"; - -var arr = []; - -var getProto = Object.getPrototypeOf; - -var slice = arr.slice; - -var flat = arr.flat ? function( array ) { - return arr.flat.call( array ); -} : function( array ) { - return arr.concat.apply( [], array ); -}; - - -var push = arr.push; - -var indexOf = arr.indexOf; - -var class2type = {}; - -var toString = class2type.toString; - -var hasOwn = class2type.hasOwnProperty; - -var fnToString = hasOwn.toString; - -var ObjectFunctionString = fnToString.call( Object ); - -var support = {}; - -var isFunction = function isFunction( obj ) { - - // Support: Chrome <=57, Firefox <=52 - // In some browsers, typeof returns "function" for HTML elements - // (i.e., `typeof document.createElement( "object" ) === "function"`). - // We don't want to classify *any* DOM node as a function. - // Support: QtWeb <=3.8.5, WebKit <=534.34, wkhtmltopdf tool <=0.12.5 - // Plus for old WebKit, typeof returns "function" for HTML collections - // (e.g., `typeof document.getElementsByTagName("div") === "function"`). (gh-4756) - return typeof obj === "function" && typeof obj.nodeType !== "number" && - typeof obj.item !== "function"; - }; - - -var isWindow = function isWindow( obj ) { - return obj != null && obj === obj.window; - }; - - -var document = window.document; - - - - var preservedScriptAttributes = { - type: true, - src: true, - nonce: true, - noModule: true - }; - - function DOMEval( code, node, doc ) { - doc = doc || document; - - var i, val, - script = doc.createElement( "script" ); - - script.text = code; - if ( node ) { - for ( i in preservedScriptAttributes ) { - - // Support: Firefox 64+, Edge 18+ - // Some browsers don't support the "nonce" property on scripts. - // On the other hand, just using `getAttribute` is not enough as - // the `nonce` attribute is reset to an empty string whenever it - // becomes browsing-context connected. - // See https://github.com/whatwg/html/issues/2369 - // See https://html.spec.whatwg.org/#nonce-attributes - // The `node.getAttribute` check was added for the sake of - // `jQuery.globalEval` so that it can fake a nonce-containing node - // via an object. - val = node[ i ] || node.getAttribute && node.getAttribute( i ); - if ( val ) { - script.setAttribute( i, val ); - } - } - } - doc.head.appendChild( script ).parentNode.removeChild( script ); - } - - -function toType( obj ) { - if ( obj == null ) { - return obj + ""; - } - - // Support: Android <=2.3 only (functionish RegExp) - return typeof obj === "object" || typeof obj === "function" ? - class2type[ toString.call( obj ) ] || "object" : - typeof obj; -} -/* global Symbol */ -// Defining this global in .eslintrc.json would create a danger of using the global -// unguarded in another place, it seems safer to define global only for this module - - - -var - version = "3.6.0", - - // Define a local copy of jQuery - jQuery = function( selector, context ) { - - // The jQuery object is actually just the init constructor 'enhanced' - // Need init if jQuery is called (just allow error to be thrown if not included) - return new jQuery.fn.init( selector, context ); - }; - -jQuery.fn = jQuery.prototype = { - - // The current version of jQuery being used - jquery: version, - - constructor: jQuery, - - // The default length of a jQuery object is 0 - length: 0, - - toArray: function() { - return slice.call( this ); - }, - - // Get the Nth element in the matched element set OR - // Get the whole matched element set as a clean array - get: function( num ) { - - // Return all the elements in a clean array - if ( num == null ) { - return slice.call( this ); - } - - // Return just the one element from the set - return num < 0 ? this[ num + this.length ] : this[ num ]; - }, - - // Take an array of elements and push it onto the stack - // (returning the new matched element set) - pushStack: function( elems ) { - - // Build a new jQuery matched element set - var ret = jQuery.merge( this.constructor(), elems ); - - // Add the old object onto the stack (as a reference) - ret.prevObject = this; - - // Return the newly-formed element set - return ret; - }, - - // Execute a callback for every element in the matched set. - each: function( callback ) { - return jQuery.each( this, callback ); - }, - - map: function( callback ) { - return this.pushStack( jQuery.map( this, function( elem, i ) { - return callback.call( elem, i, elem ); - } ) ); - }, - - slice: function() { - return this.pushStack( slice.apply( this, arguments ) ); - }, - - first: function() { - return this.eq( 0 ); - }, - - last: function() { - return this.eq( -1 ); - }, - - even: function() { - return this.pushStack( jQuery.grep( this, function( _elem, i ) { - return ( i + 1 ) % 2; - } ) ); - }, - - odd: function() { - return this.pushStack( jQuery.grep( this, function( _elem, i ) { - return i % 2; - } ) ); - }, - - eq: function( i ) { - var len = this.length, - j = +i + ( i < 0 ? len : 0 ); - return this.pushStack( j >= 0 && j < len ? [ this[ j ] ] : [] ); - }, - - end: function() { - return this.prevObject || this.constructor(); - }, - - // For internal use only. - // Behaves like an Array's method, not like a jQuery method. - push: push, - sort: arr.sort, - splice: arr.splice -}; - -jQuery.extend = jQuery.fn.extend = function() { - var options, name, src, copy, copyIsArray, clone, - target = arguments[ 0 ] || {}, - i = 1, - length = arguments.length, - deep = false; - - // Handle a deep copy situation - if ( typeof target === "boolean" ) { - deep = target; - - // Skip the boolean and the target - target = arguments[ i ] || {}; - i++; - } - - // Handle case when target is a string or something (possible in deep copy) - if ( typeof target !== "object" && !isFunction( target ) ) { - target = {}; - } - - // Extend jQuery itself if only one argument is passed - if ( i === length ) { - target = this; - i--; - } - - for ( ; i < length; i++ ) { - - // Only deal with non-null/undefined values - if ( ( options = arguments[ i ] ) != null ) { - - // Extend the base object - for ( name in options ) { - copy = options[ name ]; - - // Prevent Object.prototype pollution - // Prevent never-ending loop - if ( name === "__proto__" || target === copy ) { - continue; - } - - // Recurse if we're merging plain objects or arrays - if ( deep && copy && ( jQuery.isPlainObject( copy ) || - ( copyIsArray = Array.isArray( copy ) ) ) ) { - src = target[ name ]; - - // Ensure proper type for the source value - if ( copyIsArray && !Array.isArray( src ) ) { - clone = []; - } else if ( !copyIsArray && !jQuery.isPlainObject( src ) ) { - clone = {}; - } else { - clone = src; - } - copyIsArray = false; - - // Never move original objects, clone them - target[ name ] = jQuery.extend( deep, clone, copy ); - - // Don't bring in undefined values - } else if ( copy !== undefined ) { - target[ name ] = copy; - } - } - } - } - - // Return the modified object - return target; -}; - -jQuery.extend( { - - // Unique for each copy of jQuery on the page - expando: "jQuery" + ( version + Math.random() ).replace( /\D/g, "" ), - - // Assume jQuery is ready without the ready module - isReady: true, - - error: function( msg ) { - throw new Error( msg ); - }, - - noop: function() {}, - - isPlainObject: function( obj ) { - var proto, Ctor; - - // Detect obvious negatives - // Use toString instead of jQuery.type to catch host objects - if ( !obj || toString.call( obj ) !== "[object Object]" ) { - return false; - } - - proto = getProto( obj ); - - // Objects with no prototype (e.g., `Object.create( null )`) are plain - if ( !proto ) { - return true; - } - - // Objects with prototype are plain iff they were constructed by a global Object function - Ctor = hasOwn.call( proto, "constructor" ) && proto.constructor; - return typeof Ctor === "function" && fnToString.call( Ctor ) === ObjectFunctionString; - }, - - isEmptyObject: function( obj ) { - var name; - - for ( name in obj ) { - return false; - } - return true; - }, - - // Evaluates a script in a provided context; falls back to the global one - // if not specified. - globalEval: function( code, options, doc ) { - DOMEval( code, { nonce: options && options.nonce }, doc ); - }, - - each: function( obj, callback ) { - var length, i = 0; - - if ( isArrayLike( obj ) ) { - length = obj.length; - for ( ; i < length; i++ ) { - if ( callback.call( obj[ i ], i, obj[ i ] ) === false ) { - break; - } - } - } else { - for ( i in obj ) { - if ( callback.call( obj[ i ], i, obj[ i ] ) === false ) { - break; - } - } - } - - return obj; - }, - - // results is for internal usage only - makeArray: function( arr, results ) { - var ret = results || []; - - if ( arr != null ) { - if ( isArrayLike( Object( arr ) ) ) { - jQuery.merge( ret, - typeof arr === "string" ? - [ arr ] : arr - ); - } else { - push.call( ret, arr ); - } - } - - return ret; - }, - - inArray: function( elem, arr, i ) { - return arr == null ? -1 : indexOf.call( arr, elem, i ); - }, - - // Support: Android <=4.0 only, PhantomJS 1 only - // push.apply(_, arraylike) throws on ancient WebKit - merge: function( first, second ) { - var len = +second.length, - j = 0, - i = first.length; - - for ( ; j < len; j++ ) { - first[ i++ ] = second[ j ]; - } - - first.length = i; - - return first; - }, - - grep: function( elems, callback, invert ) { - var callbackInverse, - matches = [], - i = 0, - length = elems.length, - callbackExpect = !invert; - - // Go through the array, only saving the items - // that pass the validator function - for ( ; i < length; i++ ) { - callbackInverse = !callback( elems[ i ], i ); - if ( callbackInverse !== callbackExpect ) { - matches.push( elems[ i ] ); - } - } - - return matches; - }, - - // arg is for internal usage only - map: function( elems, callback, arg ) { - var length, value, - i = 0, - ret = []; - - // Go through the array, translating each of the items to their new values - if ( isArrayLike( elems ) ) { - length = elems.length; - for ( ; i < length; i++ ) { - value = callback( elems[ i ], i, arg ); - - if ( value != null ) { - ret.push( value ); - } - } - - // Go through every key on the object, - } else { - for ( i in elems ) { - value = callback( elems[ i ], i, arg ); - - if ( value != null ) { - ret.push( value ); - } - } - } - - // Flatten any nested arrays - return flat( ret ); - }, - - // A global GUID counter for objects - guid: 1, - - // jQuery.support is not used in Core but other projects attach their - // properties to it so it needs to exist. - support: support -} ); - -if ( typeof Symbol === "function" ) { - jQuery.fn[ Symbol.iterator ] = arr[ Symbol.iterator ]; -} - -// Populate the class2type map -jQuery.each( "Boolean Number String Function Array Date RegExp Object Error Symbol".split( " " ), - function( _i, name ) { - class2type[ "[object " + name + "]" ] = name.toLowerCase(); - } ); - -function isArrayLike( obj ) { - - // Support: real iOS 8.2 only (not reproducible in simulator) - // `in` check used to prevent JIT error (gh-2145) - // hasOwn isn't used here due to false negatives - // regarding Nodelist length in IE - var length = !!obj && "length" in obj && obj.length, - type = toType( obj ); - - if ( isFunction( obj ) || isWindow( obj ) ) { - return false; - } - - return type === "array" || length === 0 || - typeof length === "number" && length > 0 && ( length - 1 ) in obj; -} -var Sizzle = -/*! - * Sizzle CSS Selector Engine v2.3.6 - * https://sizzlejs.com/ - * - * Copyright JS Foundation and other contributors - * Released under the MIT license - * https://js.foundation/ - * - * Date: 2021-02-16 - */ -( function( window ) { -var i, - support, - Expr, - getText, - isXML, - tokenize, - compile, - select, - outermostContext, - sortInput, - hasDuplicate, - - // Local document vars - setDocument, - document, - docElem, - documentIsHTML, - rbuggyQSA, - rbuggyMatches, - matches, - contains, - - // Instance-specific data - expando = "sizzle" + 1 * new Date(), - preferredDoc = window.document, - dirruns = 0, - done = 0, - classCache = createCache(), - tokenCache = createCache(), - compilerCache = createCache(), - nonnativeSelectorCache = createCache(), - sortOrder = function( a, b ) { - if ( a === b ) { - hasDuplicate = true; - } - return 0; - }, - - // Instance methods - hasOwn = ( {} ).hasOwnProperty, - arr = [], - pop = arr.pop, - pushNative = arr.push, - push = arr.push, - slice = arr.slice, - - // Use a stripped-down indexOf as it's faster than native - // https://jsperf.com/thor-indexof-vs-for/5 - indexOf = function( list, elem ) { - var i = 0, - len = list.length; - for ( ; i < len; i++ ) { - if ( list[ i ] === elem ) { - return i; - } - } - return -1; - }, - - booleans = "checked|selected|async|autofocus|autoplay|controls|defer|disabled|hidden|" + - "ismap|loop|multiple|open|readonly|required|scoped", - - // Regular expressions - - // http://www.w3.org/TR/css3-selectors/#whitespace - whitespace = "[\\x20\\t\\r\\n\\f]", - - // https://www.w3.org/TR/css-syntax-3/#ident-token-diagram - identifier = "(?:\\\\[\\da-fA-F]{1,6}" + whitespace + - "?|\\\\[^\\r\\n\\f]|[\\w-]|[^\0-\\x7f])+", - - // Attribute selectors: http://www.w3.org/TR/selectors/#attribute-selectors - attributes = "\\[" + whitespace + "*(" + identifier + ")(?:" + whitespace + - - // Operator (capture 2) - "*([*^$|!~]?=)" + whitespace + - - // "Attribute values must be CSS identifiers [capture 5] - // or strings [capture 3 or capture 4]" - "*(?:'((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\"|(" + identifier + "))|)" + - whitespace + "*\\]", - - pseudos = ":(" + identifier + ")(?:\\((" + - - // To reduce the number of selectors needing tokenize in the preFilter, prefer arguments: - // 1. quoted (capture 3; capture 4 or capture 5) - "('((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\")|" + - - // 2. simple (capture 6) - "((?:\\\\.|[^\\\\()[\\]]|" + attributes + ")*)|" + - - // 3. anything else (capture 2) - ".*" + - ")\\)|)", - - // Leading and non-escaped trailing whitespace, capturing some non-whitespace characters preceding the latter - rwhitespace = new RegExp( whitespace + "+", "g" ), - rtrim = new RegExp( "^" + whitespace + "+|((?:^|[^\\\\])(?:\\\\.)*)" + - whitespace + "+$", "g" ), - - rcomma = new RegExp( "^" + whitespace + "*," + whitespace + "*" ), - rcombinators = new RegExp( "^" + whitespace + "*([>+~]|" + whitespace + ")" + whitespace + - "*" ), - rdescend = new RegExp( whitespace + "|>" ), - - rpseudo = new RegExp( pseudos ), - ridentifier = new RegExp( "^" + identifier + "$" ), - - matchExpr = { - "ID": new RegExp( "^#(" + identifier + ")" ), - "CLASS": new RegExp( "^\\.(" + identifier + ")" ), - "TAG": new RegExp( "^(" + identifier + "|[*])" ), - "ATTR": new RegExp( "^" + attributes ), - "PSEUDO": new RegExp( "^" + pseudos ), - "CHILD": new RegExp( "^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\(" + - whitespace + "*(even|odd|(([+-]|)(\\d*)n|)" + whitespace + "*(?:([+-]|)" + - whitespace + "*(\\d+)|))" + whitespace + "*\\)|)", "i" ), - "bool": new RegExp( "^(?:" + booleans + ")$", "i" ), - - // For use in libraries implementing .is() - // We use this for POS matching in `select` - "needsContext": new RegExp( "^" + whitespace + - "*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\(" + whitespace + - "*((?:-\\d)?\\d*)" + whitespace + "*\\)|)(?=[^-]|$)", "i" ) - }, - - rhtml = /HTML$/i, - rinputs = /^(?:input|select|textarea|button)$/i, - rheader = /^h\d$/i, - - rnative = /^[^{]+\{\s*\[native \w/, - - // Easily-parseable/retrievable ID or TAG or CLASS selectors - rquickExpr = /^(?:#([\w-]+)|(\w+)|\.([\w-]+))$/, - - rsibling = /[+~]/, - - // CSS escapes - // http://www.w3.org/TR/CSS21/syndata.html#escaped-characters - runescape = new RegExp( "\\\\[\\da-fA-F]{1,6}" + whitespace + "?|\\\\([^\\r\\n\\f])", "g" ), - funescape = function( escape, nonHex ) { - var high = "0x" + escape.slice( 1 ) - 0x10000; - - return nonHex ? - - // Strip the backslash prefix from a non-hex escape sequence - nonHex : - - // Replace a hexadecimal escape sequence with the encoded Unicode code point - // Support: IE <=11+ - // For values outside the Basic Multilingual Plane (BMP), manually construct a - // surrogate pair - high < 0 ? - String.fromCharCode( high + 0x10000 ) : - String.fromCharCode( high >> 10 | 0xD800, high & 0x3FF | 0xDC00 ); - }, - - // CSS string/identifier serialization - // https://drafts.csswg.org/cssom/#common-serializing-idioms - rcssescape = /([\0-\x1f\x7f]|^-?\d)|^-$|[^\0-\x1f\x7f-\uFFFF\w-]/g, - fcssescape = function( ch, asCodePoint ) { - if ( asCodePoint ) { - - // U+0000 NULL becomes U+FFFD REPLACEMENT CHARACTER - if ( ch === "\0" ) { - return "\uFFFD"; - } - - // Control characters and (dependent upon position) numbers get escaped as code points - return ch.slice( 0, -1 ) + "\\" + - ch.charCodeAt( ch.length - 1 ).toString( 16 ) + " "; - } - - // Other potentially-special ASCII characters get backslash-escaped - return "\\" + ch; - }, - - // Used for iframes - // See setDocument() - // Removing the function wrapper causes a "Permission Denied" - // error in IE - unloadHandler = function() { - setDocument(); - }, - - inDisabledFieldset = addCombinator( - function( elem ) { - return elem.disabled === true && elem.nodeName.toLowerCase() === "fieldset"; - }, - { dir: "parentNode", next: "legend" } - ); - -// Optimize for push.apply( _, NodeList ) -try { - push.apply( - ( arr = slice.call( preferredDoc.childNodes ) ), - preferredDoc.childNodes - ); - - // Support: Android<4.0 - // Detect silently failing push.apply - // eslint-disable-next-line no-unused-expressions - arr[ preferredDoc.childNodes.length ].nodeType; -} catch ( e ) { - push = { apply: arr.length ? - - // Leverage slice if possible - function( target, els ) { - pushNative.apply( target, slice.call( els ) ); - } : - - // Support: IE<9 - // Otherwise append directly - function( target, els ) { - var j = target.length, - i = 0; - - // Can't trust NodeList.length - while ( ( target[ j++ ] = els[ i++ ] ) ) {} - target.length = j - 1; - } - }; -} - -function Sizzle( selector, context, results, seed ) { - var m, i, elem, nid, match, groups, newSelector, - newContext = context && context.ownerDocument, - - // nodeType defaults to 9, since context defaults to document - nodeType = context ? context.nodeType : 9; - - results = results || []; - - // Return early from calls with invalid selector or context - if ( typeof selector !== "string" || !selector || - nodeType !== 1 && nodeType !== 9 && nodeType !== 11 ) { - - return results; - } - - // Try to shortcut find operations (as opposed to filters) in HTML documents - if ( !seed ) { - setDocument( context ); - context = context || document; - - if ( documentIsHTML ) { - - // If the selector is sufficiently simple, try using a "get*By*" DOM method - // (excepting DocumentFragment context, where the methods don't exist) - if ( nodeType !== 11 && ( match = rquickExpr.exec( selector ) ) ) { - - // ID selector - if ( ( m = match[ 1 ] ) ) { - - // Document context - if ( nodeType === 9 ) { - if ( ( elem = context.getElementById( m ) ) ) { - - // Support: IE, Opera, Webkit - // TODO: identify versions - // getElementById can match elements by name instead of ID - if ( elem.id === m ) { - results.push( elem ); - return results; - } - } else { - return results; - } - - // Element context - } else { - - // Support: IE, Opera, Webkit - // TODO: identify versions - // getElementById can match elements by name instead of ID - if ( newContext && ( elem = newContext.getElementById( m ) ) && - contains( context, elem ) && - elem.id === m ) { - - results.push( elem ); - return results; - } - } - - // Type selector - } else if ( match[ 2 ] ) { - push.apply( results, context.getElementsByTagName( selector ) ); - return results; - - // Class selector - } else if ( ( m = match[ 3 ] ) && support.getElementsByClassName && - context.getElementsByClassName ) { - - push.apply( results, context.getElementsByClassName( m ) ); - return results; - } - } - - // Take advantage of querySelectorAll - if ( support.qsa && - !nonnativeSelectorCache[ selector + " " ] && - ( !rbuggyQSA || !rbuggyQSA.test( selector ) ) && - - // Support: IE 8 only - // Exclude object elements - ( nodeType !== 1 || context.nodeName.toLowerCase() !== "object" ) ) { - - newSelector = selector; - newContext = context; - - // qSA considers elements outside a scoping root when evaluating child or - // descendant combinators, which is not what we want. - // In such cases, we work around the behavior by prefixing every selector in the - // list with an ID selector referencing the scope context. - // The technique has to be used as well when a leading combinator is used - // as such selectors are not recognized by querySelectorAll. - // Thanks to Andrew Dupont for this technique. - if ( nodeType === 1 && - ( rdescend.test( selector ) || rcombinators.test( selector ) ) ) { - - // Expand context for sibling selectors - newContext = rsibling.test( selector ) && testContext( context.parentNode ) || - context; - - // We can use :scope instead of the ID hack if the browser - // supports it & if we're not changing the context. - if ( newContext !== context || !support.scope ) { - - // Capture the context ID, setting it first if necessary - if ( ( nid = context.getAttribute( "id" ) ) ) { - nid = nid.replace( rcssescape, fcssescape ); - } else { - context.setAttribute( "id", ( nid = expando ) ); - } - } - - // Prefix every selector in the list - groups = tokenize( selector ); - i = groups.length; - while ( i-- ) { - groups[ i ] = ( nid ? "#" + nid : ":scope" ) + " " + - toSelector( groups[ i ] ); - } - newSelector = groups.join( "," ); - } - - try { - push.apply( results, - newContext.querySelectorAll( newSelector ) - ); - return results; - } catch ( qsaError ) { - nonnativeSelectorCache( selector, true ); - } finally { - if ( nid === expando ) { - context.removeAttribute( "id" ); - } - } - } - } - } - - // All others - return select( selector.replace( rtrim, "$1" ), context, results, seed ); -} - -/** - * Create key-value caches of limited size - * @returns {function(string, object)} Returns the Object data after storing it on itself with - * property name the (space-suffixed) string and (if the cache is larger than Expr.cacheLength) - * deleting the oldest entry - */ -function createCache() { - var keys = []; - - function cache( key, value ) { - - // Use (key + " ") to avoid collision with native prototype properties (see Issue #157) - if ( keys.push( key + " " ) > Expr.cacheLength ) { - - // Only keep the most recent entries - delete cache[ keys.shift() ]; - } - return ( cache[ key + " " ] = value ); - } - return cache; -} - -/** - * Mark a function for special use by Sizzle - * @param {Function} fn The function to mark - */ -function markFunction( fn ) { - fn[ expando ] = true; - return fn; -} - -/** - * Support testing using an element - * @param {Function} fn Passed the created element and returns a boolean result - */ -function assert( fn ) { - var el = document.createElement( "fieldset" ); - - try { - return !!fn( el ); - } catch ( e ) { - return false; - } finally { - - // Remove from its parent by default - if ( el.parentNode ) { - el.parentNode.removeChild( el ); - } - - // release memory in IE - el = null; - } -} - -/** - * Adds the same handler for all of the specified attrs - * @param {String} attrs Pipe-separated list of attributes - * @param {Function} handler The method that will be applied - */ -function addHandle( attrs, handler ) { - var arr = attrs.split( "|" ), - i = arr.length; - - while ( i-- ) { - Expr.attrHandle[ arr[ i ] ] = handler; - } -} - -/** - * Checks document order of two siblings - * @param {Element} a - * @param {Element} b - * @returns {Number} Returns less than 0 if a precedes b, greater than 0 if a follows b - */ -function siblingCheck( a, b ) { - var cur = b && a, - diff = cur && a.nodeType === 1 && b.nodeType === 1 && - a.sourceIndex - b.sourceIndex; - - // Use IE sourceIndex if available on both nodes - if ( diff ) { - return diff; - } - - // Check if b follows a - if ( cur ) { - while ( ( cur = cur.nextSibling ) ) { - if ( cur === b ) { - return -1; - } - } - } - - return a ? 1 : -1; -} - -/** - * Returns a function to use in pseudos for input types - * @param {String} type - */ -function createInputPseudo( type ) { - return function( elem ) { - var name = elem.nodeName.toLowerCase(); - return name === "input" && elem.type === type; - }; -} - -/** - * Returns a function to use in pseudos for buttons - * @param {String} type - */ -function createButtonPseudo( type ) { - return function( elem ) { - var name = elem.nodeName.toLowerCase(); - return ( name === "input" || name === "button" ) && elem.type === type; - }; -} - -/** - * Returns a function to use in pseudos for :enabled/:disabled - * @param {Boolean} disabled true for :disabled; false for :enabled - */ -function createDisabledPseudo( disabled ) { - - // Known :disabled false positives: fieldset[disabled] > legend:nth-of-type(n+2) :can-disable - return function( elem ) { - - // Only certain elements can match :enabled or :disabled - // https://html.spec.whatwg.org/multipage/scripting.html#selector-enabled - // https://html.spec.whatwg.org/multipage/scripting.html#selector-disabled - if ( "form" in elem ) { - - // Check for inherited disabledness on relevant non-disabled elements: - // * listed form-associated elements in a disabled fieldset - // https://html.spec.whatwg.org/multipage/forms.html#category-listed - // https://html.spec.whatwg.org/multipage/forms.html#concept-fe-disabled - // * option elements in a disabled optgroup - // https://html.spec.whatwg.org/multipage/forms.html#concept-option-disabled - // All such elements have a "form" property. - if ( elem.parentNode && elem.disabled === false ) { - - // Option elements defer to a parent optgroup if present - if ( "label" in elem ) { - if ( "label" in elem.parentNode ) { - return elem.parentNode.disabled === disabled; - } else { - return elem.disabled === disabled; - } - } - - // Support: IE 6 - 11 - // Use the isDisabled shortcut property to check for disabled fieldset ancestors - return elem.isDisabled === disabled || - - // Where there is no isDisabled, check manually - /* jshint -W018 */ - elem.isDisabled !== !disabled && - inDisabledFieldset( elem ) === disabled; - } - - return elem.disabled === disabled; - - // Try to winnow out elements that can't be disabled before trusting the disabled property. - // Some victims get caught in our net (label, legend, menu, track), but it shouldn't - // even exist on them, let alone have a boolean value. - } else if ( "label" in elem ) { - return elem.disabled === disabled; - } - - // Remaining elements are neither :enabled nor :disabled - return false; - }; -} - -/** - * Returns a function to use in pseudos for positionals - * @param {Function} fn - */ -function createPositionalPseudo( fn ) { - return markFunction( function( argument ) { - argument = +argument; - return markFunction( function( seed, matches ) { - var j, - matchIndexes = fn( [], seed.length, argument ), - i = matchIndexes.length; - - // Match elements found at the specified indexes - while ( i-- ) { - if ( seed[ ( j = matchIndexes[ i ] ) ] ) { - seed[ j ] = !( matches[ j ] = seed[ j ] ); - } - } - } ); - } ); -} - -/** - * Checks a node for validity as a Sizzle context - * @param {Element|Object=} context - * @returns {Element|Object|Boolean} The input node if acceptable, otherwise a falsy value - */ -function testContext( context ) { - return context && typeof context.getElementsByTagName !== "undefined" && context; -} - -// Expose support vars for convenience -support = Sizzle.support = {}; - -/** - * Detects XML nodes - * @param {Element|Object} elem An element or a document - * @returns {Boolean} True iff elem is a non-HTML XML node - */ -isXML = Sizzle.isXML = function( elem ) { - var namespace = elem && elem.namespaceURI, - docElem = elem && ( elem.ownerDocument || elem ).documentElement; - - // Support: IE <=8 - // Assume HTML when documentElement doesn't yet exist, such as inside loading iframes - // https://bugs.jquery.com/ticket/4833 - return !rhtml.test( namespace || docElem && docElem.nodeName || "HTML" ); -}; - -/** - * Sets document-related variables once based on the current document - * @param {Element|Object} [doc] An element or document object to use to set the document - * @returns {Object} Returns the current document - */ -setDocument = Sizzle.setDocument = function( node ) { - var hasCompare, subWindow, - doc = node ? node.ownerDocument || node : preferredDoc; - - // Return early if doc is invalid or already selected - // Support: IE 11+, Edge 17 - 18+ - // IE/Edge sometimes throw a "Permission denied" error when strict-comparing - // two documents; shallow comparisons work. - // eslint-disable-next-line eqeqeq - if ( doc == document || doc.nodeType !== 9 || !doc.documentElement ) { - return document; - } - - // Update global variables - document = doc; - docElem = document.documentElement; - documentIsHTML = !isXML( document ); - - // Support: IE 9 - 11+, Edge 12 - 18+ - // Accessing iframe documents after unload throws "permission denied" errors (jQuery #13936) - // Support: IE 11+, Edge 17 - 18+ - // IE/Edge sometimes throw a "Permission denied" error when strict-comparing - // two documents; shallow comparisons work. - // eslint-disable-next-line eqeqeq - if ( preferredDoc != document && - ( subWindow = document.defaultView ) && subWindow.top !== subWindow ) { - - // Support: IE 11, Edge - if ( subWindow.addEventListener ) { - subWindow.addEventListener( "unload", unloadHandler, false ); - - // Support: IE 9 - 10 only - } else if ( subWindow.attachEvent ) { - subWindow.attachEvent( "onunload", unloadHandler ); - } - } - - // Support: IE 8 - 11+, Edge 12 - 18+, Chrome <=16 - 25 only, Firefox <=3.6 - 31 only, - // Safari 4 - 5 only, Opera <=11.6 - 12.x only - // IE/Edge & older browsers don't support the :scope pseudo-class. - // Support: Safari 6.0 only - // Safari 6.0 supports :scope but it's an alias of :root there. - support.scope = assert( function( el ) { - docElem.appendChild( el ).appendChild( document.createElement( "div" ) ); - return typeof el.querySelectorAll !== "undefined" && - !el.querySelectorAll( ":scope fieldset div" ).length; - } ); - - /* Attributes - ---------------------------------------------------------------------- */ - - // Support: IE<8 - // Verify that getAttribute really returns attributes and not properties - // (excepting IE8 booleans) - support.attributes = assert( function( el ) { - el.className = "i"; - return !el.getAttribute( "className" ); - } ); - - /* getElement(s)By* - ---------------------------------------------------------------------- */ - - // Check if getElementsByTagName("*") returns only elements - support.getElementsByTagName = assert( function( el ) { - el.appendChild( document.createComment( "" ) ); - return !el.getElementsByTagName( "*" ).length; - } ); - - // Support: IE<9 - support.getElementsByClassName = rnative.test( document.getElementsByClassName ); - - // Support: IE<10 - // Check if getElementById returns elements by name - // The broken getElementById methods don't pick up programmatically-set names, - // so use a roundabout getElementsByName test - support.getById = assert( function( el ) { - docElem.appendChild( el ).id = expando; - return !document.getElementsByName || !document.getElementsByName( expando ).length; - } ); - - // ID filter and find - if ( support.getById ) { - Expr.filter[ "ID" ] = function( id ) { - var attrId = id.replace( runescape, funescape ); - return function( elem ) { - return elem.getAttribute( "id" ) === attrId; - }; - }; - Expr.find[ "ID" ] = function( id, context ) { - if ( typeof context.getElementById !== "undefined" && documentIsHTML ) { - var elem = context.getElementById( id ); - return elem ? [ elem ] : []; - } - }; - } else { - Expr.filter[ "ID" ] = function( id ) { - var attrId = id.replace( runescape, funescape ); - return function( elem ) { - var node = typeof elem.getAttributeNode !== "undefined" && - elem.getAttributeNode( "id" ); - return node && node.value === attrId; - }; - }; - - // Support: IE 6 - 7 only - // getElementById is not reliable as a find shortcut - Expr.find[ "ID" ] = function( id, context ) { - if ( typeof context.getElementById !== "undefined" && documentIsHTML ) { - var node, i, elems, - elem = context.getElementById( id ); - - if ( elem ) { - - // Verify the id attribute - node = elem.getAttributeNode( "id" ); - if ( node && node.value === id ) { - return [ elem ]; - } - - // Fall back on getElementsByName - elems = context.getElementsByName( id ); - i = 0; - while ( ( elem = elems[ i++ ] ) ) { - node = elem.getAttributeNode( "id" ); - if ( node && node.value === id ) { - return [ elem ]; - } - } - } - - return []; - } - }; - } - - // Tag - Expr.find[ "TAG" ] = support.getElementsByTagName ? - function( tag, context ) { - if ( typeof context.getElementsByTagName !== "undefined" ) { - return context.getElementsByTagName( tag ); - - // DocumentFragment nodes don't have gEBTN - } else if ( support.qsa ) { - return context.querySelectorAll( tag ); - } - } : - - function( tag, context ) { - var elem, - tmp = [], - i = 0, - - // By happy coincidence, a (broken) gEBTN appears on DocumentFragment nodes too - results = context.getElementsByTagName( tag ); - - // Filter out possible comments - if ( tag === "*" ) { - while ( ( elem = results[ i++ ] ) ) { - if ( elem.nodeType === 1 ) { - tmp.push( elem ); - } - } - - return tmp; - } - return results; - }; - - // Class - Expr.find[ "CLASS" ] = support.getElementsByClassName && function( className, context ) { - if ( typeof context.getElementsByClassName !== "undefined" && documentIsHTML ) { - return context.getElementsByClassName( className ); - } - }; - - /* QSA/matchesSelector - ---------------------------------------------------------------------- */ - - // QSA and matchesSelector support - - // matchesSelector(:active) reports false when true (IE9/Opera 11.5) - rbuggyMatches = []; - - // qSa(:focus) reports false when true (Chrome 21) - // We allow this because of a bug in IE8/9 that throws an error - // whenever `document.activeElement` is accessed on an iframe - // So, we allow :focus to pass through QSA all the time to avoid the IE error - // See https://bugs.jquery.com/ticket/13378 - rbuggyQSA = []; - - if ( ( support.qsa = rnative.test( document.querySelectorAll ) ) ) { - - // Build QSA regex - // Regex strategy adopted from Diego Perini - assert( function( el ) { - - var input; - - // Select is set to empty string on purpose - // This is to test IE's treatment of not explicitly - // setting a boolean content attribute, - // since its presence should be enough - // https://bugs.jquery.com/ticket/12359 - docElem.appendChild( el ).innerHTML = "" + - ""; - - // Support: IE8, Opera 11-12.16 - // Nothing should be selected when empty strings follow ^= or $= or *= - // The test attribute must be unknown in Opera but "safe" for WinRT - // https://msdn.microsoft.com/en-us/library/ie/hh465388.aspx#attribute_section - if ( el.querySelectorAll( "[msallowcapture^='']" ).length ) { - rbuggyQSA.push( "[*^$]=" + whitespace + "*(?:''|\"\")" ); - } - - // Support: IE8 - // Boolean attributes and "value" are not treated correctly - if ( !el.querySelectorAll( "[selected]" ).length ) { - rbuggyQSA.push( "\\[" + whitespace + "*(?:value|" + booleans + ")" ); - } - - // Support: Chrome<29, Android<4.4, Safari<7.0+, iOS<7.0+, PhantomJS<1.9.8+ - if ( !el.querySelectorAll( "[id~=" + expando + "-]" ).length ) { - rbuggyQSA.push( "~=" ); - } - - // Support: IE 11+, Edge 15 - 18+ - // IE 11/Edge don't find elements on a `[name='']` query in some cases. - // Adding a temporary attribute to the document before the selection works - // around the issue. - // Interestingly, IE 10 & older don't seem to have the issue. - input = document.createElement( "input" ); - input.setAttribute( "name", "" ); - el.appendChild( input ); - if ( !el.querySelectorAll( "[name='']" ).length ) { - rbuggyQSA.push( "\\[" + whitespace + "*name" + whitespace + "*=" + - whitespace + "*(?:''|\"\")" ); - } - - // Webkit/Opera - :checked should return selected option elements - // http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked - // IE8 throws error here and will not see later tests - if ( !el.querySelectorAll( ":checked" ).length ) { - rbuggyQSA.push( ":checked" ); - } - - // Support: Safari 8+, iOS 8+ - // https://bugs.webkit.org/show_bug.cgi?id=136851 - // In-page `selector#id sibling-combinator selector` fails - if ( !el.querySelectorAll( "a#" + expando + "+*" ).length ) { - rbuggyQSA.push( ".#.+[+~]" ); - } - - // Support: Firefox <=3.6 - 5 only - // Old Firefox doesn't throw on a badly-escaped identifier. - el.querySelectorAll( "\\\f" ); - rbuggyQSA.push( "[\\r\\n\\f]" ); - } ); - - assert( function( el ) { - el.innerHTML = "" + - ""; - - // Support: Windows 8 Native Apps - // The type and name attributes are restricted during .innerHTML assignment - var input = document.createElement( "input" ); - input.setAttribute( "type", "hidden" ); - el.appendChild( input ).setAttribute( "name", "D" ); - - // Support: IE8 - // Enforce case-sensitivity of name attribute - if ( el.querySelectorAll( "[name=d]" ).length ) { - rbuggyQSA.push( "name" + whitespace + "*[*^$|!~]?=" ); - } - - // FF 3.5 - :enabled/:disabled and hidden elements (hidden elements are still enabled) - // IE8 throws error here and will not see later tests - if ( el.querySelectorAll( ":enabled" ).length !== 2 ) { - rbuggyQSA.push( ":enabled", ":disabled" ); - } - - // Support: IE9-11+ - // IE's :disabled selector does not pick up the children of disabled fieldsets - docElem.appendChild( el ).disabled = true; - if ( el.querySelectorAll( ":disabled" ).length !== 2 ) { - rbuggyQSA.push( ":enabled", ":disabled" ); - } - - // Support: Opera 10 - 11 only - // Opera 10-11 does not throw on post-comma invalid pseudos - el.querySelectorAll( "*,:x" ); - rbuggyQSA.push( ",.*:" ); - } ); - } - - if ( ( support.matchesSelector = rnative.test( ( matches = docElem.matches || - docElem.webkitMatchesSelector || - docElem.mozMatchesSelector || - docElem.oMatchesSelector || - docElem.msMatchesSelector ) ) ) ) { - - assert( function( el ) { - - // Check to see if it's possible to do matchesSelector - // on a disconnected node (IE 9) - support.disconnectedMatch = matches.call( el, "*" ); - - // This should fail with an exception - // Gecko does not error, returns false instead - matches.call( el, "[s!='']:x" ); - rbuggyMatches.push( "!=", pseudos ); - } ); - } - - rbuggyQSA = rbuggyQSA.length && new RegExp( rbuggyQSA.join( "|" ) ); - rbuggyMatches = rbuggyMatches.length && new RegExp( rbuggyMatches.join( "|" ) ); - - /* Contains - ---------------------------------------------------------------------- */ - hasCompare = rnative.test( docElem.compareDocumentPosition ); - - // Element contains another - // Purposefully self-exclusive - // As in, an element does not contain itself - contains = hasCompare || rnative.test( docElem.contains ) ? - function( a, b ) { - var adown = a.nodeType === 9 ? a.documentElement : a, - bup = b && b.parentNode; - return a === bup || !!( bup && bup.nodeType === 1 && ( - adown.contains ? - adown.contains( bup ) : - a.compareDocumentPosition && a.compareDocumentPosition( bup ) & 16 - ) ); - } : - function( a, b ) { - if ( b ) { - while ( ( b = b.parentNode ) ) { - if ( b === a ) { - return true; - } - } - } - return false; - }; - - /* Sorting - ---------------------------------------------------------------------- */ - - // Document order sorting - sortOrder = hasCompare ? - function( a, b ) { - - // Flag for duplicate removal - if ( a === b ) { - hasDuplicate = true; - return 0; - } - - // Sort on method existence if only one input has compareDocumentPosition - var compare = !a.compareDocumentPosition - !b.compareDocumentPosition; - if ( compare ) { - return compare; - } - - // Calculate position if both inputs belong to the same document - // Support: IE 11+, Edge 17 - 18+ - // IE/Edge sometimes throw a "Permission denied" error when strict-comparing - // two documents; shallow comparisons work. - // eslint-disable-next-line eqeqeq - compare = ( a.ownerDocument || a ) == ( b.ownerDocument || b ) ? - a.compareDocumentPosition( b ) : - - // Otherwise we know they are disconnected - 1; - - // Disconnected nodes - if ( compare & 1 || - ( !support.sortDetached && b.compareDocumentPosition( a ) === compare ) ) { - - // Choose the first element that is related to our preferred document - // Support: IE 11+, Edge 17 - 18+ - // IE/Edge sometimes throw a "Permission denied" error when strict-comparing - // two documents; shallow comparisons work. - // eslint-disable-next-line eqeqeq - if ( a == document || a.ownerDocument == preferredDoc && - contains( preferredDoc, a ) ) { - return -1; - } - - // Support: IE 11+, Edge 17 - 18+ - // IE/Edge sometimes throw a "Permission denied" error when strict-comparing - // two documents; shallow comparisons work. - // eslint-disable-next-line eqeqeq - if ( b == document || b.ownerDocument == preferredDoc && - contains( preferredDoc, b ) ) { - return 1; - } - - // Maintain original order - return sortInput ? - ( indexOf( sortInput, a ) - indexOf( sortInput, b ) ) : - 0; - } - - return compare & 4 ? -1 : 1; - } : - function( a, b ) { - - // Exit early if the nodes are identical - if ( a === b ) { - hasDuplicate = true; - return 0; - } - - var cur, - i = 0, - aup = a.parentNode, - bup = b.parentNode, - ap = [ a ], - bp = [ b ]; - - // Parentless nodes are either documents or disconnected - if ( !aup || !bup ) { - - // Support: IE 11+, Edge 17 - 18+ - // IE/Edge sometimes throw a "Permission denied" error when strict-comparing - // two documents; shallow comparisons work. - /* eslint-disable eqeqeq */ - return a == document ? -1 : - b == document ? 1 : - /* eslint-enable eqeqeq */ - aup ? -1 : - bup ? 1 : - sortInput ? - ( indexOf( sortInput, a ) - indexOf( sortInput, b ) ) : - 0; - - // If the nodes are siblings, we can do a quick check - } else if ( aup === bup ) { - return siblingCheck( a, b ); - } - - // Otherwise we need full lists of their ancestors for comparison - cur = a; - while ( ( cur = cur.parentNode ) ) { - ap.unshift( cur ); - } - cur = b; - while ( ( cur = cur.parentNode ) ) { - bp.unshift( cur ); - } - - // Walk down the tree looking for a discrepancy - while ( ap[ i ] === bp[ i ] ) { - i++; - } - - return i ? - - // Do a sibling check if the nodes have a common ancestor - siblingCheck( ap[ i ], bp[ i ] ) : - - // Otherwise nodes in our document sort first - // Support: IE 11+, Edge 17 - 18+ - // IE/Edge sometimes throw a "Permission denied" error when strict-comparing - // two documents; shallow comparisons work. - /* eslint-disable eqeqeq */ - ap[ i ] == preferredDoc ? -1 : - bp[ i ] == preferredDoc ? 1 : - /* eslint-enable eqeqeq */ - 0; - }; - - return document; -}; - -Sizzle.matches = function( expr, elements ) { - return Sizzle( expr, null, null, elements ); -}; - -Sizzle.matchesSelector = function( elem, expr ) { - setDocument( elem ); - - if ( support.matchesSelector && documentIsHTML && - !nonnativeSelectorCache[ expr + " " ] && - ( !rbuggyMatches || !rbuggyMatches.test( expr ) ) && - ( !rbuggyQSA || !rbuggyQSA.test( expr ) ) ) { - - try { - var ret = matches.call( elem, expr ); - - // IE 9's matchesSelector returns false on disconnected nodes - if ( ret || support.disconnectedMatch || - - // As well, disconnected nodes are said to be in a document - // fragment in IE 9 - elem.document && elem.document.nodeType !== 11 ) { - return ret; - } - } catch ( e ) { - nonnativeSelectorCache( expr, true ); - } - } - - return Sizzle( expr, document, null, [ elem ] ).length > 0; -}; - -Sizzle.contains = function( context, elem ) { - - // Set document vars if needed - // Support: IE 11+, Edge 17 - 18+ - // IE/Edge sometimes throw a "Permission denied" error when strict-comparing - // two documents; shallow comparisons work. - // eslint-disable-next-line eqeqeq - if ( ( context.ownerDocument || context ) != document ) { - setDocument( context ); - } - return contains( context, elem ); -}; - -Sizzle.attr = function( elem, name ) { - - // Set document vars if needed - // Support: IE 11+, Edge 17 - 18+ - // IE/Edge sometimes throw a "Permission denied" error when strict-comparing - // two documents; shallow comparisons work. - // eslint-disable-next-line eqeqeq - if ( ( elem.ownerDocument || elem ) != document ) { - setDocument( elem ); - } - - var fn = Expr.attrHandle[ name.toLowerCase() ], - - // Don't get fooled by Object.prototype properties (jQuery #13807) - val = fn && hasOwn.call( Expr.attrHandle, name.toLowerCase() ) ? - fn( elem, name, !documentIsHTML ) : - undefined; - - return val !== undefined ? - val : - support.attributes || !documentIsHTML ? - elem.getAttribute( name ) : - ( val = elem.getAttributeNode( name ) ) && val.specified ? - val.value : - null; -}; - -Sizzle.escape = function( sel ) { - return ( sel + "" ).replace( rcssescape, fcssescape ); -}; - -Sizzle.error = function( msg ) { - throw new Error( "Syntax error, unrecognized expression: " + msg ); -}; - -/** - * Document sorting and removing duplicates - * @param {ArrayLike} results - */ -Sizzle.uniqueSort = function( results ) { - var elem, - duplicates = [], - j = 0, - i = 0; - - // Unless we *know* we can detect duplicates, assume their presence - hasDuplicate = !support.detectDuplicates; - sortInput = !support.sortStable && results.slice( 0 ); - results.sort( sortOrder ); - - if ( hasDuplicate ) { - while ( ( elem = results[ i++ ] ) ) { - if ( elem === results[ i ] ) { - j = duplicates.push( i ); - } - } - while ( j-- ) { - results.splice( duplicates[ j ], 1 ); - } - } - - // Clear input after sorting to release objects - // See https://github.com/jquery/sizzle/pull/225 - sortInput = null; - - return results; -}; - -/** - * Utility function for retrieving the text value of an array of DOM nodes - * @param {Array|Element} elem - */ -getText = Sizzle.getText = function( elem ) { - var node, - ret = "", - i = 0, - nodeType = elem.nodeType; - - if ( !nodeType ) { - - // If no nodeType, this is expected to be an array - while ( ( node = elem[ i++ ] ) ) { - - // Do not traverse comment nodes - ret += getText( node ); - } - } else if ( nodeType === 1 || nodeType === 9 || nodeType === 11 ) { - - // Use textContent for elements - // innerText usage removed for consistency of new lines (jQuery #11153) - if ( typeof elem.textContent === "string" ) { - return elem.textContent; - } else { - - // Traverse its children - for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) { - ret += getText( elem ); - } - } - } else if ( nodeType === 3 || nodeType === 4 ) { - return elem.nodeValue; - } - - // Do not include comment or processing instruction nodes - - return ret; -}; - -Expr = Sizzle.selectors = { - - // Can be adjusted by the user - cacheLength: 50, - - createPseudo: markFunction, - - match: matchExpr, - - attrHandle: {}, - - find: {}, - - relative: { - ">": { dir: "parentNode", first: true }, - " ": { dir: "parentNode" }, - "+": { dir: "previousSibling", first: true }, - "~": { dir: "previousSibling" } - }, - - preFilter: { - "ATTR": function( match ) { - match[ 1 ] = match[ 1 ].replace( runescape, funescape ); - - // Move the given value to match[3] whether quoted or unquoted - match[ 3 ] = ( match[ 3 ] || match[ 4 ] || - match[ 5 ] || "" ).replace( runescape, funescape ); - - if ( match[ 2 ] === "~=" ) { - match[ 3 ] = " " + match[ 3 ] + " "; - } - - return match.slice( 0, 4 ); - }, - - "CHILD": function( match ) { - - /* matches from matchExpr["CHILD"] - 1 type (only|nth|...) - 2 what (child|of-type) - 3 argument (even|odd|\d*|\d*n([+-]\d+)?|...) - 4 xn-component of xn+y argument ([+-]?\d*n|) - 5 sign of xn-component - 6 x of xn-component - 7 sign of y-component - 8 y of y-component - */ - match[ 1 ] = match[ 1 ].toLowerCase(); - - if ( match[ 1 ].slice( 0, 3 ) === "nth" ) { - - // nth-* requires argument - if ( !match[ 3 ] ) { - Sizzle.error( match[ 0 ] ); - } - - // numeric x and y parameters for Expr.filter.CHILD - // remember that false/true cast respectively to 0/1 - match[ 4 ] = +( match[ 4 ] ? - match[ 5 ] + ( match[ 6 ] || 1 ) : - 2 * ( match[ 3 ] === "even" || match[ 3 ] === "odd" ) ); - match[ 5 ] = +( ( match[ 7 ] + match[ 8 ] ) || match[ 3 ] === "odd" ); - - // other types prohibit arguments - } else if ( match[ 3 ] ) { - Sizzle.error( match[ 0 ] ); - } - - return match; - }, - - "PSEUDO": function( match ) { - var excess, - unquoted = !match[ 6 ] && match[ 2 ]; - - if ( matchExpr[ "CHILD" ].test( match[ 0 ] ) ) { - return null; - } - - // Accept quoted arguments as-is - if ( match[ 3 ] ) { - match[ 2 ] = match[ 4 ] || match[ 5 ] || ""; - - // Strip excess characters from unquoted arguments - } else if ( unquoted && rpseudo.test( unquoted ) && - - // Get excess from tokenize (recursively) - ( excess = tokenize( unquoted, true ) ) && - - // advance to the next closing parenthesis - ( excess = unquoted.indexOf( ")", unquoted.length - excess ) - unquoted.length ) ) { - - // excess is a negative index - match[ 0 ] = match[ 0 ].slice( 0, excess ); - match[ 2 ] = unquoted.slice( 0, excess ); - } - - // Return only captures needed by the pseudo filter method (type and argument) - return match.slice( 0, 3 ); - } - }, - - filter: { - - "TAG": function( nodeNameSelector ) { - var nodeName = nodeNameSelector.replace( runescape, funescape ).toLowerCase(); - return nodeNameSelector === "*" ? - function() { - return true; - } : - function( elem ) { - return elem.nodeName && elem.nodeName.toLowerCase() === nodeName; - }; - }, - - "CLASS": function( className ) { - var pattern = classCache[ className + " " ]; - - return pattern || - ( pattern = new RegExp( "(^|" + whitespace + - ")" + className + "(" + whitespace + "|$)" ) ) && classCache( - className, function( elem ) { - return pattern.test( - typeof elem.className === "string" && elem.className || - typeof elem.getAttribute !== "undefined" && - elem.getAttribute( "class" ) || - "" - ); - } ); - }, - - "ATTR": function( name, operator, check ) { - return function( elem ) { - var result = Sizzle.attr( elem, name ); - - if ( result == null ) { - return operator === "!="; - } - if ( !operator ) { - return true; - } - - result += ""; - - /* eslint-disable max-len */ - - return operator === "=" ? result === check : - operator === "!=" ? result !== check : - operator === "^=" ? check && result.indexOf( check ) === 0 : - operator === "*=" ? check && result.indexOf( check ) > -1 : - operator === "$=" ? check && result.slice( -check.length ) === check : - operator === "~=" ? ( " " + result.replace( rwhitespace, " " ) + " " ).indexOf( check ) > -1 : - operator === "|=" ? result === check || result.slice( 0, check.length + 1 ) === check + "-" : - false; - /* eslint-enable max-len */ - - }; - }, - - "CHILD": function( type, what, _argument, first, last ) { - var simple = type.slice( 0, 3 ) !== "nth", - forward = type.slice( -4 ) !== "last", - ofType = what === "of-type"; - - return first === 1 && last === 0 ? - - // Shortcut for :nth-*(n) - function( elem ) { - return !!elem.parentNode; - } : - - function( elem, _context, xml ) { - var cache, uniqueCache, outerCache, node, nodeIndex, start, - dir = simple !== forward ? "nextSibling" : "previousSibling", - parent = elem.parentNode, - name = ofType && elem.nodeName.toLowerCase(), - useCache = !xml && !ofType, - diff = false; - - if ( parent ) { - - // :(first|last|only)-(child|of-type) - if ( simple ) { - while ( dir ) { - node = elem; - while ( ( node = node[ dir ] ) ) { - if ( ofType ? - node.nodeName.toLowerCase() === name : - node.nodeType === 1 ) { - - return false; - } - } - - // Reverse direction for :only-* (if we haven't yet done so) - start = dir = type === "only" && !start && "nextSibling"; - } - return true; - } - - start = [ forward ? parent.firstChild : parent.lastChild ]; - - // non-xml :nth-child(...) stores cache data on `parent` - if ( forward && useCache ) { - - // Seek `elem` from a previously-cached index - - // ...in a gzip-friendly way - node = parent; - outerCache = node[ expando ] || ( node[ expando ] = {} ); - - // Support: IE <9 only - // Defend against cloned attroperties (jQuery gh-1709) - uniqueCache = outerCache[ node.uniqueID ] || - ( outerCache[ node.uniqueID ] = {} ); - - cache = uniqueCache[ type ] || []; - nodeIndex = cache[ 0 ] === dirruns && cache[ 1 ]; - diff = nodeIndex && cache[ 2 ]; - node = nodeIndex && parent.childNodes[ nodeIndex ]; - - while ( ( node = ++nodeIndex && node && node[ dir ] || - - // Fallback to seeking `elem` from the start - ( diff = nodeIndex = 0 ) || start.pop() ) ) { - - // When found, cache indexes on `parent` and break - if ( node.nodeType === 1 && ++diff && node === elem ) { - uniqueCache[ type ] = [ dirruns, nodeIndex, diff ]; - break; - } - } - - } else { - - // Use previously-cached element index if available - if ( useCache ) { - - // ...in a gzip-friendly way - node = elem; - outerCache = node[ expando ] || ( node[ expando ] = {} ); - - // Support: IE <9 only - // Defend against cloned attroperties (jQuery gh-1709) - uniqueCache = outerCache[ node.uniqueID ] || - ( outerCache[ node.uniqueID ] = {} ); - - cache = uniqueCache[ type ] || []; - nodeIndex = cache[ 0 ] === dirruns && cache[ 1 ]; - diff = nodeIndex; - } - - // xml :nth-child(...) - // or :nth-last-child(...) or :nth(-last)?-of-type(...) - if ( diff === false ) { - - // Use the same loop as above to seek `elem` from the start - while ( ( node = ++nodeIndex && node && node[ dir ] || - ( diff = nodeIndex = 0 ) || start.pop() ) ) { - - if ( ( ofType ? - node.nodeName.toLowerCase() === name : - node.nodeType === 1 ) && - ++diff ) { - - // Cache the index of each encountered element - if ( useCache ) { - outerCache = node[ expando ] || - ( node[ expando ] = {} ); - - // Support: IE <9 only - // Defend against cloned attroperties (jQuery gh-1709) - uniqueCache = outerCache[ node.uniqueID ] || - ( outerCache[ node.uniqueID ] = {} ); - - uniqueCache[ type ] = [ dirruns, diff ]; - } - - if ( node === elem ) { - break; - } - } - } - } - } - - // Incorporate the offset, then check against cycle size - diff -= last; - return diff === first || ( diff % first === 0 && diff / first >= 0 ); - } - }; - }, - - "PSEUDO": function( pseudo, argument ) { - - // pseudo-class names are case-insensitive - // http://www.w3.org/TR/selectors/#pseudo-classes - // Prioritize by case sensitivity in case custom pseudos are added with uppercase letters - // Remember that setFilters inherits from pseudos - var args, - fn = Expr.pseudos[ pseudo ] || Expr.setFilters[ pseudo.toLowerCase() ] || - Sizzle.error( "unsupported pseudo: " + pseudo ); - - // The user may use createPseudo to indicate that - // arguments are needed to create the filter function - // just as Sizzle does - if ( fn[ expando ] ) { - return fn( argument ); - } - - // But maintain support for old signatures - if ( fn.length > 1 ) { - args = [ pseudo, pseudo, "", argument ]; - return Expr.setFilters.hasOwnProperty( pseudo.toLowerCase() ) ? - markFunction( function( seed, matches ) { - var idx, - matched = fn( seed, argument ), - i = matched.length; - while ( i-- ) { - idx = indexOf( seed, matched[ i ] ); - seed[ idx ] = !( matches[ idx ] = matched[ i ] ); - } - } ) : - function( elem ) { - return fn( elem, 0, args ); - }; - } - - return fn; - } - }, - - pseudos: { - - // Potentially complex pseudos - "not": markFunction( function( selector ) { - - // Trim the selector passed to compile - // to avoid treating leading and trailing - // spaces as combinators - var input = [], - results = [], - matcher = compile( selector.replace( rtrim, "$1" ) ); - - return matcher[ expando ] ? - markFunction( function( seed, matches, _context, xml ) { - var elem, - unmatched = matcher( seed, null, xml, [] ), - i = seed.length; - - // Match elements unmatched by `matcher` - while ( i-- ) { - if ( ( elem = unmatched[ i ] ) ) { - seed[ i ] = !( matches[ i ] = elem ); - } - } - } ) : - function( elem, _context, xml ) { - input[ 0 ] = elem; - matcher( input, null, xml, results ); - - // Don't keep the element (issue #299) - input[ 0 ] = null; - return !results.pop(); - }; - } ), - - "has": markFunction( function( selector ) { - return function( elem ) { - return Sizzle( selector, elem ).length > 0; - }; - } ), - - "contains": markFunction( function( text ) { - text = text.replace( runescape, funescape ); - return function( elem ) { - return ( elem.textContent || getText( elem ) ).indexOf( text ) > -1; - }; - } ), - - // "Whether an element is represented by a :lang() selector - // is based solely on the element's language value - // being equal to the identifier C, - // or beginning with the identifier C immediately followed by "-". - // The matching of C against the element's language value is performed case-insensitively. - // The identifier C does not have to be a valid language name." - // http://www.w3.org/TR/selectors/#lang-pseudo - "lang": markFunction( function( lang ) { - - // lang value must be a valid identifier - if ( !ridentifier.test( lang || "" ) ) { - Sizzle.error( "unsupported lang: " + lang ); - } - lang = lang.replace( runescape, funescape ).toLowerCase(); - return function( elem ) { - var elemLang; - do { - if ( ( elemLang = documentIsHTML ? - elem.lang : - elem.getAttribute( "xml:lang" ) || elem.getAttribute( "lang" ) ) ) { - - elemLang = elemLang.toLowerCase(); - return elemLang === lang || elemLang.indexOf( lang + "-" ) === 0; - } - } while ( ( elem = elem.parentNode ) && elem.nodeType === 1 ); - return false; - }; - } ), - - // Miscellaneous - "target": function( elem ) { - var hash = window.location && window.location.hash; - return hash && hash.slice( 1 ) === elem.id; - }, - - "root": function( elem ) { - return elem === docElem; - }, - - "focus": function( elem ) { - return elem === document.activeElement && - ( !document.hasFocus || document.hasFocus() ) && - !!( elem.type || elem.href || ~elem.tabIndex ); - }, - - // Boolean properties - "enabled": createDisabledPseudo( false ), - "disabled": createDisabledPseudo( true ), - - "checked": function( elem ) { - - // In CSS3, :checked should return both checked and selected elements - // http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked - var nodeName = elem.nodeName.toLowerCase(); - return ( nodeName === "input" && !!elem.checked ) || - ( nodeName === "option" && !!elem.selected ); - }, - - "selected": function( elem ) { - - // Accessing this property makes selected-by-default - // options in Safari work properly - if ( elem.parentNode ) { - // eslint-disable-next-line no-unused-expressions - elem.parentNode.selectedIndex; - } - - return elem.selected === true; - }, - - // Contents - "empty": function( elem ) { - - // http://www.w3.org/TR/selectors/#empty-pseudo - // :empty is negated by element (1) or content nodes (text: 3; cdata: 4; entity ref: 5), - // but not by others (comment: 8; processing instruction: 7; etc.) - // nodeType < 6 works because attributes (2) do not appear as children - for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) { - if ( elem.nodeType < 6 ) { - return false; - } - } - return true; - }, - - "parent": function( elem ) { - return !Expr.pseudos[ "empty" ]( elem ); - }, - - // Element/input types - "header": function( elem ) { - return rheader.test( elem.nodeName ); - }, - - "input": function( elem ) { - return rinputs.test( elem.nodeName ); - }, - - "button": function( elem ) { - var name = elem.nodeName.toLowerCase(); - return name === "input" && elem.type === "button" || name === "button"; - }, - - "text": function( elem ) { - var attr; - return elem.nodeName.toLowerCase() === "input" && - elem.type === "text" && - - // Support: IE<8 - // New HTML5 attribute values (e.g., "search") appear with elem.type === "text" - ( ( attr = elem.getAttribute( "type" ) ) == null || - attr.toLowerCase() === "text" ); - }, - - // Position-in-collection - "first": createPositionalPseudo( function() { - return [ 0 ]; - } ), - - "last": createPositionalPseudo( function( _matchIndexes, length ) { - return [ length - 1 ]; - } ), - - "eq": createPositionalPseudo( function( _matchIndexes, length, argument ) { - return [ argument < 0 ? argument + length : argument ]; - } ), - - "even": createPositionalPseudo( function( matchIndexes, length ) { - var i = 0; - for ( ; i < length; i += 2 ) { - matchIndexes.push( i ); - } - return matchIndexes; - } ), - - "odd": createPositionalPseudo( function( matchIndexes, length ) { - var i = 1; - for ( ; i < length; i += 2 ) { - matchIndexes.push( i ); - } - return matchIndexes; - } ), - - "lt": createPositionalPseudo( function( matchIndexes, length, argument ) { - var i = argument < 0 ? - argument + length : - argument > length ? - length : - argument; - for ( ; --i >= 0; ) { - matchIndexes.push( i ); - } - return matchIndexes; - } ), - - "gt": createPositionalPseudo( function( matchIndexes, length, argument ) { - var i = argument < 0 ? argument + length : argument; - for ( ; ++i < length; ) { - matchIndexes.push( i ); - } - return matchIndexes; - } ) - } -}; - -Expr.pseudos[ "nth" ] = Expr.pseudos[ "eq" ]; - -// Add button/input type pseudos -for ( i in { radio: true, checkbox: true, file: true, password: true, image: true } ) { - Expr.pseudos[ i ] = createInputPseudo( i ); -} -for ( i in { submit: true, reset: true } ) { - Expr.pseudos[ i ] = createButtonPseudo( i ); -} - -// Easy API for creating new setFilters -function setFilters() {} -setFilters.prototype = Expr.filters = Expr.pseudos; -Expr.setFilters = new setFilters(); - -tokenize = Sizzle.tokenize = function( selector, parseOnly ) { - var matched, match, tokens, type, - soFar, groups, preFilters, - cached = tokenCache[ selector + " " ]; - - if ( cached ) { - return parseOnly ? 0 : cached.slice( 0 ); - } - - soFar = selector; - groups = []; - preFilters = Expr.preFilter; - - while ( soFar ) { - - // Comma and first run - if ( !matched || ( match = rcomma.exec( soFar ) ) ) { - if ( match ) { - - // Don't consume trailing commas as valid - soFar = soFar.slice( match[ 0 ].length ) || soFar; - } - groups.push( ( tokens = [] ) ); - } - - matched = false; - - // Combinators - if ( ( match = rcombinators.exec( soFar ) ) ) { - matched = match.shift(); - tokens.push( { - value: matched, - - // Cast descendant combinators to space - type: match[ 0 ].replace( rtrim, " " ) - } ); - soFar = soFar.slice( matched.length ); - } - - // Filters - for ( type in Expr.filter ) { - if ( ( match = matchExpr[ type ].exec( soFar ) ) && ( !preFilters[ type ] || - ( match = preFilters[ type ]( match ) ) ) ) { - matched = match.shift(); - tokens.push( { - value: matched, - type: type, - matches: match - } ); - soFar = soFar.slice( matched.length ); - } - } - - if ( !matched ) { - break; - } - } - - // Return the length of the invalid excess - // if we're just parsing - // Otherwise, throw an error or return tokens - return parseOnly ? - soFar.length : - soFar ? - Sizzle.error( selector ) : - - // Cache the tokens - tokenCache( selector, groups ).slice( 0 ); -}; - -function toSelector( tokens ) { - var i = 0, - len = tokens.length, - selector = ""; - for ( ; i < len; i++ ) { - selector += tokens[ i ].value; - } - return selector; -} - -function addCombinator( matcher, combinator, base ) { - var dir = combinator.dir, - skip = combinator.next, - key = skip || dir, - checkNonElements = base && key === "parentNode", - doneName = done++; - - return combinator.first ? - - // Check against closest ancestor/preceding element - function( elem, context, xml ) { - while ( ( elem = elem[ dir ] ) ) { - if ( elem.nodeType === 1 || checkNonElements ) { - return matcher( elem, context, xml ); - } - } - return false; - } : - - // Check against all ancestor/preceding elements - function( elem, context, xml ) { - var oldCache, uniqueCache, outerCache, - newCache = [ dirruns, doneName ]; - - // We can't set arbitrary data on XML nodes, so they don't benefit from combinator caching - if ( xml ) { - while ( ( elem = elem[ dir ] ) ) { - if ( elem.nodeType === 1 || checkNonElements ) { - if ( matcher( elem, context, xml ) ) { - return true; - } - } - } - } else { - while ( ( elem = elem[ dir ] ) ) { - if ( elem.nodeType === 1 || checkNonElements ) { - outerCache = elem[ expando ] || ( elem[ expando ] = {} ); - - // Support: IE <9 only - // Defend against cloned attroperties (jQuery gh-1709) - uniqueCache = outerCache[ elem.uniqueID ] || - ( outerCache[ elem.uniqueID ] = {} ); - - if ( skip && skip === elem.nodeName.toLowerCase() ) { - elem = elem[ dir ] || elem; - } else if ( ( oldCache = uniqueCache[ key ] ) && - oldCache[ 0 ] === dirruns && oldCache[ 1 ] === doneName ) { - - // Assign to newCache so results back-propagate to previous elements - return ( newCache[ 2 ] = oldCache[ 2 ] ); - } else { - - // Reuse newcache so results back-propagate to previous elements - uniqueCache[ key ] = newCache; - - // A match means we're done; a fail means we have to keep checking - if ( ( newCache[ 2 ] = matcher( elem, context, xml ) ) ) { - return true; - } - } - } - } - } - return false; - }; -} - -function elementMatcher( matchers ) { - return matchers.length > 1 ? - function( elem, context, xml ) { - var i = matchers.length; - while ( i-- ) { - if ( !matchers[ i ]( elem, context, xml ) ) { - return false; - } - } - return true; - } : - matchers[ 0 ]; -} - -function multipleContexts( selector, contexts, results ) { - var i = 0, - len = contexts.length; - for ( ; i < len; i++ ) { - Sizzle( selector, contexts[ i ], results ); - } - return results; -} - -function condense( unmatched, map, filter, context, xml ) { - var elem, - newUnmatched = [], - i = 0, - len = unmatched.length, - mapped = map != null; - - for ( ; i < len; i++ ) { - if ( ( elem = unmatched[ i ] ) ) { - if ( !filter || filter( elem, context, xml ) ) { - newUnmatched.push( elem ); - if ( mapped ) { - map.push( i ); - } - } - } - } - - return newUnmatched; -} - -function setMatcher( preFilter, selector, matcher, postFilter, postFinder, postSelector ) { - if ( postFilter && !postFilter[ expando ] ) { - postFilter = setMatcher( postFilter ); - } - if ( postFinder && !postFinder[ expando ] ) { - postFinder = setMatcher( postFinder, postSelector ); - } - return markFunction( function( seed, results, context, xml ) { - var temp, i, elem, - preMap = [], - postMap = [], - preexisting = results.length, - - // Get initial elements from seed or context - elems = seed || multipleContexts( - selector || "*", - context.nodeType ? [ context ] : context, - [] - ), - - // Prefilter to get matcher input, preserving a map for seed-results synchronization - matcherIn = preFilter && ( seed || !selector ) ? - condense( elems, preMap, preFilter, context, xml ) : - elems, - - matcherOut = matcher ? - - // If we have a postFinder, or filtered seed, or non-seed postFilter or preexisting results, - postFinder || ( seed ? preFilter : preexisting || postFilter ) ? - - // ...intermediate processing is necessary - [] : - - // ...otherwise use results directly - results : - matcherIn; - - // Find primary matches - if ( matcher ) { - matcher( matcherIn, matcherOut, context, xml ); - } - - // Apply postFilter - if ( postFilter ) { - temp = condense( matcherOut, postMap ); - postFilter( temp, [], context, xml ); - - // Un-match failing elements by moving them back to matcherIn - i = temp.length; - while ( i-- ) { - if ( ( elem = temp[ i ] ) ) { - matcherOut[ postMap[ i ] ] = !( matcherIn[ postMap[ i ] ] = elem ); - } - } - } - - if ( seed ) { - if ( postFinder || preFilter ) { - if ( postFinder ) { - - // Get the final matcherOut by condensing this intermediate into postFinder contexts - temp = []; - i = matcherOut.length; - while ( i-- ) { - if ( ( elem = matcherOut[ i ] ) ) { - - // Restore matcherIn since elem is not yet a final match - temp.push( ( matcherIn[ i ] = elem ) ); - } - } - postFinder( null, ( matcherOut = [] ), temp, xml ); - } - - // Move matched elements from seed to results to keep them synchronized - i = matcherOut.length; - while ( i-- ) { - if ( ( elem = matcherOut[ i ] ) && - ( temp = postFinder ? indexOf( seed, elem ) : preMap[ i ] ) > -1 ) { - - seed[ temp ] = !( results[ temp ] = elem ); - } - } - } - - // Add elements to results, through postFinder if defined - } else { - matcherOut = condense( - matcherOut === results ? - matcherOut.splice( preexisting, matcherOut.length ) : - matcherOut - ); - if ( postFinder ) { - postFinder( null, results, matcherOut, xml ); - } else { - push.apply( results, matcherOut ); - } - } - } ); -} - -function matcherFromTokens( tokens ) { - var checkContext, matcher, j, - len = tokens.length, - leadingRelative = Expr.relative[ tokens[ 0 ].type ], - implicitRelative = leadingRelative || Expr.relative[ " " ], - i = leadingRelative ? 1 : 0, - - // The foundational matcher ensures that elements are reachable from top-level context(s) - matchContext = addCombinator( function( elem ) { - return elem === checkContext; - }, implicitRelative, true ), - matchAnyContext = addCombinator( function( elem ) { - return indexOf( checkContext, elem ) > -1; - }, implicitRelative, true ), - matchers = [ function( elem, context, xml ) { - var ret = ( !leadingRelative && ( xml || context !== outermostContext ) ) || ( - ( checkContext = context ).nodeType ? - matchContext( elem, context, xml ) : - matchAnyContext( elem, context, xml ) ); - - // Avoid hanging onto element (issue #299) - checkContext = null; - return ret; - } ]; - - for ( ; i < len; i++ ) { - if ( ( matcher = Expr.relative[ tokens[ i ].type ] ) ) { - matchers = [ addCombinator( elementMatcher( matchers ), matcher ) ]; - } else { - matcher = Expr.filter[ tokens[ i ].type ].apply( null, tokens[ i ].matches ); - - // Return special upon seeing a positional matcher - if ( matcher[ expando ] ) { - - // Find the next relative operator (if any) for proper handling - j = ++i; - for ( ; j < len; j++ ) { - if ( Expr.relative[ tokens[ j ].type ] ) { - break; - } - } - return setMatcher( - i > 1 && elementMatcher( matchers ), - i > 1 && toSelector( - - // If the preceding token was a descendant combinator, insert an implicit any-element `*` - tokens - .slice( 0, i - 1 ) - .concat( { value: tokens[ i - 2 ].type === " " ? "*" : "" } ) - ).replace( rtrim, "$1" ), - matcher, - i < j && matcherFromTokens( tokens.slice( i, j ) ), - j < len && matcherFromTokens( ( tokens = tokens.slice( j ) ) ), - j < len && toSelector( tokens ) - ); - } - matchers.push( matcher ); - } - } - - return elementMatcher( matchers ); -} - -function matcherFromGroupMatchers( elementMatchers, setMatchers ) { - var bySet = setMatchers.length > 0, - byElement = elementMatchers.length > 0, - superMatcher = function( seed, context, xml, results, outermost ) { - var elem, j, matcher, - matchedCount = 0, - i = "0", - unmatched = seed && [], - setMatched = [], - contextBackup = outermostContext, - - // We must always have either seed elements or outermost context - elems = seed || byElement && Expr.find[ "TAG" ]( "*", outermost ), - - // Use integer dirruns iff this is the outermost matcher - dirrunsUnique = ( dirruns += contextBackup == null ? 1 : Math.random() || 0.1 ), - len = elems.length; - - if ( outermost ) { - - // Support: IE 11+, Edge 17 - 18+ - // IE/Edge sometimes throw a "Permission denied" error when strict-comparing - // two documents; shallow comparisons work. - // eslint-disable-next-line eqeqeq - outermostContext = context == document || context || outermost; - } - - // Add elements passing elementMatchers directly to results - // Support: IE<9, Safari - // Tolerate NodeList properties (IE: "length"; Safari: ) matching elements by id - for ( ; i !== len && ( elem = elems[ i ] ) != null; i++ ) { - if ( byElement && elem ) { - j = 0; - - // Support: IE 11+, Edge 17 - 18+ - // IE/Edge sometimes throw a "Permission denied" error when strict-comparing - // two documents; shallow comparisons work. - // eslint-disable-next-line eqeqeq - if ( !context && elem.ownerDocument != document ) { - setDocument( elem ); - xml = !documentIsHTML; - } - while ( ( matcher = elementMatchers[ j++ ] ) ) { - if ( matcher( elem, context || document, xml ) ) { - results.push( elem ); - break; - } - } - if ( outermost ) { - dirruns = dirrunsUnique; - } - } - - // Track unmatched elements for set filters - if ( bySet ) { - - // They will have gone through all possible matchers - if ( ( elem = !matcher && elem ) ) { - matchedCount--; - } - - // Lengthen the array for every element, matched or not - if ( seed ) { - unmatched.push( elem ); - } - } - } - - // `i` is now the count of elements visited above, and adding it to `matchedCount` - // makes the latter nonnegative. - matchedCount += i; - - // Apply set filters to unmatched elements - // NOTE: This can be skipped if there are no unmatched elements (i.e., `matchedCount` - // equals `i`), unless we didn't visit _any_ elements in the above loop because we have - // no element matchers and no seed. - // Incrementing an initially-string "0" `i` allows `i` to remain a string only in that - // case, which will result in a "00" `matchedCount` that differs from `i` but is also - // numerically zero. - if ( bySet && i !== matchedCount ) { - j = 0; - while ( ( matcher = setMatchers[ j++ ] ) ) { - matcher( unmatched, setMatched, context, xml ); - } - - if ( seed ) { - - // Reintegrate element matches to eliminate the need for sorting - if ( matchedCount > 0 ) { - while ( i-- ) { - if ( !( unmatched[ i ] || setMatched[ i ] ) ) { - setMatched[ i ] = pop.call( results ); - } - } - } - - // Discard index placeholder values to get only actual matches - setMatched = condense( setMatched ); - } - - // Add matches to results - push.apply( results, setMatched ); - - // Seedless set matches succeeding multiple successful matchers stipulate sorting - if ( outermost && !seed && setMatched.length > 0 && - ( matchedCount + setMatchers.length ) > 1 ) { - - Sizzle.uniqueSort( results ); - } - } - - // Override manipulation of globals by nested matchers - if ( outermost ) { - dirruns = dirrunsUnique; - outermostContext = contextBackup; - } - - return unmatched; - }; - - return bySet ? - markFunction( superMatcher ) : - superMatcher; -} - -compile = Sizzle.compile = function( selector, match /* Internal Use Only */ ) { - var i, - setMatchers = [], - elementMatchers = [], - cached = compilerCache[ selector + " " ]; - - if ( !cached ) { - - // Generate a function of recursive functions that can be used to check each element - if ( !match ) { - match = tokenize( selector ); - } - i = match.length; - while ( i-- ) { - cached = matcherFromTokens( match[ i ] ); - if ( cached[ expando ] ) { - setMatchers.push( cached ); - } else { - elementMatchers.push( cached ); - } - } - - // Cache the compiled function - cached = compilerCache( - selector, - matcherFromGroupMatchers( elementMatchers, setMatchers ) - ); - - // Save selector and tokenization - cached.selector = selector; - } - return cached; -}; - -/** - * A low-level selection function that works with Sizzle's compiled - * selector functions - * @param {String|Function} selector A selector or a pre-compiled - * selector function built with Sizzle.compile - * @param {Element} context - * @param {Array} [results] - * @param {Array} [seed] A set of elements to match against - */ -select = Sizzle.select = function( selector, context, results, seed ) { - var i, tokens, token, type, find, - compiled = typeof selector === "function" && selector, - match = !seed && tokenize( ( selector = compiled.selector || selector ) ); - - results = results || []; - - // Try to minimize operations if there is only one selector in the list and no seed - // (the latter of which guarantees us context) - if ( match.length === 1 ) { - - // Reduce context if the leading compound selector is an ID - tokens = match[ 0 ] = match[ 0 ].slice( 0 ); - if ( tokens.length > 2 && ( token = tokens[ 0 ] ).type === "ID" && - context.nodeType === 9 && documentIsHTML && Expr.relative[ tokens[ 1 ].type ] ) { - - context = ( Expr.find[ "ID" ]( token.matches[ 0 ] - .replace( runescape, funescape ), context ) || [] )[ 0 ]; - if ( !context ) { - return results; - - // Precompiled matchers will still verify ancestry, so step up a level - } else if ( compiled ) { - context = context.parentNode; - } - - selector = selector.slice( tokens.shift().value.length ); - } - - // Fetch a seed set for right-to-left matching - i = matchExpr[ "needsContext" ].test( selector ) ? 0 : tokens.length; - while ( i-- ) { - token = tokens[ i ]; - - // Abort if we hit a combinator - if ( Expr.relative[ ( type = token.type ) ] ) { - break; - } - if ( ( find = Expr.find[ type ] ) ) { - - // Search, expanding context for leading sibling combinators - if ( ( seed = find( - token.matches[ 0 ].replace( runescape, funescape ), - rsibling.test( tokens[ 0 ].type ) && testContext( context.parentNode ) || - context - ) ) ) { - - // If seed is empty or no tokens remain, we can return early - tokens.splice( i, 1 ); - selector = seed.length && toSelector( tokens ); - if ( !selector ) { - push.apply( results, seed ); - return results; - } - - break; - } - } - } - } - - // Compile and execute a filtering function if one is not provided - // Provide `match` to avoid retokenization if we modified the selector above - ( compiled || compile( selector, match ) )( - seed, - context, - !documentIsHTML, - results, - !context || rsibling.test( selector ) && testContext( context.parentNode ) || context - ); - return results; -}; - -// One-time assignments - -// Sort stability -support.sortStable = expando.split( "" ).sort( sortOrder ).join( "" ) === expando; - -// Support: Chrome 14-35+ -// Always assume duplicates if they aren't passed to the comparison function -support.detectDuplicates = !!hasDuplicate; - -// Initialize against the default document -setDocument(); - -// Support: Webkit<537.32 - Safari 6.0.3/Chrome 25 (fixed in Chrome 27) -// Detached nodes confoundingly follow *each other* -support.sortDetached = assert( function( el ) { - - // Should return 1, but returns 4 (following) - return el.compareDocumentPosition( document.createElement( "fieldset" ) ) & 1; -} ); - -// Support: IE<8 -// Prevent attribute/property "interpolation" -// https://msdn.microsoft.com/en-us/library/ms536429%28VS.85%29.aspx -if ( !assert( function( el ) { - el.innerHTML = ""; - return el.firstChild.getAttribute( "href" ) === "#"; -} ) ) { - addHandle( "type|href|height|width", function( elem, name, isXML ) { - if ( !isXML ) { - return elem.getAttribute( name, name.toLowerCase() === "type" ? 1 : 2 ); - } - } ); -} - -// Support: IE<9 -// Use defaultValue in place of getAttribute("value") -if ( !support.attributes || !assert( function( el ) { - el.innerHTML = ""; - el.firstChild.setAttribute( "value", "" ); - return el.firstChild.getAttribute( "value" ) === ""; -} ) ) { - addHandle( "value", function( elem, _name, isXML ) { - if ( !isXML && elem.nodeName.toLowerCase() === "input" ) { - return elem.defaultValue; - } - } ); -} - -// Support: IE<9 -// Use getAttributeNode to fetch booleans when getAttribute lies -if ( !assert( function( el ) { - return el.getAttribute( "disabled" ) == null; -} ) ) { - addHandle( booleans, function( elem, name, isXML ) { - var val; - if ( !isXML ) { - return elem[ name ] === true ? name.toLowerCase() : - ( val = elem.getAttributeNode( name ) ) && val.specified ? - val.value : - null; - } - } ); -} - -return Sizzle; - -} )( window ); - - - -jQuery.find = Sizzle; -jQuery.expr = Sizzle.selectors; - -// Deprecated -jQuery.expr[ ":" ] = jQuery.expr.pseudos; -jQuery.uniqueSort = jQuery.unique = Sizzle.uniqueSort; -jQuery.text = Sizzle.getText; -jQuery.isXMLDoc = Sizzle.isXML; -jQuery.contains = Sizzle.contains; -jQuery.escapeSelector = Sizzle.escape; - - - - -var dir = function( elem, dir, until ) { - var matched = [], - truncate = until !== undefined; - - while ( ( elem = elem[ dir ] ) && elem.nodeType !== 9 ) { - if ( elem.nodeType === 1 ) { - if ( truncate && jQuery( elem ).is( until ) ) { - break; - } - matched.push( elem ); - } - } - return matched; -}; - - -var siblings = function( n, elem ) { - var matched = []; - - for ( ; n; n = n.nextSibling ) { - if ( n.nodeType === 1 && n !== elem ) { - matched.push( n ); - } - } - - return matched; -}; - - -var rneedsContext = jQuery.expr.match.needsContext; - - - -function nodeName( elem, name ) { - - return elem.nodeName && elem.nodeName.toLowerCase() === name.toLowerCase(); - -} -var rsingleTag = ( /^<([a-z][^\/\0>:\x20\t\r\n\f]*)[\x20\t\r\n\f]*\/?>(?:<\/\1>|)$/i ); - - - -// Implement the identical functionality for filter and not -function winnow( elements, qualifier, not ) { - if ( isFunction( qualifier ) ) { - return jQuery.grep( elements, function( elem, i ) { - return !!qualifier.call( elem, i, elem ) !== not; - } ); - } - - // Single element - if ( qualifier.nodeType ) { - return jQuery.grep( elements, function( elem ) { - return ( elem === qualifier ) !== not; - } ); - } - - // Arraylike of elements (jQuery, arguments, Array) - if ( typeof qualifier !== "string" ) { - return jQuery.grep( elements, function( elem ) { - return ( indexOf.call( qualifier, elem ) > -1 ) !== not; - } ); - } - - // Filtered directly for both simple and complex selectors - return jQuery.filter( qualifier, elements, not ); -} - -jQuery.filter = function( expr, elems, not ) { - var elem = elems[ 0 ]; - - if ( not ) { - expr = ":not(" + expr + ")"; - } - - if ( elems.length === 1 && elem.nodeType === 1 ) { - return jQuery.find.matchesSelector( elem, expr ) ? [ elem ] : []; - } - - return jQuery.find.matches( expr, jQuery.grep( elems, function( elem ) { - return elem.nodeType === 1; - } ) ); -}; - -jQuery.fn.extend( { - find: function( selector ) { - var i, ret, - len = this.length, - self = this; - - if ( typeof selector !== "string" ) { - return this.pushStack( jQuery( selector ).filter( function() { - for ( i = 0; i < len; i++ ) { - if ( jQuery.contains( self[ i ], this ) ) { - return true; - } - } - } ) ); - } - - ret = this.pushStack( [] ); - - for ( i = 0; i < len; i++ ) { - jQuery.find( selector, self[ i ], ret ); - } - - return len > 1 ? jQuery.uniqueSort( ret ) : ret; - }, - filter: function( selector ) { - return this.pushStack( winnow( this, selector || [], false ) ); - }, - not: function( selector ) { - return this.pushStack( winnow( this, selector || [], true ) ); - }, - is: function( selector ) { - return !!winnow( - this, - - // If this is a positional/relative selector, check membership in the returned set - // so $("p:first").is("p:last") won't return true for a doc with two "p". - typeof selector === "string" && rneedsContext.test( selector ) ? - jQuery( selector ) : - selector || [], - false - ).length; - } -} ); - - -// Initialize a jQuery object - - -// A central reference to the root jQuery(document) -var rootjQuery, - - // A simple way to check for HTML strings - // Prioritize #id over to avoid XSS via location.hash (#9521) - // Strict HTML recognition (#11290: must start with <) - // Shortcut simple #id case for speed - rquickExpr = /^(?:\s*(<[\w\W]+>)[^>]*|#([\w-]+))$/, - - init = jQuery.fn.init = function( selector, context, root ) { - var match, elem; - - // HANDLE: $(""), $(null), $(undefined), $(false) - if ( !selector ) { - return this; - } - - // Method init() accepts an alternate rootjQuery - // so migrate can support jQuery.sub (gh-2101) - root = root || rootjQuery; - - // Handle HTML strings - if ( typeof selector === "string" ) { - if ( selector[ 0 ] === "<" && - selector[ selector.length - 1 ] === ">" && - selector.length >= 3 ) { - - // Assume that strings that start and end with <> are HTML and skip the regex check - match = [ null, selector, null ]; - - } else { - match = rquickExpr.exec( selector ); - } - - // Match html or make sure no context is specified for #id - if ( match && ( match[ 1 ] || !context ) ) { - - // HANDLE: $(html) -> $(array) - if ( match[ 1 ] ) { - context = context instanceof jQuery ? context[ 0 ] : context; - - // Option to run scripts is true for back-compat - // Intentionally let the error be thrown if parseHTML is not present - jQuery.merge( this, jQuery.parseHTML( - match[ 1 ], - context && context.nodeType ? context.ownerDocument || context : document, - true - ) ); - - // HANDLE: $(html, props) - if ( rsingleTag.test( match[ 1 ] ) && jQuery.isPlainObject( context ) ) { - for ( match in context ) { - - // Properties of context are called as methods if possible - if ( isFunction( this[ match ] ) ) { - this[ match ]( context[ match ] ); - - // ...and otherwise set as attributes - } else { - this.attr( match, context[ match ] ); - } - } - } - - return this; - - // HANDLE: $(#id) - } else { - elem = document.getElementById( match[ 2 ] ); - - if ( elem ) { - - // Inject the element directly into the jQuery object - this[ 0 ] = elem; - this.length = 1; - } - return this; - } - - // HANDLE: $(expr, $(...)) - } else if ( !context || context.jquery ) { - return ( context || root ).find( selector ); - - // HANDLE: $(expr, context) - // (which is just equivalent to: $(context).find(expr) - } else { - return this.constructor( context ).find( selector ); - } - - // HANDLE: $(DOMElement) - } else if ( selector.nodeType ) { - this[ 0 ] = selector; - this.length = 1; - return this; - - // HANDLE: $(function) - // Shortcut for document ready - } else if ( isFunction( selector ) ) { - return root.ready !== undefined ? - root.ready( selector ) : - - // Execute immediately if ready is not present - selector( jQuery ); - } - - return jQuery.makeArray( selector, this ); - }; - -// Give the init function the jQuery prototype for later instantiation -init.prototype = jQuery.fn; - -// Initialize central reference -rootjQuery = jQuery( document ); - - -var rparentsprev = /^(?:parents|prev(?:Until|All))/, - - // Methods guaranteed to produce a unique set when starting from a unique set - guaranteedUnique = { - children: true, - contents: true, - next: true, - prev: true - }; - -jQuery.fn.extend( { - has: function( target ) { - var targets = jQuery( target, this ), - l = targets.length; - - return this.filter( function() { - var i = 0; - for ( ; i < l; i++ ) { - if ( jQuery.contains( this, targets[ i ] ) ) { - return true; - } - } - } ); - }, - - closest: function( selectors, context ) { - var cur, - i = 0, - l = this.length, - matched = [], - targets = typeof selectors !== "string" && jQuery( selectors ); - - // Positional selectors never match, since there's no _selection_ context - if ( !rneedsContext.test( selectors ) ) { - for ( ; i < l; i++ ) { - for ( cur = this[ i ]; cur && cur !== context; cur = cur.parentNode ) { - - // Always skip document fragments - if ( cur.nodeType < 11 && ( targets ? - targets.index( cur ) > -1 : - - // Don't pass non-elements to Sizzle - cur.nodeType === 1 && - jQuery.find.matchesSelector( cur, selectors ) ) ) { - - matched.push( cur ); - break; - } - } - } - } - - return this.pushStack( matched.length > 1 ? jQuery.uniqueSort( matched ) : matched ); - }, - - // Determine the position of an element within the set - index: function( elem ) { - - // No argument, return index in parent - if ( !elem ) { - return ( this[ 0 ] && this[ 0 ].parentNode ) ? this.first().prevAll().length : -1; - } - - // Index in selector - if ( typeof elem === "string" ) { - return indexOf.call( jQuery( elem ), this[ 0 ] ); - } - - // Locate the position of the desired element - return indexOf.call( this, - - // If it receives a jQuery object, the first element is used - elem.jquery ? elem[ 0 ] : elem - ); - }, - - add: function( selector, context ) { - return this.pushStack( - jQuery.uniqueSort( - jQuery.merge( this.get(), jQuery( selector, context ) ) - ) - ); - }, - - addBack: function( selector ) { - return this.add( selector == null ? - this.prevObject : this.prevObject.filter( selector ) - ); - } -} ); - -function sibling( cur, dir ) { - while ( ( cur = cur[ dir ] ) && cur.nodeType !== 1 ) {} - return cur; -} - -jQuery.each( { - parent: function( elem ) { - var parent = elem.parentNode; - return parent && parent.nodeType !== 11 ? parent : null; - }, - parents: function( elem ) { - return dir( elem, "parentNode" ); - }, - parentsUntil: function( elem, _i, until ) { - return dir( elem, "parentNode", until ); - }, - next: function( elem ) { - return sibling( elem, "nextSibling" ); - }, - prev: function( elem ) { - return sibling( elem, "previousSibling" ); - }, - nextAll: function( elem ) { - return dir( elem, "nextSibling" ); - }, - prevAll: function( elem ) { - return dir( elem, "previousSibling" ); - }, - nextUntil: function( elem, _i, until ) { - return dir( elem, "nextSibling", until ); - }, - prevUntil: function( elem, _i, until ) { - return dir( elem, "previousSibling", until ); - }, - siblings: function( elem ) { - return siblings( ( elem.parentNode || {} ).firstChild, elem ); - }, - children: function( elem ) { - return siblings( elem.firstChild ); - }, - contents: function( elem ) { - if ( elem.contentDocument != null && - - // Support: IE 11+ - // elements with no `data` attribute has an object - // `contentDocument` with a `null` prototype. - getProto( elem.contentDocument ) ) { - - return elem.contentDocument; - } - - // Support: IE 9 - 11 only, iOS 7 only, Android Browser <=4.3 only - // Treat the template element as a regular one in browsers that - // don't support it. - if ( nodeName( elem, "template" ) ) { - elem = elem.content || elem; - } - - return jQuery.merge( [], elem.childNodes ); - } -}, function( name, fn ) { - jQuery.fn[ name ] = function( until, selector ) { - var matched = jQuery.map( this, fn, until ); - - if ( name.slice( -5 ) !== "Until" ) { - selector = until; - } - - if ( selector && typeof selector === "string" ) { - matched = jQuery.filter( selector, matched ); - } - - if ( this.length > 1 ) { - - // Remove duplicates - if ( !guaranteedUnique[ name ] ) { - jQuery.uniqueSort( matched ); - } - - // Reverse order for parents* and prev-derivatives - if ( rparentsprev.test( name ) ) { - matched.reverse(); - } - } - - return this.pushStack( matched ); - }; -} ); -var rnothtmlwhite = ( /[^\x20\t\r\n\f]+/g ); - - - -// Convert String-formatted options into Object-formatted ones -function createOptions( options ) { - var object = {}; - jQuery.each( options.match( rnothtmlwhite ) || [], function( _, flag ) { - object[ flag ] = true; - } ); - return object; -} - -/* - * Create a callback list using the following parameters: - * - * options: an optional list of space-separated options that will change how - * the callback list behaves or a more traditional option object - * - * By default a callback list will act like an event callback list and can be - * "fired" multiple times. - * - * Possible options: - * - * once: will ensure the callback list can only be fired once (like a Deferred) - * - * memory: will keep track of previous values and will call any callback added - * after the list has been fired right away with the latest "memorized" - * values (like a Deferred) - * - * unique: will ensure a callback can only be added once (no duplicate in the list) - * - * stopOnFalse: interrupt callings when a callback returns false - * - */ -jQuery.Callbacks = function( options ) { - - // Convert options from String-formatted to Object-formatted if needed - // (we check in cache first) - options = typeof options === "string" ? - createOptions( options ) : - jQuery.extend( {}, options ); - - var // Flag to know if list is currently firing - firing, - - // Last fire value for non-forgettable lists - memory, - - // Flag to know if list was already fired - fired, - - // Flag to prevent firing - locked, - - // Actual callback list - list = [], - - // Queue of execution data for repeatable lists - queue = [], - - // Index of currently firing callback (modified by add/remove as needed) - firingIndex = -1, - - // Fire callbacks - fire = function() { - - // Enforce single-firing - locked = locked || options.once; - - // Execute callbacks for all pending executions, - // respecting firingIndex overrides and runtime changes - fired = firing = true; - for ( ; queue.length; firingIndex = -1 ) { - memory = queue.shift(); - while ( ++firingIndex < list.length ) { - - // Run callback and check for early termination - if ( list[ firingIndex ].apply( memory[ 0 ], memory[ 1 ] ) === false && - options.stopOnFalse ) { - - // Jump to end and forget the data so .add doesn't re-fire - firingIndex = list.length; - memory = false; - } - } - } - - // Forget the data if we're done with it - if ( !options.memory ) { - memory = false; - } - - firing = false; - - // Clean up if we're done firing for good - if ( locked ) { - - // Keep an empty list if we have data for future add calls - if ( memory ) { - list = []; - - // Otherwise, this object is spent - } else { - list = ""; - } - } - }, - - // Actual Callbacks object - self = { - - // Add a callback or a collection of callbacks to the list - add: function() { - if ( list ) { - - // If we have memory from a past run, we should fire after adding - if ( memory && !firing ) { - firingIndex = list.length - 1; - queue.push( memory ); - } - - ( function add( args ) { - jQuery.each( args, function( _, arg ) { - if ( isFunction( arg ) ) { - if ( !options.unique || !self.has( arg ) ) { - list.push( arg ); - } - } else if ( arg && arg.length && toType( arg ) !== "string" ) { - - // Inspect recursively - add( arg ); - } - } ); - } )( arguments ); - - if ( memory && !firing ) { - fire(); - } - } - return this; - }, - - // Remove a callback from the list - remove: function() { - jQuery.each( arguments, function( _, arg ) { - var index; - while ( ( index = jQuery.inArray( arg, list, index ) ) > -1 ) { - list.splice( index, 1 ); - - // Handle firing indexes - if ( index <= firingIndex ) { - firingIndex--; - } - } - } ); - return this; - }, - - // Check if a given callback is in the list. - // If no argument is given, return whether or not list has callbacks attached. - has: function( fn ) { - return fn ? - jQuery.inArray( fn, list ) > -1 : - list.length > 0; - }, - - // Remove all callbacks from the list - empty: function() { - if ( list ) { - list = []; - } - return this; - }, - - // Disable .fire and .add - // Abort any current/pending executions - // Clear all callbacks and values - disable: function() { - locked = queue = []; - list = memory = ""; - return this; - }, - disabled: function() { - return !list; - }, - - // Disable .fire - // Also disable .add unless we have memory (since it would have no effect) - // Abort any pending executions - lock: function() { - locked = queue = []; - if ( !memory && !firing ) { - list = memory = ""; - } - return this; - }, - locked: function() { - return !!locked; - }, - - // Call all callbacks with the given context and arguments - fireWith: function( context, args ) { - if ( !locked ) { - args = args || []; - args = [ context, args.slice ? args.slice() : args ]; - queue.push( args ); - if ( !firing ) { - fire(); - } - } - return this; - }, - - // Call all the callbacks with the given arguments - fire: function() { - self.fireWith( this, arguments ); - return this; - }, - - // To know if the callbacks have already been called at least once - fired: function() { - return !!fired; - } - }; - - return self; -}; - - -function Identity( v ) { - return v; -} -function Thrower( ex ) { - throw ex; -} - -function adoptValue( value, resolve, reject, noValue ) { - var method; - - try { - - // Check for promise aspect first to privilege synchronous behavior - if ( value && isFunction( ( method = value.promise ) ) ) { - method.call( value ).done( resolve ).fail( reject ); - - // Other thenables - } else if ( value && isFunction( ( method = value.then ) ) ) { - method.call( value, resolve, reject ); - - // Other non-thenables - } else { - - // Control `resolve` arguments by letting Array#slice cast boolean `noValue` to integer: - // * false: [ value ].slice( 0 ) => resolve( value ) - // * true: [ value ].slice( 1 ) => resolve() - resolve.apply( undefined, [ value ].slice( noValue ) ); - } - - // For Promises/A+, convert exceptions into rejections - // Since jQuery.when doesn't unwrap thenables, we can skip the extra checks appearing in - // Deferred#then to conditionally suppress rejection. - } catch ( value ) { - - // Support: Android 4.0 only - // Strict mode functions invoked without .call/.apply get global-object context - reject.apply( undefined, [ value ] ); - } -} - -jQuery.extend( { - - Deferred: function( func ) { - var tuples = [ - - // action, add listener, callbacks, - // ... .then handlers, argument index, [final state] - [ "notify", "progress", jQuery.Callbacks( "memory" ), - jQuery.Callbacks( "memory" ), 2 ], - [ "resolve", "done", jQuery.Callbacks( "once memory" ), - jQuery.Callbacks( "once memory" ), 0, "resolved" ], - [ "reject", "fail", jQuery.Callbacks( "once memory" ), - jQuery.Callbacks( "once memory" ), 1, "rejected" ] - ], - state = "pending", - promise = { - state: function() { - return state; - }, - always: function() { - deferred.done( arguments ).fail( arguments ); - return this; - }, - "catch": function( fn ) { - return promise.then( null, fn ); - }, - - // Keep pipe for back-compat - pipe: function( /* fnDone, fnFail, fnProgress */ ) { - var fns = arguments; - - return jQuery.Deferred( function( newDefer ) { - jQuery.each( tuples, function( _i, tuple ) { - - // Map tuples (progress, done, fail) to arguments (done, fail, progress) - var fn = isFunction( fns[ tuple[ 4 ] ] ) && fns[ tuple[ 4 ] ]; - - // deferred.progress(function() { bind to newDefer or newDefer.notify }) - // deferred.done(function() { bind to newDefer or newDefer.resolve }) - // deferred.fail(function() { bind to newDefer or newDefer.reject }) - deferred[ tuple[ 1 ] ]( function() { - var returned = fn && fn.apply( this, arguments ); - if ( returned && isFunction( returned.promise ) ) { - returned.promise() - .progress( newDefer.notify ) - .done( newDefer.resolve ) - .fail( newDefer.reject ); - } else { - newDefer[ tuple[ 0 ] + "With" ]( - this, - fn ? [ returned ] : arguments - ); - } - } ); - } ); - fns = null; - } ).promise(); - }, - then: function( onFulfilled, onRejected, onProgress ) { - var maxDepth = 0; - function resolve( depth, deferred, handler, special ) { - return function() { - var that = this, - args = arguments, - mightThrow = function() { - var returned, then; - - // Support: Promises/A+ section 2.3.3.3.3 - // https://promisesaplus.com/#point-59 - // Ignore double-resolution attempts - if ( depth < maxDepth ) { - return; - } - - returned = handler.apply( that, args ); - - // Support: Promises/A+ section 2.3.1 - // https://promisesaplus.com/#point-48 - if ( returned === deferred.promise() ) { - throw new TypeError( "Thenable self-resolution" ); - } - - // Support: Promises/A+ sections 2.3.3.1, 3.5 - // https://promisesaplus.com/#point-54 - // https://promisesaplus.com/#point-75 - // Retrieve `then` only once - then = returned && - - // Support: Promises/A+ section 2.3.4 - // https://promisesaplus.com/#point-64 - // Only check objects and functions for thenability - ( typeof returned === "object" || - typeof returned === "function" ) && - returned.then; - - // Handle a returned thenable - if ( isFunction( then ) ) { - - // Special processors (notify) just wait for resolution - if ( special ) { - then.call( - returned, - resolve( maxDepth, deferred, Identity, special ), - resolve( maxDepth, deferred, Thrower, special ) - ); - - // Normal processors (resolve) also hook into progress - } else { - - // ...and disregard older resolution values - maxDepth++; - - then.call( - returned, - resolve( maxDepth, deferred, Identity, special ), - resolve( maxDepth, deferred, Thrower, special ), - resolve( maxDepth, deferred, Identity, - deferred.notifyWith ) - ); - } - - // Handle all other returned values - } else { - - // Only substitute handlers pass on context - // and multiple values (non-spec behavior) - if ( handler !== Identity ) { - that = undefined; - args = [ returned ]; - } - - // Process the value(s) - // Default process is resolve - ( special || deferred.resolveWith )( that, args ); - } - }, - - // Only normal processors (resolve) catch and reject exceptions - process = special ? - mightThrow : - function() { - try { - mightThrow(); - } catch ( e ) { - - if ( jQuery.Deferred.exceptionHook ) { - jQuery.Deferred.exceptionHook( e, - process.stackTrace ); - } - - // Support: Promises/A+ section 2.3.3.3.4.1 - // https://promisesaplus.com/#point-61 - // Ignore post-resolution exceptions - if ( depth + 1 >= maxDepth ) { - - // Only substitute handlers pass on context - // and multiple values (non-spec behavior) - if ( handler !== Thrower ) { - that = undefined; - args = [ e ]; - } - - deferred.rejectWith( that, args ); - } - } - }; - - // Support: Promises/A+ section 2.3.3.3.1 - // https://promisesaplus.com/#point-57 - // Re-resolve promises immediately to dodge false rejection from - // subsequent errors - if ( depth ) { - process(); - } else { - - // Call an optional hook to record the stack, in case of exception - // since it's otherwise lost when execution goes async - if ( jQuery.Deferred.getStackHook ) { - process.stackTrace = jQuery.Deferred.getStackHook(); - } - window.setTimeout( process ); - } - }; - } - - return jQuery.Deferred( function( newDefer ) { - - // progress_handlers.add( ... ) - tuples[ 0 ][ 3 ].add( - resolve( - 0, - newDefer, - isFunction( onProgress ) ? - onProgress : - Identity, - newDefer.notifyWith - ) - ); - - // fulfilled_handlers.add( ... ) - tuples[ 1 ][ 3 ].add( - resolve( - 0, - newDefer, - isFunction( onFulfilled ) ? - onFulfilled : - Identity - ) - ); - - // rejected_handlers.add( ... ) - tuples[ 2 ][ 3 ].add( - resolve( - 0, - newDefer, - isFunction( onRejected ) ? - onRejected : - Thrower - ) - ); - } ).promise(); - }, - - // Get a promise for this deferred - // If obj is provided, the promise aspect is added to the object - promise: function( obj ) { - return obj != null ? jQuery.extend( obj, promise ) : promise; - } - }, - deferred = {}; - - // Add list-specific methods - jQuery.each( tuples, function( i, tuple ) { - var list = tuple[ 2 ], - stateString = tuple[ 5 ]; - - // promise.progress = list.add - // promise.done = list.add - // promise.fail = list.add - promise[ tuple[ 1 ] ] = list.add; - - // Handle state - if ( stateString ) { - list.add( - function() { - - // state = "resolved" (i.e., fulfilled) - // state = "rejected" - state = stateString; - }, - - // rejected_callbacks.disable - // fulfilled_callbacks.disable - tuples[ 3 - i ][ 2 ].disable, - - // rejected_handlers.disable - // fulfilled_handlers.disable - tuples[ 3 - i ][ 3 ].disable, - - // progress_callbacks.lock - tuples[ 0 ][ 2 ].lock, - - // progress_handlers.lock - tuples[ 0 ][ 3 ].lock - ); - } - - // progress_handlers.fire - // fulfilled_handlers.fire - // rejected_handlers.fire - list.add( tuple[ 3 ].fire ); - - // deferred.notify = function() { deferred.notifyWith(...) } - // deferred.resolve = function() { deferred.resolveWith(...) } - // deferred.reject = function() { deferred.rejectWith(...) } - deferred[ tuple[ 0 ] ] = function() { - deferred[ tuple[ 0 ] + "With" ]( this === deferred ? undefined : this, arguments ); - return this; - }; - - // deferred.notifyWith = list.fireWith - // deferred.resolveWith = list.fireWith - // deferred.rejectWith = list.fireWith - deferred[ tuple[ 0 ] + "With" ] = list.fireWith; - } ); - - // Make the deferred a promise - promise.promise( deferred ); - - // Call given func if any - if ( func ) { - func.call( deferred, deferred ); - } - - // All done! - return deferred; - }, - - // Deferred helper - when: function( singleValue ) { - var - - // count of uncompleted subordinates - remaining = arguments.length, - - // count of unprocessed arguments - i = remaining, - - // subordinate fulfillment data - resolveContexts = Array( i ), - resolveValues = slice.call( arguments ), - - // the primary Deferred - primary = jQuery.Deferred(), - - // subordinate callback factory - updateFunc = function( i ) { - return function( value ) { - resolveContexts[ i ] = this; - resolveValues[ i ] = arguments.length > 1 ? slice.call( arguments ) : value; - if ( !( --remaining ) ) { - primary.resolveWith( resolveContexts, resolveValues ); - } - }; - }; - - // Single- and empty arguments are adopted like Promise.resolve - if ( remaining <= 1 ) { - adoptValue( singleValue, primary.done( updateFunc( i ) ).resolve, primary.reject, - !remaining ); - - // Use .then() to unwrap secondary thenables (cf. gh-3000) - if ( primary.state() === "pending" || - isFunction( resolveValues[ i ] && resolveValues[ i ].then ) ) { - - return primary.then(); - } - } - - // Multiple arguments are aggregated like Promise.all array elements - while ( i-- ) { - adoptValue( resolveValues[ i ], updateFunc( i ), primary.reject ); - } - - return primary.promise(); - } -} ); - - -// These usually indicate a programmer mistake during development, -// warn about them ASAP rather than swallowing them by default. -var rerrorNames = /^(Eval|Internal|Range|Reference|Syntax|Type|URI)Error$/; - -jQuery.Deferred.exceptionHook = function( error, stack ) { - - // Support: IE 8 - 9 only - // Console exists when dev tools are open, which can happen at any time - if ( window.console && window.console.warn && error && rerrorNames.test( error.name ) ) { - window.console.warn( "jQuery.Deferred exception: " + error.message, error.stack, stack ); - } -}; - - - - -jQuery.readyException = function( error ) { - window.setTimeout( function() { - throw error; - } ); -}; - - - - -// The deferred used on DOM ready -var readyList = jQuery.Deferred(); - -jQuery.fn.ready = function( fn ) { - - readyList - .then( fn ) - - // Wrap jQuery.readyException in a function so that the lookup - // happens at the time of error handling instead of callback - // registration. - .catch( function( error ) { - jQuery.readyException( error ); - } ); - - return this; -}; - -jQuery.extend( { - - // Is the DOM ready to be used? Set to true once it occurs. - isReady: false, - - // A counter to track how many items to wait for before - // the ready event fires. See #6781 - readyWait: 1, - - // Handle when the DOM is ready - ready: function( wait ) { - - // Abort if there are pending holds or we're already ready - if ( wait === true ? --jQuery.readyWait : jQuery.isReady ) { - return; - } - - // Remember that the DOM is ready - jQuery.isReady = true; - - // If a normal DOM Ready event fired, decrement, and wait if need be - if ( wait !== true && --jQuery.readyWait > 0 ) { - return; - } - - // If there are functions bound, to execute - readyList.resolveWith( document, [ jQuery ] ); - } -} ); - -jQuery.ready.then = readyList.then; - -// The ready event handler and self cleanup method -function completed() { - document.removeEventListener( "DOMContentLoaded", completed ); - window.removeEventListener( "load", completed ); - jQuery.ready(); -} - -// Catch cases where $(document).ready() is called -// after the browser event has already occurred. -// Support: IE <=9 - 10 only -// Older IE sometimes signals "interactive" too soon -if ( document.readyState === "complete" || - ( document.readyState !== "loading" && !document.documentElement.doScroll ) ) { - - // Handle it asynchronously to allow scripts the opportunity to delay ready - window.setTimeout( jQuery.ready ); - -} else { - - // Use the handy event callback - document.addEventListener( "DOMContentLoaded", completed ); - - // A fallback to window.onload, that will always work - window.addEventListener( "load", completed ); -} - - - - -// Multifunctional method to get and set values of a collection -// The value/s can optionally be executed if it's a function -var access = function( elems, fn, key, value, chainable, emptyGet, raw ) { - var i = 0, - len = elems.length, - bulk = key == null; - - // Sets many values - if ( toType( key ) === "object" ) { - chainable = true; - for ( i in key ) { - access( elems, fn, i, key[ i ], true, emptyGet, raw ); - } - - // Sets one value - } else if ( value !== undefined ) { - chainable = true; - - if ( !isFunction( value ) ) { - raw = true; - } - - if ( bulk ) { - - // Bulk operations run against the entire set - if ( raw ) { - fn.call( elems, value ); - fn = null; - - // ...except when executing function values - } else { - bulk = fn; - fn = function( elem, _key, value ) { - return bulk.call( jQuery( elem ), value ); - }; - } - } - - if ( fn ) { - for ( ; i < len; i++ ) { - fn( - elems[ i ], key, raw ? - value : - value.call( elems[ i ], i, fn( elems[ i ], key ) ) - ); - } - } - } - - if ( chainable ) { - return elems; - } - - // Gets - if ( bulk ) { - return fn.call( elems ); - } - - return len ? fn( elems[ 0 ], key ) : emptyGet; -}; - - -// Matches dashed string for camelizing -var rmsPrefix = /^-ms-/, - rdashAlpha = /-([a-z])/g; - -// Used by camelCase as callback to replace() -function fcamelCase( _all, letter ) { - return letter.toUpperCase(); -} - -// Convert dashed to camelCase; used by the css and data modules -// Support: IE <=9 - 11, Edge 12 - 15 -// Microsoft forgot to hump their vendor prefix (#9572) -function camelCase( string ) { - return string.replace( rmsPrefix, "ms-" ).replace( rdashAlpha, fcamelCase ); -} -var acceptData = function( owner ) { - - // Accepts only: - // - Node - // - Node.ELEMENT_NODE - // - Node.DOCUMENT_NODE - // - Object - // - Any - return owner.nodeType === 1 || owner.nodeType === 9 || !( +owner.nodeType ); -}; - - - - -function Data() { - this.expando = jQuery.expando + Data.uid++; -} - -Data.uid = 1; - -Data.prototype = { - - cache: function( owner ) { - - // Check if the owner object already has a cache - var value = owner[ this.expando ]; - - // If not, create one - if ( !value ) { - value = {}; - - // We can accept data for non-element nodes in modern browsers, - // but we should not, see #8335. - // Always return an empty object. - if ( acceptData( owner ) ) { - - // If it is a node unlikely to be stringify-ed or looped over - // use plain assignment - if ( owner.nodeType ) { - owner[ this.expando ] = value; - - // Otherwise secure it in a non-enumerable property - // configurable must be true to allow the property to be - // deleted when data is removed - } else { - Object.defineProperty( owner, this.expando, { - value: value, - configurable: true - } ); - } - } - } - - return value; - }, - set: function( owner, data, value ) { - var prop, - cache = this.cache( owner ); - - // Handle: [ owner, key, value ] args - // Always use camelCase key (gh-2257) - if ( typeof data === "string" ) { - cache[ camelCase( data ) ] = value; - - // Handle: [ owner, { properties } ] args - } else { - - // Copy the properties one-by-one to the cache object - for ( prop in data ) { - cache[ camelCase( prop ) ] = data[ prop ]; - } - } - return cache; - }, - get: function( owner, key ) { - return key === undefined ? - this.cache( owner ) : - - // Always use camelCase key (gh-2257) - owner[ this.expando ] && owner[ this.expando ][ camelCase( key ) ]; - }, - access: function( owner, key, value ) { - - // In cases where either: - // - // 1. No key was specified - // 2. A string key was specified, but no value provided - // - // Take the "read" path and allow the get method to determine - // which value to return, respectively either: - // - // 1. The entire cache object - // 2. The data stored at the key - // - if ( key === undefined || - ( ( key && typeof key === "string" ) && value === undefined ) ) { - - return this.get( owner, key ); - } - - // When the key is not a string, or both a key and value - // are specified, set or extend (existing objects) with either: - // - // 1. An object of properties - // 2. A key and value - // - this.set( owner, key, value ); - - // Since the "set" path can have two possible entry points - // return the expected data based on which path was taken[*] - return value !== undefined ? value : key; - }, - remove: function( owner, key ) { - var i, - cache = owner[ this.expando ]; - - if ( cache === undefined ) { - return; - } - - if ( key !== undefined ) { - - // Support array or space separated string of keys - if ( Array.isArray( key ) ) { - - // If key is an array of keys... - // We always set camelCase keys, so remove that. - key = key.map( camelCase ); - } else { - key = camelCase( key ); - - // If a key with the spaces exists, use it. - // Otherwise, create an array by matching non-whitespace - key = key in cache ? - [ key ] : - ( key.match( rnothtmlwhite ) || [] ); - } - - i = key.length; - - while ( i-- ) { - delete cache[ key[ i ] ]; - } - } - - // Remove the expando if there's no more data - if ( key === undefined || jQuery.isEmptyObject( cache ) ) { - - // Support: Chrome <=35 - 45 - // Webkit & Blink performance suffers when deleting properties - // from DOM nodes, so set to undefined instead - // https://bugs.chromium.org/p/chromium/issues/detail?id=378607 (bug restricted) - if ( owner.nodeType ) { - owner[ this.expando ] = undefined; - } else { - delete owner[ this.expando ]; - } - } - }, - hasData: function( owner ) { - var cache = owner[ this.expando ]; - return cache !== undefined && !jQuery.isEmptyObject( cache ); - } -}; -var dataPriv = new Data(); - -var dataUser = new Data(); - - - -// Implementation Summary -// -// 1. Enforce API surface and semantic compatibility with 1.9.x branch -// 2. Improve the module's maintainability by reducing the storage -// paths to a single mechanism. -// 3. Use the same single mechanism to support "private" and "user" data. -// 4. _Never_ expose "private" data to user code (TODO: Drop _data, _removeData) -// 5. Avoid exposing implementation details on user objects (eg. expando properties) -// 6. Provide a clear path for implementation upgrade to WeakMap in 2014 - -var rbrace = /^(?:\{[\w\W]*\}|\[[\w\W]*\])$/, - rmultiDash = /[A-Z]/g; - -function getData( data ) { - if ( data === "true" ) { - return true; - } - - if ( data === "false" ) { - return false; - } - - if ( data === "null" ) { - return null; - } - - // Only convert to a number if it doesn't change the string - if ( data === +data + "" ) { - return +data; - } - - if ( rbrace.test( data ) ) { - return JSON.parse( data ); - } - - return data; -} - -function dataAttr( elem, key, data ) { - var name; - - // If nothing was found internally, try to fetch any - // data from the HTML5 data-* attribute - if ( data === undefined && elem.nodeType === 1 ) { - name = "data-" + key.replace( rmultiDash, "-$&" ).toLowerCase(); - data = elem.getAttribute( name ); - - if ( typeof data === "string" ) { - try { - data = getData( data ); - } catch ( e ) {} - - // Make sure we set the data so it isn't changed later - dataUser.set( elem, key, data ); - } else { - data = undefined; - } - } - return data; -} - -jQuery.extend( { - hasData: function( elem ) { - return dataUser.hasData( elem ) || dataPriv.hasData( elem ); - }, - - data: function( elem, name, data ) { - return dataUser.access( elem, name, data ); - }, - - removeData: function( elem, name ) { - dataUser.remove( elem, name ); - }, - - // TODO: Now that all calls to _data and _removeData have been replaced - // with direct calls to dataPriv methods, these can be deprecated. - _data: function( elem, name, data ) { - return dataPriv.access( elem, name, data ); - }, - - _removeData: function( elem, name ) { - dataPriv.remove( elem, name ); - } -} ); - -jQuery.fn.extend( { - data: function( key, value ) { - var i, name, data, - elem = this[ 0 ], - attrs = elem && elem.attributes; - - // Gets all values - if ( key === undefined ) { - if ( this.length ) { - data = dataUser.get( elem ); - - if ( elem.nodeType === 1 && !dataPriv.get( elem, "hasDataAttrs" ) ) { - i = attrs.length; - while ( i-- ) { - - // Support: IE 11 only - // The attrs elements can be null (#14894) - if ( attrs[ i ] ) { - name = attrs[ i ].name; - if ( name.indexOf( "data-" ) === 0 ) { - name = camelCase( name.slice( 5 ) ); - dataAttr( elem, name, data[ name ] ); - } - } - } - dataPriv.set( elem, "hasDataAttrs", true ); - } - } - - return data; - } - - // Sets multiple values - if ( typeof key === "object" ) { - return this.each( function() { - dataUser.set( this, key ); - } ); - } - - return access( this, function( value ) { - var data; - - // The calling jQuery object (element matches) is not empty - // (and therefore has an element appears at this[ 0 ]) and the - // `value` parameter was not undefined. An empty jQuery object - // will result in `undefined` for elem = this[ 0 ] which will - // throw an exception if an attempt to read a data cache is made. - if ( elem && value === undefined ) { - - // Attempt to get data from the cache - // The key will always be camelCased in Data - data = dataUser.get( elem, key ); - if ( data !== undefined ) { - return data; - } - - // Attempt to "discover" the data in - // HTML5 custom data-* attrs - data = dataAttr( elem, key ); - if ( data !== undefined ) { - return data; - } - - // We tried really hard, but the data doesn't exist. - return; - } - - // Set the data... - this.each( function() { - - // We always store the camelCased key - dataUser.set( this, key, value ); - } ); - }, null, value, arguments.length > 1, null, true ); - }, - - removeData: function( key ) { - return this.each( function() { - dataUser.remove( this, key ); - } ); - } -} ); - - -jQuery.extend( { - queue: function( elem, type, data ) { - var queue; - - if ( elem ) { - type = ( type || "fx" ) + "queue"; - queue = dataPriv.get( elem, type ); - - // Speed up dequeue by getting out quickly if this is just a lookup - if ( data ) { - if ( !queue || Array.isArray( data ) ) { - queue = dataPriv.access( elem, type, jQuery.makeArray( data ) ); - } else { - queue.push( data ); - } - } - return queue || []; - } - }, - - dequeue: function( elem, type ) { - type = type || "fx"; - - var queue = jQuery.queue( elem, type ), - startLength = queue.length, - fn = queue.shift(), - hooks = jQuery._queueHooks( elem, type ), - next = function() { - jQuery.dequeue( elem, type ); - }; - - // If the fx queue is dequeued, always remove the progress sentinel - if ( fn === "inprogress" ) { - fn = queue.shift(); - startLength--; - } - - if ( fn ) { - - // Add a progress sentinel to prevent the fx queue from being - // automatically dequeued - if ( type === "fx" ) { - queue.unshift( "inprogress" ); - } - - // Clear up the last queue stop function - delete hooks.stop; - fn.call( elem, next, hooks ); - } - - if ( !startLength && hooks ) { - hooks.empty.fire(); - } - }, - - // Not public - generate a queueHooks object, or return the current one - _queueHooks: function( elem, type ) { - var key = type + "queueHooks"; - return dataPriv.get( elem, key ) || dataPriv.access( elem, key, { - empty: jQuery.Callbacks( "once memory" ).add( function() { - dataPriv.remove( elem, [ type + "queue", key ] ); - } ) - } ); - } -} ); - -jQuery.fn.extend( { - queue: function( type, data ) { - var setter = 2; - - if ( typeof type !== "string" ) { - data = type; - type = "fx"; - setter--; - } - - if ( arguments.length < setter ) { - return jQuery.queue( this[ 0 ], type ); - } - - return data === undefined ? - this : - this.each( function() { - var queue = jQuery.queue( this, type, data ); - - // Ensure a hooks for this queue - jQuery._queueHooks( this, type ); - - if ( type === "fx" && queue[ 0 ] !== "inprogress" ) { - jQuery.dequeue( this, type ); - } - } ); - }, - dequeue: function( type ) { - return this.each( function() { - jQuery.dequeue( this, type ); - } ); - }, - clearQueue: function( type ) { - return this.queue( type || "fx", [] ); - }, - - // Get a promise resolved when queues of a certain type - // are emptied (fx is the type by default) - promise: function( type, obj ) { - var tmp, - count = 1, - defer = jQuery.Deferred(), - elements = this, - i = this.length, - resolve = function() { - if ( !( --count ) ) { - defer.resolveWith( elements, [ elements ] ); - } - }; - - if ( typeof type !== "string" ) { - obj = type; - type = undefined; - } - type = type || "fx"; - - while ( i-- ) { - tmp = dataPriv.get( elements[ i ], type + "queueHooks" ); - if ( tmp && tmp.empty ) { - count++; - tmp.empty.add( resolve ); - } - } - resolve(); - return defer.promise( obj ); - } -} ); -var pnum = ( /[+-]?(?:\d*\.|)\d+(?:[eE][+-]?\d+|)/ ).source; - -var rcssNum = new RegExp( "^(?:([+-])=|)(" + pnum + ")([a-z%]*)$", "i" ); - - -var cssExpand = [ "Top", "Right", "Bottom", "Left" ]; - -var documentElement = document.documentElement; - - - - var isAttached = function( elem ) { - return jQuery.contains( elem.ownerDocument, elem ); - }, - composed = { composed: true }; - - // Support: IE 9 - 11+, Edge 12 - 18+, iOS 10.0 - 10.2 only - // Check attachment across shadow DOM boundaries when possible (gh-3504) - // Support: iOS 10.0-10.2 only - // Early iOS 10 versions support `attachShadow` but not `getRootNode`, - // leading to errors. We need to check for `getRootNode`. - if ( documentElement.getRootNode ) { - isAttached = function( elem ) { - return jQuery.contains( elem.ownerDocument, elem ) || - elem.getRootNode( composed ) === elem.ownerDocument; - }; - } -var isHiddenWithinTree = function( elem, el ) { - - // isHiddenWithinTree might be called from jQuery#filter function; - // in that case, element will be second argument - elem = el || elem; - - // Inline style trumps all - return elem.style.display === "none" || - elem.style.display === "" && - - // Otherwise, check computed style - // Support: Firefox <=43 - 45 - // Disconnected elements can have computed display: none, so first confirm that elem is - // in the document. - isAttached( elem ) && - - jQuery.css( elem, "display" ) === "none"; - }; - - - -function adjustCSS( elem, prop, valueParts, tween ) { - var adjusted, scale, - maxIterations = 20, - currentValue = tween ? - function() { - return tween.cur(); - } : - function() { - return jQuery.css( elem, prop, "" ); - }, - initial = currentValue(), - unit = valueParts && valueParts[ 3 ] || ( jQuery.cssNumber[ prop ] ? "" : "px" ), - - // Starting value computation is required for potential unit mismatches - initialInUnit = elem.nodeType && - ( jQuery.cssNumber[ prop ] || unit !== "px" && +initial ) && - rcssNum.exec( jQuery.css( elem, prop ) ); - - if ( initialInUnit && initialInUnit[ 3 ] !== unit ) { - - // Support: Firefox <=54 - // Halve the iteration target value to prevent interference from CSS upper bounds (gh-2144) - initial = initial / 2; - - // Trust units reported by jQuery.css - unit = unit || initialInUnit[ 3 ]; - - // Iteratively approximate from a nonzero starting point - initialInUnit = +initial || 1; - - while ( maxIterations-- ) { - - // Evaluate and update our best guess (doubling guesses that zero out). - // Finish if the scale equals or crosses 1 (making the old*new product non-positive). - jQuery.style( elem, prop, initialInUnit + unit ); - if ( ( 1 - scale ) * ( 1 - ( scale = currentValue() / initial || 0.5 ) ) <= 0 ) { - maxIterations = 0; - } - initialInUnit = initialInUnit / scale; - - } - - initialInUnit = initialInUnit * 2; - jQuery.style( elem, prop, initialInUnit + unit ); - - // Make sure we update the tween properties later on - valueParts = valueParts || []; - } - - if ( valueParts ) { - initialInUnit = +initialInUnit || +initial || 0; - - // Apply relative offset (+=/-=) if specified - adjusted = valueParts[ 1 ] ? - initialInUnit + ( valueParts[ 1 ] + 1 ) * valueParts[ 2 ] : - +valueParts[ 2 ]; - if ( tween ) { - tween.unit = unit; - tween.start = initialInUnit; - tween.end = adjusted; - } - } - return adjusted; -} - - -var defaultDisplayMap = {}; - -function getDefaultDisplay( elem ) { - var temp, - doc = elem.ownerDocument, - nodeName = elem.nodeName, - display = defaultDisplayMap[ nodeName ]; - - if ( display ) { - return display; - } - - temp = doc.body.appendChild( doc.createElement( nodeName ) ); - display = jQuery.css( temp, "display" ); - - temp.parentNode.removeChild( temp ); - - if ( display === "none" ) { - display = "block"; - } - defaultDisplayMap[ nodeName ] = display; - - return display; -} - -function showHide( elements, show ) { - var display, elem, - values = [], - index = 0, - length = elements.length; - - // Determine new display value for elements that need to change - for ( ; index < length; index++ ) { - elem = elements[ index ]; - if ( !elem.style ) { - continue; - } - - display = elem.style.display; - if ( show ) { - - // Since we force visibility upon cascade-hidden elements, an immediate (and slow) - // check is required in this first loop unless we have a nonempty display value (either - // inline or about-to-be-restored) - if ( display === "none" ) { - values[ index ] = dataPriv.get( elem, "display" ) || null; - if ( !values[ index ] ) { - elem.style.display = ""; - } - } - if ( elem.style.display === "" && isHiddenWithinTree( elem ) ) { - values[ index ] = getDefaultDisplay( elem ); - } - } else { - if ( display !== "none" ) { - values[ index ] = "none"; - - // Remember what we're overwriting - dataPriv.set( elem, "display", display ); - } - } - } - - // Set the display of the elements in a second loop to avoid constant reflow - for ( index = 0; index < length; index++ ) { - if ( values[ index ] != null ) { - elements[ index ].style.display = values[ index ]; - } - } - - return elements; -} - -jQuery.fn.extend( { - show: function() { - return showHide( this, true ); - }, - hide: function() { - return showHide( this ); - }, - toggle: function( state ) { - if ( typeof state === "boolean" ) { - return state ? this.show() : this.hide(); - } - - return this.each( function() { - if ( isHiddenWithinTree( this ) ) { - jQuery( this ).show(); - } else { - jQuery( this ).hide(); - } - } ); - } -} ); -var rcheckableType = ( /^(?:checkbox|radio)$/i ); - -var rtagName = ( /<([a-z][^\/\0>\x20\t\r\n\f]*)/i ); - -var rscriptType = ( /^$|^module$|\/(?:java|ecma)script/i ); - - - -( function() { - var fragment = document.createDocumentFragment(), - div = fragment.appendChild( document.createElement( "div" ) ), - input = document.createElement( "input" ); - - // Support: Android 4.0 - 4.3 only - // Check state lost if the name is set (#11217) - // Support: Windows Web Apps (WWA) - // `name` and `type` must use .setAttribute for WWA (#14901) - input.setAttribute( "type", "radio" ); - input.setAttribute( "checked", "checked" ); - input.setAttribute( "name", "t" ); - - div.appendChild( input ); - - // Support: Android <=4.1 only - // Older WebKit doesn't clone checked state correctly in fragments - support.checkClone = div.cloneNode( true ).cloneNode( true ).lastChild.checked; - - // Support: IE <=11 only - // Make sure textarea (and checkbox) defaultValue is properly cloned - div.innerHTML = ""; - support.noCloneChecked = !!div.cloneNode( true ).lastChild.defaultValue; - - // Support: IE <=9 only - // IE <=9 replaces "; - support.option = !!div.lastChild; -} )(); - - -// We have to close these tags to support XHTML (#13200) -var wrapMap = { - - // XHTML parsers do not magically insert elements in the - // same way that tag soup parsers do. So we cannot shorten - // this by omitting or other required elements. - thead: [ 1, "", "
    " ], - col: [ 2, "", "
    " ], - tr: [ 2, "", "
    " ], - td: [ 3, "", "
    " ], - - _default: [ 0, "", "" ] -}; - -wrapMap.tbody = wrapMap.tfoot = wrapMap.colgroup = wrapMap.caption = wrapMap.thead; -wrapMap.th = wrapMap.td; - -// Support: IE <=9 only -if ( !support.option ) { - wrapMap.optgroup = wrapMap.option = [ 1, "" ]; -} - - -function getAll( context, tag ) { - - // Support: IE <=9 - 11 only - // Use typeof to avoid zero-argument method invocation on host objects (#15151) - var ret; - - if ( typeof context.getElementsByTagName !== "undefined" ) { - ret = context.getElementsByTagName( tag || "*" ); - - } else if ( typeof context.querySelectorAll !== "undefined" ) { - ret = context.querySelectorAll( tag || "*" ); - - } else { - ret = []; - } - - if ( tag === undefined || tag && nodeName( context, tag ) ) { - return jQuery.merge( [ context ], ret ); - } - - return ret; -} - - -// Mark scripts as having already been evaluated -function setGlobalEval( elems, refElements ) { - var i = 0, - l = elems.length; - - for ( ; i < l; i++ ) { - dataPriv.set( - elems[ i ], - "globalEval", - !refElements || dataPriv.get( refElements[ i ], "globalEval" ) - ); - } -} - - -var rhtml = /<|&#?\w+;/; - -function buildFragment( elems, context, scripts, selection, ignored ) { - var elem, tmp, tag, wrap, attached, j, - fragment = context.createDocumentFragment(), - nodes = [], - i = 0, - l = elems.length; - - for ( ; i < l; i++ ) { - elem = elems[ i ]; - - if ( elem || elem === 0 ) { - - // Add nodes directly - if ( toType( elem ) === "object" ) { - - // Support: Android <=4.0 only, PhantomJS 1 only - // push.apply(_, arraylike) throws on ancient WebKit - jQuery.merge( nodes, elem.nodeType ? [ elem ] : elem ); - - // Convert non-html into a text node - } else if ( !rhtml.test( elem ) ) { - nodes.push( context.createTextNode( elem ) ); - - // Convert html into DOM nodes - } else { - tmp = tmp || fragment.appendChild( context.createElement( "div" ) ); - - // Deserialize a standard representation - tag = ( rtagName.exec( elem ) || [ "", "" ] )[ 1 ].toLowerCase(); - wrap = wrapMap[ tag ] || wrapMap._default; - tmp.innerHTML = wrap[ 1 ] + jQuery.htmlPrefilter( elem ) + wrap[ 2 ]; - - // Descend through wrappers to the right content - j = wrap[ 0 ]; - while ( j-- ) { - tmp = tmp.lastChild; - } - - // Support: Android <=4.0 only, PhantomJS 1 only - // push.apply(_, arraylike) throws on ancient WebKit - jQuery.merge( nodes, tmp.childNodes ); - - // Remember the top-level container - tmp = fragment.firstChild; - - // Ensure the created nodes are orphaned (#12392) - tmp.textContent = ""; - } - } - } - - // Remove wrapper from fragment - fragment.textContent = ""; - - i = 0; - while ( ( elem = nodes[ i++ ] ) ) { - - // Skip elements already in the context collection (trac-4087) - if ( selection && jQuery.inArray( elem, selection ) > -1 ) { - if ( ignored ) { - ignored.push( elem ); - } - continue; - } - - attached = isAttached( elem ); - - // Append to fragment - tmp = getAll( fragment.appendChild( elem ), "script" ); - - // Preserve script evaluation history - if ( attached ) { - setGlobalEval( tmp ); - } - - // Capture executables - if ( scripts ) { - j = 0; - while ( ( elem = tmp[ j++ ] ) ) { - if ( rscriptType.test( elem.type || "" ) ) { - scripts.push( elem ); - } - } - } - } - - return fragment; -} - - -var rtypenamespace = /^([^.]*)(?:\.(.+)|)/; - -function returnTrue() { - return true; -} - -function returnFalse() { - return false; -} - -// Support: IE <=9 - 11+ -// focus() and blur() are asynchronous, except when they are no-op. -// So expect focus to be synchronous when the element is already active, -// and blur to be synchronous when the element is not already active. -// (focus and blur are always synchronous in other supported browsers, -// this just defines when we can count on it). -function expectSync( elem, type ) { - return ( elem === safeActiveElement() ) === ( type === "focus" ); -} - -// Support: IE <=9 only -// Accessing document.activeElement can throw unexpectedly -// https://bugs.jquery.com/ticket/13393 -function safeActiveElement() { - try { - return document.activeElement; - } catch ( err ) { } -} - -function on( elem, types, selector, data, fn, one ) { - var origFn, type; - - // Types can be a map of types/handlers - if ( typeof types === "object" ) { - - // ( types-Object, selector, data ) - if ( typeof selector !== "string" ) { - - // ( types-Object, data ) - data = data || selector; - selector = undefined; - } - for ( type in types ) { - on( elem, type, selector, data, types[ type ], one ); - } - return elem; - } - - if ( data == null && fn == null ) { - - // ( types, fn ) - fn = selector; - data = selector = undefined; - } else if ( fn == null ) { - if ( typeof selector === "string" ) { - - // ( types, selector, fn ) - fn = data; - data = undefined; - } else { - - // ( types, data, fn ) - fn = data; - data = selector; - selector = undefined; - } - } - if ( fn === false ) { - fn = returnFalse; - } else if ( !fn ) { - return elem; - } - - if ( one === 1 ) { - origFn = fn; - fn = function( event ) { - - // Can use an empty set, since event contains the info - jQuery().off( event ); - return origFn.apply( this, arguments ); - }; - - // Use same guid so caller can remove using origFn - fn.guid = origFn.guid || ( origFn.guid = jQuery.guid++ ); - } - return elem.each( function() { - jQuery.event.add( this, types, fn, data, selector ); - } ); -} - -/* - * Helper functions for managing events -- not part of the public interface. - * Props to Dean Edwards' addEvent library for many of the ideas. - */ -jQuery.event = { - - global: {}, - - add: function( elem, types, handler, data, selector ) { - - var handleObjIn, eventHandle, tmp, - events, t, handleObj, - special, handlers, type, namespaces, origType, - elemData = dataPriv.get( elem ); - - // Only attach events to objects that accept data - if ( !acceptData( elem ) ) { - return; - } - - // Caller can pass in an object of custom data in lieu of the handler - if ( handler.handler ) { - handleObjIn = handler; - handler = handleObjIn.handler; - selector = handleObjIn.selector; - } - - // Ensure that invalid selectors throw exceptions at attach time - // Evaluate against documentElement in case elem is a non-element node (e.g., document) - if ( selector ) { - jQuery.find.matchesSelector( documentElement, selector ); - } - - // Make sure that the handler has a unique ID, used to find/remove it later - if ( !handler.guid ) { - handler.guid = jQuery.guid++; - } - - // Init the element's event structure and main handler, if this is the first - if ( !( events = elemData.events ) ) { - events = elemData.events = Object.create( null ); - } - if ( !( eventHandle = elemData.handle ) ) { - eventHandle = elemData.handle = function( e ) { - - // Discard the second event of a jQuery.event.trigger() and - // when an event is called after a page has unloaded - return typeof jQuery !== "undefined" && jQuery.event.triggered !== e.type ? - jQuery.event.dispatch.apply( elem, arguments ) : undefined; - }; - } - - // Handle multiple events separated by a space - types = ( types || "" ).match( rnothtmlwhite ) || [ "" ]; - t = types.length; - while ( t-- ) { - tmp = rtypenamespace.exec( types[ t ] ) || []; - type = origType = tmp[ 1 ]; - namespaces = ( tmp[ 2 ] || "" ).split( "." ).sort(); - - // There *must* be a type, no attaching namespace-only handlers - if ( !type ) { - continue; - } - - // If event changes its type, use the special event handlers for the changed type - special = jQuery.event.special[ type ] || {}; - - // If selector defined, determine special event api type, otherwise given type - type = ( selector ? special.delegateType : special.bindType ) || type; - - // Update special based on newly reset type - special = jQuery.event.special[ type ] || {}; - - // handleObj is passed to all event handlers - handleObj = jQuery.extend( { - type: type, - origType: origType, - data: data, - handler: handler, - guid: handler.guid, - selector: selector, - needsContext: selector && jQuery.expr.match.needsContext.test( selector ), - namespace: namespaces.join( "." ) - }, handleObjIn ); - - // Init the event handler queue if we're the first - if ( !( handlers = events[ type ] ) ) { - handlers = events[ type ] = []; - handlers.delegateCount = 0; - - // Only use addEventListener if the special events handler returns false - if ( !special.setup || - special.setup.call( elem, data, namespaces, eventHandle ) === false ) { - - if ( elem.addEventListener ) { - elem.addEventListener( type, eventHandle ); - } - } - } - - if ( special.add ) { - special.add.call( elem, handleObj ); - - if ( !handleObj.handler.guid ) { - handleObj.handler.guid = handler.guid; - } - } - - // Add to the element's handler list, delegates in front - if ( selector ) { - handlers.splice( handlers.delegateCount++, 0, handleObj ); - } else { - handlers.push( handleObj ); - } - - // Keep track of which events have ever been used, for event optimization - jQuery.event.global[ type ] = true; - } - - }, - - // Detach an event or set of events from an element - remove: function( elem, types, handler, selector, mappedTypes ) { - - var j, origCount, tmp, - events, t, handleObj, - special, handlers, type, namespaces, origType, - elemData = dataPriv.hasData( elem ) && dataPriv.get( elem ); - - if ( !elemData || !( events = elemData.events ) ) { - return; - } - - // Once for each type.namespace in types; type may be omitted - types = ( types || "" ).match( rnothtmlwhite ) || [ "" ]; - t = types.length; - while ( t-- ) { - tmp = rtypenamespace.exec( types[ t ] ) || []; - type = origType = tmp[ 1 ]; - namespaces = ( tmp[ 2 ] || "" ).split( "." ).sort(); - - // Unbind all events (on this namespace, if provided) for the element - if ( !type ) { - for ( type in events ) { - jQuery.event.remove( elem, type + types[ t ], handler, selector, true ); - } - continue; - } - - special = jQuery.event.special[ type ] || {}; - type = ( selector ? special.delegateType : special.bindType ) || type; - handlers = events[ type ] || []; - tmp = tmp[ 2 ] && - new RegExp( "(^|\\.)" + namespaces.join( "\\.(?:.*\\.|)" ) + "(\\.|$)" ); - - // Remove matching events - origCount = j = handlers.length; - while ( j-- ) { - handleObj = handlers[ j ]; - - if ( ( mappedTypes || origType === handleObj.origType ) && - ( !handler || handler.guid === handleObj.guid ) && - ( !tmp || tmp.test( handleObj.namespace ) ) && - ( !selector || selector === handleObj.selector || - selector === "**" && handleObj.selector ) ) { - handlers.splice( j, 1 ); - - if ( handleObj.selector ) { - handlers.delegateCount--; - } - if ( special.remove ) { - special.remove.call( elem, handleObj ); - } - } - } - - // Remove generic event handler if we removed something and no more handlers exist - // (avoids potential for endless recursion during removal of special event handlers) - if ( origCount && !handlers.length ) { - if ( !special.teardown || - special.teardown.call( elem, namespaces, elemData.handle ) === false ) { - - jQuery.removeEvent( elem, type, elemData.handle ); - } - - delete events[ type ]; - } - } - - // Remove data and the expando if it's no longer used - if ( jQuery.isEmptyObject( events ) ) { - dataPriv.remove( elem, "handle events" ); - } - }, - - dispatch: function( nativeEvent ) { - - var i, j, ret, matched, handleObj, handlerQueue, - args = new Array( arguments.length ), - - // Make a writable jQuery.Event from the native event object - event = jQuery.event.fix( nativeEvent ), - - handlers = ( - dataPriv.get( this, "events" ) || Object.create( null ) - )[ event.type ] || [], - special = jQuery.event.special[ event.type ] || {}; - - // Use the fix-ed jQuery.Event rather than the (read-only) native event - args[ 0 ] = event; - - for ( i = 1; i < arguments.length; i++ ) { - args[ i ] = arguments[ i ]; - } - - event.delegateTarget = this; - - // Call the preDispatch hook for the mapped type, and let it bail if desired - if ( special.preDispatch && special.preDispatch.call( this, event ) === false ) { - return; - } - - // Determine handlers - handlerQueue = jQuery.event.handlers.call( this, event, handlers ); - - // Run delegates first; they may want to stop propagation beneath us - i = 0; - while ( ( matched = handlerQueue[ i++ ] ) && !event.isPropagationStopped() ) { - event.currentTarget = matched.elem; - - j = 0; - while ( ( handleObj = matched.handlers[ j++ ] ) && - !event.isImmediatePropagationStopped() ) { - - // If the event is namespaced, then each handler is only invoked if it is - // specially universal or its namespaces are a superset of the event's. - if ( !event.rnamespace || handleObj.namespace === false || - event.rnamespace.test( handleObj.namespace ) ) { - - event.handleObj = handleObj; - event.data = handleObj.data; - - ret = ( ( jQuery.event.special[ handleObj.origType ] || {} ).handle || - handleObj.handler ).apply( matched.elem, args ); - - if ( ret !== undefined ) { - if ( ( event.result = ret ) === false ) { - event.preventDefault(); - event.stopPropagation(); - } - } - } - } - } - - // Call the postDispatch hook for the mapped type - if ( special.postDispatch ) { - special.postDispatch.call( this, event ); - } - - return event.result; - }, - - handlers: function( event, handlers ) { - var i, handleObj, sel, matchedHandlers, matchedSelectors, - handlerQueue = [], - delegateCount = handlers.delegateCount, - cur = event.target; - - // Find delegate handlers - if ( delegateCount && - - // Support: IE <=9 - // Black-hole SVG instance trees (trac-13180) - cur.nodeType && - - // Support: Firefox <=42 - // Suppress spec-violating clicks indicating a non-primary pointer button (trac-3861) - // https://www.w3.org/TR/DOM-Level-3-Events/#event-type-click - // Support: IE 11 only - // ...but not arrow key "clicks" of radio inputs, which can have `button` -1 (gh-2343) - !( event.type === "click" && event.button >= 1 ) ) { - - for ( ; cur !== this; cur = cur.parentNode || this ) { - - // Don't check non-elements (#13208) - // Don't process clicks on disabled elements (#6911, #8165, #11382, #11764) - if ( cur.nodeType === 1 && !( event.type === "click" && cur.disabled === true ) ) { - matchedHandlers = []; - matchedSelectors = {}; - for ( i = 0; i < delegateCount; i++ ) { - handleObj = handlers[ i ]; - - // Don't conflict with Object.prototype properties (#13203) - sel = handleObj.selector + " "; - - if ( matchedSelectors[ sel ] === undefined ) { - matchedSelectors[ sel ] = handleObj.needsContext ? - jQuery( sel, this ).index( cur ) > -1 : - jQuery.find( sel, this, null, [ cur ] ).length; - } - if ( matchedSelectors[ sel ] ) { - matchedHandlers.push( handleObj ); - } - } - if ( matchedHandlers.length ) { - handlerQueue.push( { elem: cur, handlers: matchedHandlers } ); - } - } - } - } - - // Add the remaining (directly-bound) handlers - cur = this; - if ( delegateCount < handlers.length ) { - handlerQueue.push( { elem: cur, handlers: handlers.slice( delegateCount ) } ); - } - - return handlerQueue; - }, - - addProp: function( name, hook ) { - Object.defineProperty( jQuery.Event.prototype, name, { - enumerable: true, - configurable: true, - - get: isFunction( hook ) ? - function() { - if ( this.originalEvent ) { - return hook( this.originalEvent ); - } - } : - function() { - if ( this.originalEvent ) { - return this.originalEvent[ name ]; - } - }, - - set: function( value ) { - Object.defineProperty( this, name, { - enumerable: true, - configurable: true, - writable: true, - value: value - } ); - } - } ); - }, - - fix: function( originalEvent ) { - return originalEvent[ jQuery.expando ] ? - originalEvent : - new jQuery.Event( originalEvent ); - }, - - special: { - load: { - - // Prevent triggered image.load events from bubbling to window.load - noBubble: true - }, - click: { - - // Utilize native event to ensure correct state for checkable inputs - setup: function( data ) { - - // For mutual compressibility with _default, replace `this` access with a local var. - // `|| data` is dead code meant only to preserve the variable through minification. - var el = this || data; - - // Claim the first handler - if ( rcheckableType.test( el.type ) && - el.click && nodeName( el, "input" ) ) { - - // dataPriv.set( el, "click", ... ) - leverageNative( el, "click", returnTrue ); - } - - // Return false to allow normal processing in the caller - return false; - }, - trigger: function( data ) { - - // For mutual compressibility with _default, replace `this` access with a local var. - // `|| data` is dead code meant only to preserve the variable through minification. - var el = this || data; - - // Force setup before triggering a click - if ( rcheckableType.test( el.type ) && - el.click && nodeName( el, "input" ) ) { - - leverageNative( el, "click" ); - } - - // Return non-false to allow normal event-path propagation - return true; - }, - - // For cross-browser consistency, suppress native .click() on links - // Also prevent it if we're currently inside a leveraged native-event stack - _default: function( event ) { - var target = event.target; - return rcheckableType.test( target.type ) && - target.click && nodeName( target, "input" ) && - dataPriv.get( target, "click" ) || - nodeName( target, "a" ); - } - }, - - beforeunload: { - postDispatch: function( event ) { - - // Support: Firefox 20+ - // Firefox doesn't alert if the returnValue field is not set. - if ( event.result !== undefined && event.originalEvent ) { - event.originalEvent.returnValue = event.result; - } - } - } - } -}; - -// Ensure the presence of an event listener that handles manually-triggered -// synthetic events by interrupting progress until reinvoked in response to -// *native* events that it fires directly, ensuring that state changes have -// already occurred before other listeners are invoked. -function leverageNative( el, type, expectSync ) { - - // Missing expectSync indicates a trigger call, which must force setup through jQuery.event.add - if ( !expectSync ) { - if ( dataPriv.get( el, type ) === undefined ) { - jQuery.event.add( el, type, returnTrue ); - } - return; - } - - // Register the controller as a special universal handler for all event namespaces - dataPriv.set( el, type, false ); - jQuery.event.add( el, type, { - namespace: false, - handler: function( event ) { - var notAsync, result, - saved = dataPriv.get( this, type ); - - if ( ( event.isTrigger & 1 ) && this[ type ] ) { - - // Interrupt processing of the outer synthetic .trigger()ed event - // Saved data should be false in such cases, but might be a leftover capture object - // from an async native handler (gh-4350) - if ( !saved.length ) { - - // Store arguments for use when handling the inner native event - // There will always be at least one argument (an event object), so this array - // will not be confused with a leftover capture object. - saved = slice.call( arguments ); - dataPriv.set( this, type, saved ); - - // Trigger the native event and capture its result - // Support: IE <=9 - 11+ - // focus() and blur() are asynchronous - notAsync = expectSync( this, type ); - this[ type ](); - result = dataPriv.get( this, type ); - if ( saved !== result || notAsync ) { - dataPriv.set( this, type, false ); - } else { - result = {}; - } - if ( saved !== result ) { - - // Cancel the outer synthetic event - event.stopImmediatePropagation(); - event.preventDefault(); - - // Support: Chrome 86+ - // In Chrome, if an element having a focusout handler is blurred by - // clicking outside of it, it invokes the handler synchronously. If - // that handler calls `.remove()` on the element, the data is cleared, - // leaving `result` undefined. We need to guard against this. - return result && result.value; - } - - // If this is an inner synthetic event for an event with a bubbling surrogate - // (focus or blur), assume that the surrogate already propagated from triggering the - // native event and prevent that from happening again here. - // This technically gets the ordering wrong w.r.t. to `.trigger()` (in which the - // bubbling surrogate propagates *after* the non-bubbling base), but that seems - // less bad than duplication. - } else if ( ( jQuery.event.special[ type ] || {} ).delegateType ) { - event.stopPropagation(); - } - - // If this is a native event triggered above, everything is now in order - // Fire an inner synthetic event with the original arguments - } else if ( saved.length ) { - - // ...and capture the result - dataPriv.set( this, type, { - value: jQuery.event.trigger( - - // Support: IE <=9 - 11+ - // Extend with the prototype to reset the above stopImmediatePropagation() - jQuery.extend( saved[ 0 ], jQuery.Event.prototype ), - saved.slice( 1 ), - this - ) - } ); - - // Abort handling of the native event - event.stopImmediatePropagation(); - } - } - } ); -} - -jQuery.removeEvent = function( elem, type, handle ) { - - // This "if" is needed for plain objects - if ( elem.removeEventListener ) { - elem.removeEventListener( type, handle ); - } -}; - -jQuery.Event = function( src, props ) { - - // Allow instantiation without the 'new' keyword - if ( !( this instanceof jQuery.Event ) ) { - return new jQuery.Event( src, props ); - } - - // Event object - if ( src && src.type ) { - this.originalEvent = src; - this.type = src.type; - - // Events bubbling up the document may have been marked as prevented - // by a handler lower down the tree; reflect the correct value. - this.isDefaultPrevented = src.defaultPrevented || - src.defaultPrevented === undefined && - - // Support: Android <=2.3 only - src.returnValue === false ? - returnTrue : - returnFalse; - - // Create target properties - // Support: Safari <=6 - 7 only - // Target should not be a text node (#504, #13143) - this.target = ( src.target && src.target.nodeType === 3 ) ? - src.target.parentNode : - src.target; - - this.currentTarget = src.currentTarget; - this.relatedTarget = src.relatedTarget; - - // Event type - } else { - this.type = src; - } - - // Put explicitly provided properties onto the event object - if ( props ) { - jQuery.extend( this, props ); - } - - // Create a timestamp if incoming event doesn't have one - this.timeStamp = src && src.timeStamp || Date.now(); - - // Mark it as fixed - this[ jQuery.expando ] = true; -}; - -// jQuery.Event is based on DOM3 Events as specified by the ECMAScript Language Binding -// https://www.w3.org/TR/2003/WD-DOM-Level-3-Events-20030331/ecma-script-binding.html -jQuery.Event.prototype = { - constructor: jQuery.Event, - isDefaultPrevented: returnFalse, - isPropagationStopped: returnFalse, - isImmediatePropagationStopped: returnFalse, - isSimulated: false, - - preventDefault: function() { - var e = this.originalEvent; - - this.isDefaultPrevented = returnTrue; - - if ( e && !this.isSimulated ) { - e.preventDefault(); - } - }, - stopPropagation: function() { - var e = this.originalEvent; - - this.isPropagationStopped = returnTrue; - - if ( e && !this.isSimulated ) { - e.stopPropagation(); - } - }, - stopImmediatePropagation: function() { - var e = this.originalEvent; - - this.isImmediatePropagationStopped = returnTrue; - - if ( e && !this.isSimulated ) { - e.stopImmediatePropagation(); - } - - this.stopPropagation(); - } -}; - -// Includes all common event props including KeyEvent and MouseEvent specific props -jQuery.each( { - altKey: true, - bubbles: true, - cancelable: true, - changedTouches: true, - ctrlKey: true, - detail: true, - eventPhase: true, - metaKey: true, - pageX: true, - pageY: true, - shiftKey: true, - view: true, - "char": true, - code: true, - charCode: true, - key: true, - keyCode: true, - button: true, - buttons: true, - clientX: true, - clientY: true, - offsetX: true, - offsetY: true, - pointerId: true, - pointerType: true, - screenX: true, - screenY: true, - targetTouches: true, - toElement: true, - touches: true, - which: true -}, jQuery.event.addProp ); - -jQuery.each( { focus: "focusin", blur: "focusout" }, function( type, delegateType ) { - jQuery.event.special[ type ] = { - - // Utilize native event if possible so blur/focus sequence is correct - setup: function() { - - // Claim the first handler - // dataPriv.set( this, "focus", ... ) - // dataPriv.set( this, "blur", ... ) - leverageNative( this, type, expectSync ); - - // Return false to allow normal processing in the caller - return false; - }, - trigger: function() { - - // Force setup before trigger - leverageNative( this, type ); - - // Return non-false to allow normal event-path propagation - return true; - }, - - // Suppress native focus or blur as it's already being fired - // in leverageNative. - _default: function() { - return true; - }, - - delegateType: delegateType - }; -} ); - -// Create mouseenter/leave events using mouseover/out and event-time checks -// so that event delegation works in jQuery. -// Do the same for pointerenter/pointerleave and pointerover/pointerout -// -// Support: Safari 7 only -// Safari sends mouseenter too often; see: -// https://bugs.chromium.org/p/chromium/issues/detail?id=470258 -// for the description of the bug (it existed in older Chrome versions as well). -jQuery.each( { - mouseenter: "mouseover", - mouseleave: "mouseout", - pointerenter: "pointerover", - pointerleave: "pointerout" -}, function( orig, fix ) { - jQuery.event.special[ orig ] = { - delegateType: fix, - bindType: fix, - - handle: function( event ) { - var ret, - target = this, - related = event.relatedTarget, - handleObj = event.handleObj; - - // For mouseenter/leave call the handler if related is outside the target. - // NB: No relatedTarget if the mouse left/entered the browser window - if ( !related || ( related !== target && !jQuery.contains( target, related ) ) ) { - event.type = handleObj.origType; - ret = handleObj.handler.apply( this, arguments ); - event.type = fix; - } - return ret; - } - }; -} ); - -jQuery.fn.extend( { - - on: function( types, selector, data, fn ) { - return on( this, types, selector, data, fn ); - }, - one: function( types, selector, data, fn ) { - return on( this, types, selector, data, fn, 1 ); - }, - off: function( types, selector, fn ) { - var handleObj, type; - if ( types && types.preventDefault && types.handleObj ) { - - // ( event ) dispatched jQuery.Event - handleObj = types.handleObj; - jQuery( types.delegateTarget ).off( - handleObj.namespace ? - handleObj.origType + "." + handleObj.namespace : - handleObj.origType, - handleObj.selector, - handleObj.handler - ); - return this; - } - if ( typeof types === "object" ) { - - // ( types-object [, selector] ) - for ( type in types ) { - this.off( type, selector, types[ type ] ); - } - return this; - } - if ( selector === false || typeof selector === "function" ) { - - // ( types [, fn] ) - fn = selector; - selector = undefined; - } - if ( fn === false ) { - fn = returnFalse; - } - return this.each( function() { - jQuery.event.remove( this, types, fn, selector ); - } ); - } -} ); - - -var - - // Support: IE <=10 - 11, Edge 12 - 13 only - // In IE/Edge using regex groups here causes severe slowdowns. - // See https://connect.microsoft.com/IE/feedback/details/1736512/ - rnoInnerhtml = /\s*$/g; - -// Prefer a tbody over its parent table for containing new rows -function manipulationTarget( elem, content ) { - if ( nodeName( elem, "table" ) && - nodeName( content.nodeType !== 11 ? content : content.firstChild, "tr" ) ) { - - return jQuery( elem ).children( "tbody" )[ 0 ] || elem; - } - - return elem; -} - -// Replace/restore the type attribute of script elements for safe DOM manipulation -function disableScript( elem ) { - elem.type = ( elem.getAttribute( "type" ) !== null ) + "/" + elem.type; - return elem; -} -function restoreScript( elem ) { - if ( ( elem.type || "" ).slice( 0, 5 ) === "true/" ) { - elem.type = elem.type.slice( 5 ); - } else { - elem.removeAttribute( "type" ); - } - - return elem; -} - -function cloneCopyEvent( src, dest ) { - var i, l, type, pdataOld, udataOld, udataCur, events; - - if ( dest.nodeType !== 1 ) { - return; - } - - // 1. Copy private data: events, handlers, etc. - if ( dataPriv.hasData( src ) ) { - pdataOld = dataPriv.get( src ); - events = pdataOld.events; - - if ( events ) { - dataPriv.remove( dest, "handle events" ); - - for ( type in events ) { - for ( i = 0, l = events[ type ].length; i < l; i++ ) { - jQuery.event.add( dest, type, events[ type ][ i ] ); - } - } - } - } - - // 2. Copy user data - if ( dataUser.hasData( src ) ) { - udataOld = dataUser.access( src ); - udataCur = jQuery.extend( {}, udataOld ); - - dataUser.set( dest, udataCur ); - } -} - -// Fix IE bugs, see support tests -function fixInput( src, dest ) { - var nodeName = dest.nodeName.toLowerCase(); - - // Fails to persist the checked state of a cloned checkbox or radio button. - if ( nodeName === "input" && rcheckableType.test( src.type ) ) { - dest.checked = src.checked; - - // Fails to return the selected option to the default selected state when cloning options - } else if ( nodeName === "input" || nodeName === "textarea" ) { - dest.defaultValue = src.defaultValue; - } -} - -function domManip( collection, args, callback, ignored ) { - - // Flatten any nested arrays - args = flat( args ); - - var fragment, first, scripts, hasScripts, node, doc, - i = 0, - l = collection.length, - iNoClone = l - 1, - value = args[ 0 ], - valueIsFunction = isFunction( value ); - - // We can't cloneNode fragments that contain checked, in WebKit - if ( valueIsFunction || - ( l > 1 && typeof value === "string" && - !support.checkClone && rchecked.test( value ) ) ) { - return collection.each( function( index ) { - var self = collection.eq( index ); - if ( valueIsFunction ) { - args[ 0 ] = value.call( this, index, self.html() ); - } - domManip( self, args, callback, ignored ); - } ); - } - - if ( l ) { - fragment = buildFragment( args, collection[ 0 ].ownerDocument, false, collection, ignored ); - first = fragment.firstChild; - - if ( fragment.childNodes.length === 1 ) { - fragment = first; - } - - // Require either new content or an interest in ignored elements to invoke the callback - if ( first || ignored ) { - scripts = jQuery.map( getAll( fragment, "script" ), disableScript ); - hasScripts = scripts.length; - - // Use the original fragment for the last item - // instead of the first because it can end up - // being emptied incorrectly in certain situations (#8070). - for ( ; i < l; i++ ) { - node = fragment; - - if ( i !== iNoClone ) { - node = jQuery.clone( node, true, true ); - - // Keep references to cloned scripts for later restoration - if ( hasScripts ) { - - // Support: Android <=4.0 only, PhantomJS 1 only - // push.apply(_, arraylike) throws on ancient WebKit - jQuery.merge( scripts, getAll( node, "script" ) ); - } - } - - callback.call( collection[ i ], node, i ); - } - - if ( hasScripts ) { - doc = scripts[ scripts.length - 1 ].ownerDocument; - - // Reenable scripts - jQuery.map( scripts, restoreScript ); - - // Evaluate executable scripts on first document insertion - for ( i = 0; i < hasScripts; i++ ) { - node = scripts[ i ]; - if ( rscriptType.test( node.type || "" ) && - !dataPriv.access( node, "globalEval" ) && - jQuery.contains( doc, node ) ) { - - if ( node.src && ( node.type || "" ).toLowerCase() !== "module" ) { - - // Optional AJAX dependency, but won't run scripts if not present - if ( jQuery._evalUrl && !node.noModule ) { - jQuery._evalUrl( node.src, { - nonce: node.nonce || node.getAttribute( "nonce" ) - }, doc ); - } - } else { - DOMEval( node.textContent.replace( rcleanScript, "" ), node, doc ); - } - } - } - } - } - } - - return collection; -} - -function remove( elem, selector, keepData ) { - var node, - nodes = selector ? jQuery.filter( selector, elem ) : elem, - i = 0; - - for ( ; ( node = nodes[ i ] ) != null; i++ ) { - if ( !keepData && node.nodeType === 1 ) { - jQuery.cleanData( getAll( node ) ); - } - - if ( node.parentNode ) { - if ( keepData && isAttached( node ) ) { - setGlobalEval( getAll( node, "script" ) ); - } - node.parentNode.removeChild( node ); - } - } - - return elem; -} - -jQuery.extend( { - htmlPrefilter: function( html ) { - return html; - }, - - clone: function( elem, dataAndEvents, deepDataAndEvents ) { - var i, l, srcElements, destElements, - clone = elem.cloneNode( true ), - inPage = isAttached( elem ); - - // Fix IE cloning issues - if ( !support.noCloneChecked && ( elem.nodeType === 1 || elem.nodeType === 11 ) && - !jQuery.isXMLDoc( elem ) ) { - - // We eschew Sizzle here for performance reasons: https://jsperf.com/getall-vs-sizzle/2 - destElements = getAll( clone ); - srcElements = getAll( elem ); - - for ( i = 0, l = srcElements.length; i < l; i++ ) { - fixInput( srcElements[ i ], destElements[ i ] ); - } - } - - // Copy the events from the original to the clone - if ( dataAndEvents ) { - if ( deepDataAndEvents ) { - srcElements = srcElements || getAll( elem ); - destElements = destElements || getAll( clone ); - - for ( i = 0, l = srcElements.length; i < l; i++ ) { - cloneCopyEvent( srcElements[ i ], destElements[ i ] ); - } - } else { - cloneCopyEvent( elem, clone ); - } - } - - // Preserve script evaluation history - destElements = getAll( clone, "script" ); - if ( destElements.length > 0 ) { - setGlobalEval( destElements, !inPage && getAll( elem, "script" ) ); - } - - // Return the cloned set - return clone; - }, - - cleanData: function( elems ) { - var data, elem, type, - special = jQuery.event.special, - i = 0; - - for ( ; ( elem = elems[ i ] ) !== undefined; i++ ) { - if ( acceptData( elem ) ) { - if ( ( data = elem[ dataPriv.expando ] ) ) { - if ( data.events ) { - for ( type in data.events ) { - if ( special[ type ] ) { - jQuery.event.remove( elem, type ); - - // This is a shortcut to avoid jQuery.event.remove's overhead - } else { - jQuery.removeEvent( elem, type, data.handle ); - } - } - } - - // Support: Chrome <=35 - 45+ - // Assign undefined instead of using delete, see Data#remove - elem[ dataPriv.expando ] = undefined; - } - if ( elem[ dataUser.expando ] ) { - - // Support: Chrome <=35 - 45+ - // Assign undefined instead of using delete, see Data#remove - elem[ dataUser.expando ] = undefined; - } - } - } - } -} ); - -jQuery.fn.extend( { - detach: function( selector ) { - return remove( this, selector, true ); - }, - - remove: function( selector ) { - return remove( this, selector ); - }, - - text: function( value ) { - return access( this, function( value ) { - return value === undefined ? - jQuery.text( this ) : - this.empty().each( function() { - if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) { - this.textContent = value; - } - } ); - }, null, value, arguments.length ); - }, - - append: function() { - return domManip( this, arguments, function( elem ) { - if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) { - var target = manipulationTarget( this, elem ); - target.appendChild( elem ); - } - } ); - }, - - prepend: function() { - return domManip( this, arguments, function( elem ) { - if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) { - var target = manipulationTarget( this, elem ); - target.insertBefore( elem, target.firstChild ); - } - } ); - }, - - before: function() { - return domManip( this, arguments, function( elem ) { - if ( this.parentNode ) { - this.parentNode.insertBefore( elem, this ); - } - } ); - }, - - after: function() { - return domManip( this, arguments, function( elem ) { - if ( this.parentNode ) { - this.parentNode.insertBefore( elem, this.nextSibling ); - } - } ); - }, - - empty: function() { - var elem, - i = 0; - - for ( ; ( elem = this[ i ] ) != null; i++ ) { - if ( elem.nodeType === 1 ) { - - // Prevent memory leaks - jQuery.cleanData( getAll( elem, false ) ); - - // Remove any remaining nodes - elem.textContent = ""; - } - } - - return this; - }, - - clone: function( dataAndEvents, deepDataAndEvents ) { - dataAndEvents = dataAndEvents == null ? false : dataAndEvents; - deepDataAndEvents = deepDataAndEvents == null ? dataAndEvents : deepDataAndEvents; - - return this.map( function() { - return jQuery.clone( this, dataAndEvents, deepDataAndEvents ); - } ); - }, - - html: function( value ) { - return access( this, function( value ) { - var elem = this[ 0 ] || {}, - i = 0, - l = this.length; - - if ( value === undefined && elem.nodeType === 1 ) { - return elem.innerHTML; - } - - // See if we can take a shortcut and just use innerHTML - if ( typeof value === "string" && !rnoInnerhtml.test( value ) && - !wrapMap[ ( rtagName.exec( value ) || [ "", "" ] )[ 1 ].toLowerCase() ] ) { - - value = jQuery.htmlPrefilter( value ); - - try { - for ( ; i < l; i++ ) { - elem = this[ i ] || {}; - - // Remove element nodes and prevent memory leaks - if ( elem.nodeType === 1 ) { - jQuery.cleanData( getAll( elem, false ) ); - elem.innerHTML = value; - } - } - - elem = 0; - - // If using innerHTML throws an exception, use the fallback method - } catch ( e ) {} - } - - if ( elem ) { - this.empty().append( value ); - } - }, null, value, arguments.length ); - }, - - replaceWith: function() { - var ignored = []; - - // Make the changes, replacing each non-ignored context element with the new content - return domManip( this, arguments, function( elem ) { - var parent = this.parentNode; - - if ( jQuery.inArray( this, ignored ) < 0 ) { - jQuery.cleanData( getAll( this ) ); - if ( parent ) { - parent.replaceChild( elem, this ); - } - } - - // Force callback invocation - }, ignored ); - } -} ); - -jQuery.each( { - appendTo: "append", - prependTo: "prepend", - insertBefore: "before", - insertAfter: "after", - replaceAll: "replaceWith" -}, function( name, original ) { - jQuery.fn[ name ] = function( selector ) { - var elems, - ret = [], - insert = jQuery( selector ), - last = insert.length - 1, - i = 0; - - for ( ; i <= last; i++ ) { - elems = i === last ? this : this.clone( true ); - jQuery( insert[ i ] )[ original ]( elems ); - - // Support: Android <=4.0 only, PhantomJS 1 only - // .get() because push.apply(_, arraylike) throws on ancient WebKit - push.apply( ret, elems.get() ); - } - - return this.pushStack( ret ); - }; -} ); -var rnumnonpx = new RegExp( "^(" + pnum + ")(?!px)[a-z%]+$", "i" ); - -var getStyles = function( elem ) { - - // Support: IE <=11 only, Firefox <=30 (#15098, #14150) - // IE throws on elements created in popups - // FF meanwhile throws on frame elements through "defaultView.getComputedStyle" - var view = elem.ownerDocument.defaultView; - - if ( !view || !view.opener ) { - view = window; - } - - return view.getComputedStyle( elem ); - }; - -var swap = function( elem, options, callback ) { - var ret, name, - old = {}; - - // Remember the old values, and insert the new ones - for ( name in options ) { - old[ name ] = elem.style[ name ]; - elem.style[ name ] = options[ name ]; - } - - ret = callback.call( elem ); - - // Revert the old values - for ( name in options ) { - elem.style[ name ] = old[ name ]; - } - - return ret; -}; - - -var rboxStyle = new RegExp( cssExpand.join( "|" ), "i" ); - - - -( function() { - - // Executing both pixelPosition & boxSizingReliable tests require only one layout - // so they're executed at the same time to save the second computation. - function computeStyleTests() { - - // This is a singleton, we need to execute it only once - if ( !div ) { - return; - } - - container.style.cssText = "position:absolute;left:-11111px;width:60px;" + - "margin-top:1px;padding:0;border:0"; - div.style.cssText = - "position:relative;display:block;box-sizing:border-box;overflow:scroll;" + - "margin:auto;border:1px;padding:1px;" + - "width:60%;top:1%"; - documentElement.appendChild( container ).appendChild( div ); - - var divStyle = window.getComputedStyle( div ); - pixelPositionVal = divStyle.top !== "1%"; - - // Support: Android 4.0 - 4.3 only, Firefox <=3 - 44 - reliableMarginLeftVal = roundPixelMeasures( divStyle.marginLeft ) === 12; - - // Support: Android 4.0 - 4.3 only, Safari <=9.1 - 10.1, iOS <=7.0 - 9.3 - // Some styles come back with percentage values, even though they shouldn't - div.style.right = "60%"; - pixelBoxStylesVal = roundPixelMeasures( divStyle.right ) === 36; - - // Support: IE 9 - 11 only - // Detect misreporting of content dimensions for box-sizing:border-box elements - boxSizingReliableVal = roundPixelMeasures( divStyle.width ) === 36; - - // Support: IE 9 only - // Detect overflow:scroll screwiness (gh-3699) - // Support: Chrome <=64 - // Don't get tricked when zoom affects offsetWidth (gh-4029) - div.style.position = "absolute"; - scrollboxSizeVal = roundPixelMeasures( div.offsetWidth / 3 ) === 12; - - documentElement.removeChild( container ); - - // Nullify the div so it wouldn't be stored in the memory and - // it will also be a sign that checks already performed - div = null; - } - - function roundPixelMeasures( measure ) { - return Math.round( parseFloat( measure ) ); - } - - var pixelPositionVal, boxSizingReliableVal, scrollboxSizeVal, pixelBoxStylesVal, - reliableTrDimensionsVal, reliableMarginLeftVal, - container = document.createElement( "div" ), - div = document.createElement( "div" ); - - // Finish early in limited (non-browser) environments - if ( !div.style ) { - return; - } - - // Support: IE <=9 - 11 only - // Style of cloned element affects source element cloned (#8908) - div.style.backgroundClip = "content-box"; - div.cloneNode( true ).style.backgroundClip = ""; - support.clearCloneStyle = div.style.backgroundClip === "content-box"; - - jQuery.extend( support, { - boxSizingReliable: function() { - computeStyleTests(); - return boxSizingReliableVal; - }, - pixelBoxStyles: function() { - computeStyleTests(); - return pixelBoxStylesVal; - }, - pixelPosition: function() { - computeStyleTests(); - return pixelPositionVal; - }, - reliableMarginLeft: function() { - computeStyleTests(); - return reliableMarginLeftVal; - }, - scrollboxSize: function() { - computeStyleTests(); - return scrollboxSizeVal; - }, - - // Support: IE 9 - 11+, Edge 15 - 18+ - // IE/Edge misreport `getComputedStyle` of table rows with width/height - // set in CSS while `offset*` properties report correct values. - // Behavior in IE 9 is more subtle than in newer versions & it passes - // some versions of this test; make sure not to make it pass there! - // - // Support: Firefox 70+ - // Only Firefox includes border widths - // in computed dimensions. (gh-4529) - reliableTrDimensions: function() { - var table, tr, trChild, trStyle; - if ( reliableTrDimensionsVal == null ) { - table = document.createElement( "table" ); - tr = document.createElement( "tr" ); - trChild = document.createElement( "div" ); - - table.style.cssText = "position:absolute;left:-11111px;border-collapse:separate"; - tr.style.cssText = "border:1px solid"; - - // Support: Chrome 86+ - // Height set through cssText does not get applied. - // Computed height then comes back as 0. - tr.style.height = "1px"; - trChild.style.height = "9px"; - - // Support: Android 8 Chrome 86+ - // In our bodyBackground.html iframe, - // display for all div elements is set to "inline", - // which causes a problem only in Android 8 Chrome 86. - // Ensuring the div is display: block - // gets around this issue. - trChild.style.display = "block"; - - documentElement - .appendChild( table ) - .appendChild( tr ) - .appendChild( trChild ); - - trStyle = window.getComputedStyle( tr ); - reliableTrDimensionsVal = ( parseInt( trStyle.height, 10 ) + - parseInt( trStyle.borderTopWidth, 10 ) + - parseInt( trStyle.borderBottomWidth, 10 ) ) === tr.offsetHeight; - - documentElement.removeChild( table ); - } - return reliableTrDimensionsVal; - } - } ); -} )(); - - -function curCSS( elem, name, computed ) { - var width, minWidth, maxWidth, ret, - - // Support: Firefox 51+ - // Retrieving style before computed somehow - // fixes an issue with getting wrong values - // on detached elements - style = elem.style; - - computed = computed || getStyles( elem ); - - // getPropertyValue is needed for: - // .css('filter') (IE 9 only, #12537) - // .css('--customProperty) (#3144) - if ( computed ) { - ret = computed.getPropertyValue( name ) || computed[ name ]; - - if ( ret === "" && !isAttached( elem ) ) { - ret = jQuery.style( elem, name ); - } - - // A tribute to the "awesome hack by Dean Edwards" - // Android Browser returns percentage for some values, - // but width seems to be reliably pixels. - // This is against the CSSOM draft spec: - // https://drafts.csswg.org/cssom/#resolved-values - if ( !support.pixelBoxStyles() && rnumnonpx.test( ret ) && rboxStyle.test( name ) ) { - - // Remember the original values - width = style.width; - minWidth = style.minWidth; - maxWidth = style.maxWidth; - - // Put in the new values to get a computed value out - style.minWidth = style.maxWidth = style.width = ret; - ret = computed.width; - - // Revert the changed values - style.width = width; - style.minWidth = minWidth; - style.maxWidth = maxWidth; - } - } - - return ret !== undefined ? - - // Support: IE <=9 - 11 only - // IE returns zIndex value as an integer. - ret + "" : - ret; -} - - -function addGetHookIf( conditionFn, hookFn ) { - - // Define the hook, we'll check on the first run if it's really needed. - return { - get: function() { - if ( conditionFn() ) { - - // Hook not needed (or it's not possible to use it due - // to missing dependency), remove it. - delete this.get; - return; - } - - // Hook needed; redefine it so that the support test is not executed again. - return ( this.get = hookFn ).apply( this, arguments ); - } - }; -} - - -var cssPrefixes = [ "Webkit", "Moz", "ms" ], - emptyStyle = document.createElement( "div" ).style, - vendorProps = {}; - -// Return a vendor-prefixed property or undefined -function vendorPropName( name ) { - - // Check for vendor prefixed names - var capName = name[ 0 ].toUpperCase() + name.slice( 1 ), - i = cssPrefixes.length; - - while ( i-- ) { - name = cssPrefixes[ i ] + capName; - if ( name in emptyStyle ) { - return name; - } - } -} - -// Return a potentially-mapped jQuery.cssProps or vendor prefixed property -function finalPropName( name ) { - var final = jQuery.cssProps[ name ] || vendorProps[ name ]; - - if ( final ) { - return final; - } - if ( name in emptyStyle ) { - return name; - } - return vendorProps[ name ] = vendorPropName( name ) || name; -} - - -var - - // Swappable if display is none or starts with table - // except "table", "table-cell", or "table-caption" - // See here for display values: https://developer.mozilla.org/en-US/docs/CSS/display - rdisplayswap = /^(none|table(?!-c[ea]).+)/, - rcustomProp = /^--/, - cssShow = { position: "absolute", visibility: "hidden", display: "block" }, - cssNormalTransform = { - letterSpacing: "0", - fontWeight: "400" - }; - -function setPositiveNumber( _elem, value, subtract ) { - - // Any relative (+/-) values have already been - // normalized at this point - var matches = rcssNum.exec( value ); - return matches ? - - // Guard against undefined "subtract", e.g., when used as in cssHooks - Math.max( 0, matches[ 2 ] - ( subtract || 0 ) ) + ( matches[ 3 ] || "px" ) : - value; -} - -function boxModelAdjustment( elem, dimension, box, isBorderBox, styles, computedVal ) { - var i = dimension === "width" ? 1 : 0, - extra = 0, - delta = 0; - - // Adjustment may not be necessary - if ( box === ( isBorderBox ? "border" : "content" ) ) { - return 0; - } - - for ( ; i < 4; i += 2 ) { - - // Both box models exclude margin - if ( box === "margin" ) { - delta += jQuery.css( elem, box + cssExpand[ i ], true, styles ); - } - - // If we get here with a content-box, we're seeking "padding" or "border" or "margin" - if ( !isBorderBox ) { - - // Add padding - delta += jQuery.css( elem, "padding" + cssExpand[ i ], true, styles ); - - // For "border" or "margin", add border - if ( box !== "padding" ) { - delta += jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles ); - - // But still keep track of it otherwise - } else { - extra += jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles ); - } - - // If we get here with a border-box (content + padding + border), we're seeking "content" or - // "padding" or "margin" - } else { - - // For "content", subtract padding - if ( box === "content" ) { - delta -= jQuery.css( elem, "padding" + cssExpand[ i ], true, styles ); - } - - // For "content" or "padding", subtract border - if ( box !== "margin" ) { - delta -= jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles ); - } - } - } - - // Account for positive content-box scroll gutter when requested by providing computedVal - if ( !isBorderBox && computedVal >= 0 ) { - - // offsetWidth/offsetHeight is a rounded sum of content, padding, scroll gutter, and border - // Assuming integer scroll gutter, subtract the rest and round down - delta += Math.max( 0, Math.ceil( - elem[ "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 ) ] - - computedVal - - delta - - extra - - 0.5 - - // If offsetWidth/offsetHeight is unknown, then we can't determine content-box scroll gutter - // Use an explicit zero to avoid NaN (gh-3964) - ) ) || 0; - } - - return delta; -} - -function getWidthOrHeight( elem, dimension, extra ) { - - // Start with computed style - var styles = getStyles( elem ), - - // To avoid forcing a reflow, only fetch boxSizing if we need it (gh-4322). - // Fake content-box until we know it's needed to know the true value. - boxSizingNeeded = !support.boxSizingReliable() || extra, - isBorderBox = boxSizingNeeded && - jQuery.css( elem, "boxSizing", false, styles ) === "border-box", - valueIsBorderBox = isBorderBox, - - val = curCSS( elem, dimension, styles ), - offsetProp = "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 ); - - // Support: Firefox <=54 - // Return a confounding non-pixel value or feign ignorance, as appropriate. - if ( rnumnonpx.test( val ) ) { - if ( !extra ) { - return val; - } - val = "auto"; - } - - - // Support: IE 9 - 11 only - // Use offsetWidth/offsetHeight for when box sizing is unreliable. - // In those cases, the computed value can be trusted to be border-box. - if ( ( !support.boxSizingReliable() && isBorderBox || - - // Support: IE 10 - 11+, Edge 15 - 18+ - // IE/Edge misreport `getComputedStyle` of table rows with width/height - // set in CSS while `offset*` properties report correct values. - // Interestingly, in some cases IE 9 doesn't suffer from this issue. - !support.reliableTrDimensions() && nodeName( elem, "tr" ) || - - // Fall back to offsetWidth/offsetHeight when value is "auto" - // This happens for inline elements with no explicit setting (gh-3571) - val === "auto" || - - // Support: Android <=4.1 - 4.3 only - // Also use offsetWidth/offsetHeight for misreported inline dimensions (gh-3602) - !parseFloat( val ) && jQuery.css( elem, "display", false, styles ) === "inline" ) && - - // Make sure the element is visible & connected - elem.getClientRects().length ) { - - isBorderBox = jQuery.css( elem, "boxSizing", false, styles ) === "border-box"; - - // Where available, offsetWidth/offsetHeight approximate border box dimensions. - // Where not available (e.g., SVG), assume unreliable box-sizing and interpret the - // retrieved value as a content box dimension. - valueIsBorderBox = offsetProp in elem; - if ( valueIsBorderBox ) { - val = elem[ offsetProp ]; - } - } - - // Normalize "" and auto - val = parseFloat( val ) || 0; - - // Adjust for the element's box model - return ( val + - boxModelAdjustment( - elem, - dimension, - extra || ( isBorderBox ? "border" : "content" ), - valueIsBorderBox, - styles, - - // Provide the current computed size to request scroll gutter calculation (gh-3589) - val - ) - ) + "px"; -} - -jQuery.extend( { - - // Add in style property hooks for overriding the default - // behavior of getting and setting a style property - cssHooks: { - opacity: { - get: function( elem, computed ) { - if ( computed ) { - - // We should always get a number back from opacity - var ret = curCSS( elem, "opacity" ); - return ret === "" ? "1" : ret; - } - } - } - }, - - // Don't automatically add "px" to these possibly-unitless properties - cssNumber: { - "animationIterationCount": true, - "columnCount": true, - "fillOpacity": true, - "flexGrow": true, - "flexShrink": true, - "fontWeight": true, - "gridArea": true, - "gridColumn": true, - "gridColumnEnd": true, - "gridColumnStart": true, - "gridRow": true, - "gridRowEnd": true, - "gridRowStart": true, - "lineHeight": true, - "opacity": true, - "order": true, - "orphans": true, - "widows": true, - "zIndex": true, - "zoom": true - }, - - // Add in properties whose names you wish to fix before - // setting or getting the value - cssProps: {}, - - // Get and set the style property on a DOM Node - style: function( elem, name, value, extra ) { - - // Don't set styles on text and comment nodes - if ( !elem || elem.nodeType === 3 || elem.nodeType === 8 || !elem.style ) { - return; - } - - // Make sure that we're working with the right name - var ret, type, hooks, - origName = camelCase( name ), - isCustomProp = rcustomProp.test( name ), - style = elem.style; - - // Make sure that we're working with the right name. We don't - // want to query the value if it is a CSS custom property - // since they are user-defined. - if ( !isCustomProp ) { - name = finalPropName( origName ); - } - - // Gets hook for the prefixed version, then unprefixed version - hooks = jQuery.cssHooks[ name ] || jQuery.cssHooks[ origName ]; - - // Check if we're setting a value - if ( value !== undefined ) { - type = typeof value; - - // Convert "+=" or "-=" to relative numbers (#7345) - if ( type === "string" && ( ret = rcssNum.exec( value ) ) && ret[ 1 ] ) { - value = adjustCSS( elem, name, ret ); - - // Fixes bug #9237 - type = "number"; - } - - // Make sure that null and NaN values aren't set (#7116) - if ( value == null || value !== value ) { - return; - } - - // If a number was passed in, add the unit (except for certain CSS properties) - // The isCustomProp check can be removed in jQuery 4.0 when we only auto-append - // "px" to a few hardcoded values. - if ( type === "number" && !isCustomProp ) { - value += ret && ret[ 3 ] || ( jQuery.cssNumber[ origName ] ? "" : "px" ); - } - - // background-* props affect original clone's values - if ( !support.clearCloneStyle && value === "" && name.indexOf( "background" ) === 0 ) { - style[ name ] = "inherit"; - } - - // If a hook was provided, use that value, otherwise just set the specified value - if ( !hooks || !( "set" in hooks ) || - ( value = hooks.set( elem, value, extra ) ) !== undefined ) { - - if ( isCustomProp ) { - style.setProperty( name, value ); - } else { - style[ name ] = value; - } - } - - } else { - - // If a hook was provided get the non-computed value from there - if ( hooks && "get" in hooks && - ( ret = hooks.get( elem, false, extra ) ) !== undefined ) { - - return ret; - } - - // Otherwise just get the value from the style object - return style[ name ]; - } - }, - - css: function( elem, name, extra, styles ) { - var val, num, hooks, - origName = camelCase( name ), - isCustomProp = rcustomProp.test( name ); - - // Make sure that we're working with the right name. We don't - // want to modify the value if it is a CSS custom property - // since they are user-defined. - if ( !isCustomProp ) { - name = finalPropName( origName ); - } - - // Try prefixed name followed by the unprefixed name - hooks = jQuery.cssHooks[ name ] || jQuery.cssHooks[ origName ]; - - // If a hook was provided get the computed value from there - if ( hooks && "get" in hooks ) { - val = hooks.get( elem, true, extra ); - } - - // Otherwise, if a way to get the computed value exists, use that - if ( val === undefined ) { - val = curCSS( elem, name, styles ); - } - - // Convert "normal" to computed value - if ( val === "normal" && name in cssNormalTransform ) { - val = cssNormalTransform[ name ]; - } - - // Make numeric if forced or a qualifier was provided and val looks numeric - if ( extra === "" || extra ) { - num = parseFloat( val ); - return extra === true || isFinite( num ) ? num || 0 : val; - } - - return val; - } -} ); - -jQuery.each( [ "height", "width" ], function( _i, dimension ) { - jQuery.cssHooks[ dimension ] = { - get: function( elem, computed, extra ) { - if ( computed ) { - - // Certain elements can have dimension info if we invisibly show them - // but it must have a current display style that would benefit - return rdisplayswap.test( jQuery.css( elem, "display" ) ) && - - // Support: Safari 8+ - // Table columns in Safari have non-zero offsetWidth & zero - // getBoundingClientRect().width unless display is changed. - // Support: IE <=11 only - // Running getBoundingClientRect on a disconnected node - // in IE throws an error. - ( !elem.getClientRects().length || !elem.getBoundingClientRect().width ) ? - swap( elem, cssShow, function() { - return getWidthOrHeight( elem, dimension, extra ); - } ) : - getWidthOrHeight( elem, dimension, extra ); - } - }, - - set: function( elem, value, extra ) { - var matches, - styles = getStyles( elem ), - - // Only read styles.position if the test has a chance to fail - // to avoid forcing a reflow. - scrollboxSizeBuggy = !support.scrollboxSize() && - styles.position === "absolute", - - // To avoid forcing a reflow, only fetch boxSizing if we need it (gh-3991) - boxSizingNeeded = scrollboxSizeBuggy || extra, - isBorderBox = boxSizingNeeded && - jQuery.css( elem, "boxSizing", false, styles ) === "border-box", - subtract = extra ? - boxModelAdjustment( - elem, - dimension, - extra, - isBorderBox, - styles - ) : - 0; - - // Account for unreliable border-box dimensions by comparing offset* to computed and - // faking a content-box to get border and padding (gh-3699) - if ( isBorderBox && scrollboxSizeBuggy ) { - subtract -= Math.ceil( - elem[ "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 ) ] - - parseFloat( styles[ dimension ] ) - - boxModelAdjustment( elem, dimension, "border", false, styles ) - - 0.5 - ); - } - - // Convert to pixels if value adjustment is needed - if ( subtract && ( matches = rcssNum.exec( value ) ) && - ( matches[ 3 ] || "px" ) !== "px" ) { - - elem.style[ dimension ] = value; - value = jQuery.css( elem, dimension ); - } - - return setPositiveNumber( elem, value, subtract ); - } - }; -} ); - -jQuery.cssHooks.marginLeft = addGetHookIf( support.reliableMarginLeft, - function( elem, computed ) { - if ( computed ) { - return ( parseFloat( curCSS( elem, "marginLeft" ) ) || - elem.getBoundingClientRect().left - - swap( elem, { marginLeft: 0 }, function() { - return elem.getBoundingClientRect().left; - } ) - ) + "px"; - } - } -); - -// These hooks are used by animate to expand properties -jQuery.each( { - margin: "", - padding: "", - border: "Width" -}, function( prefix, suffix ) { - jQuery.cssHooks[ prefix + suffix ] = { - expand: function( value ) { - var i = 0, - expanded = {}, - - // Assumes a single number if not a string - parts = typeof value === "string" ? value.split( " " ) : [ value ]; - - for ( ; i < 4; i++ ) { - expanded[ prefix + cssExpand[ i ] + suffix ] = - parts[ i ] || parts[ i - 2 ] || parts[ 0 ]; - } - - return expanded; - } - }; - - if ( prefix !== "margin" ) { - jQuery.cssHooks[ prefix + suffix ].set = setPositiveNumber; - } -} ); - -jQuery.fn.extend( { - css: function( name, value ) { - return access( this, function( elem, name, value ) { - var styles, len, - map = {}, - i = 0; - - if ( Array.isArray( name ) ) { - styles = getStyles( elem ); - len = name.length; - - for ( ; i < len; i++ ) { - map[ name[ i ] ] = jQuery.css( elem, name[ i ], false, styles ); - } - - return map; - } - - return value !== undefined ? - jQuery.style( elem, name, value ) : - jQuery.css( elem, name ); - }, name, value, arguments.length > 1 ); - } -} ); - - -function Tween( elem, options, prop, end, easing ) { - return new Tween.prototype.init( elem, options, prop, end, easing ); -} -jQuery.Tween = Tween; - -Tween.prototype = { - constructor: Tween, - init: function( elem, options, prop, end, easing, unit ) { - this.elem = elem; - this.prop = prop; - this.easing = easing || jQuery.easing._default; - this.options = options; - this.start = this.now = this.cur(); - this.end = end; - this.unit = unit || ( jQuery.cssNumber[ prop ] ? "" : "px" ); - }, - cur: function() { - var hooks = Tween.propHooks[ this.prop ]; - - return hooks && hooks.get ? - hooks.get( this ) : - Tween.propHooks._default.get( this ); - }, - run: function( percent ) { - var eased, - hooks = Tween.propHooks[ this.prop ]; - - if ( this.options.duration ) { - this.pos = eased = jQuery.easing[ this.easing ]( - percent, this.options.duration * percent, 0, 1, this.options.duration - ); - } else { - this.pos = eased = percent; - } - this.now = ( this.end - this.start ) * eased + this.start; - - if ( this.options.step ) { - this.options.step.call( this.elem, this.now, this ); - } - - if ( hooks && hooks.set ) { - hooks.set( this ); - } else { - Tween.propHooks._default.set( this ); - } - return this; - } -}; - -Tween.prototype.init.prototype = Tween.prototype; - -Tween.propHooks = { - _default: { - get: function( tween ) { - var result; - - // Use a property on the element directly when it is not a DOM element, - // or when there is no matching style property that exists. - if ( tween.elem.nodeType !== 1 || - tween.elem[ tween.prop ] != null && tween.elem.style[ tween.prop ] == null ) { - return tween.elem[ tween.prop ]; - } - - // Passing an empty string as a 3rd parameter to .css will automatically - // attempt a parseFloat and fallback to a string if the parse fails. - // Simple values such as "10px" are parsed to Float; - // complex values such as "rotate(1rad)" are returned as-is. - result = jQuery.css( tween.elem, tween.prop, "" ); - - // Empty strings, null, undefined and "auto" are converted to 0. - return !result || result === "auto" ? 0 : result; - }, - set: function( tween ) { - - // Use step hook for back compat. - // Use cssHook if its there. - // Use .style if available and use plain properties where available. - if ( jQuery.fx.step[ tween.prop ] ) { - jQuery.fx.step[ tween.prop ]( tween ); - } else if ( tween.elem.nodeType === 1 && ( - jQuery.cssHooks[ tween.prop ] || - tween.elem.style[ finalPropName( tween.prop ) ] != null ) ) { - jQuery.style( tween.elem, tween.prop, tween.now + tween.unit ); - } else { - tween.elem[ tween.prop ] = tween.now; - } - } - } -}; - -// Support: IE <=9 only -// Panic based approach to setting things on disconnected nodes -Tween.propHooks.scrollTop = Tween.propHooks.scrollLeft = { - set: function( tween ) { - if ( tween.elem.nodeType && tween.elem.parentNode ) { - tween.elem[ tween.prop ] = tween.now; - } - } -}; - -jQuery.easing = { - linear: function( p ) { - return p; - }, - swing: function( p ) { - return 0.5 - Math.cos( p * Math.PI ) / 2; - }, - _default: "swing" -}; - -jQuery.fx = Tween.prototype.init; - -// Back compat <1.8 extension point -jQuery.fx.step = {}; - - - - -var - fxNow, inProgress, - rfxtypes = /^(?:toggle|show|hide)$/, - rrun = /queueHooks$/; - -function schedule() { - if ( inProgress ) { - if ( document.hidden === false && window.requestAnimationFrame ) { - window.requestAnimationFrame( schedule ); - } else { - window.setTimeout( schedule, jQuery.fx.interval ); - } - - jQuery.fx.tick(); - } -} - -// Animations created synchronously will run synchronously -function createFxNow() { - window.setTimeout( function() { - fxNow = undefined; - } ); - return ( fxNow = Date.now() ); -} - -// Generate parameters to create a standard animation -function genFx( type, includeWidth ) { - var which, - i = 0, - attrs = { height: type }; - - // If we include width, step value is 1 to do all cssExpand values, - // otherwise step value is 2 to skip over Left and Right - includeWidth = includeWidth ? 1 : 0; - for ( ; i < 4; i += 2 - includeWidth ) { - which = cssExpand[ i ]; - attrs[ "margin" + which ] = attrs[ "padding" + which ] = type; - } - - if ( includeWidth ) { - attrs.opacity = attrs.width = type; - } - - return attrs; -} - -function createTween( value, prop, animation ) { - var tween, - collection = ( Animation.tweeners[ prop ] || [] ).concat( Animation.tweeners[ "*" ] ), - index = 0, - length = collection.length; - for ( ; index < length; index++ ) { - if ( ( tween = collection[ index ].call( animation, prop, value ) ) ) { - - // We're done with this property - return tween; - } - } -} - -function defaultPrefilter( elem, props, opts ) { - var prop, value, toggle, hooks, oldfire, propTween, restoreDisplay, display, - isBox = "width" in props || "height" in props, - anim = this, - orig = {}, - style = elem.style, - hidden = elem.nodeType && isHiddenWithinTree( elem ), - dataShow = dataPriv.get( elem, "fxshow" ); - - // Queue-skipping animations hijack the fx hooks - if ( !opts.queue ) { - hooks = jQuery._queueHooks( elem, "fx" ); - if ( hooks.unqueued == null ) { - hooks.unqueued = 0; - oldfire = hooks.empty.fire; - hooks.empty.fire = function() { - if ( !hooks.unqueued ) { - oldfire(); - } - }; - } - hooks.unqueued++; - - anim.always( function() { - - // Ensure the complete handler is called before this completes - anim.always( function() { - hooks.unqueued--; - if ( !jQuery.queue( elem, "fx" ).length ) { - hooks.empty.fire(); - } - } ); - } ); - } - - // Detect show/hide animations - for ( prop in props ) { - value = props[ prop ]; - if ( rfxtypes.test( value ) ) { - delete props[ prop ]; - toggle = toggle || value === "toggle"; - if ( value === ( hidden ? "hide" : "show" ) ) { - - // Pretend to be hidden if this is a "show" and - // there is still data from a stopped show/hide - if ( value === "show" && dataShow && dataShow[ prop ] !== undefined ) { - hidden = true; - - // Ignore all other no-op show/hide data - } else { - continue; - } - } - orig[ prop ] = dataShow && dataShow[ prop ] || jQuery.style( elem, prop ); - } - } - - // Bail out if this is a no-op like .hide().hide() - propTween = !jQuery.isEmptyObject( props ); - if ( !propTween && jQuery.isEmptyObject( orig ) ) { - return; - } - - // Restrict "overflow" and "display" styles during box animations - if ( isBox && elem.nodeType === 1 ) { - - // Support: IE <=9 - 11, Edge 12 - 15 - // Record all 3 overflow attributes because IE does not infer the shorthand - // from identically-valued overflowX and overflowY and Edge just mirrors - // the overflowX value there. - opts.overflow = [ style.overflow, style.overflowX, style.overflowY ]; - - // Identify a display type, preferring old show/hide data over the CSS cascade - restoreDisplay = dataShow && dataShow.display; - if ( restoreDisplay == null ) { - restoreDisplay = dataPriv.get( elem, "display" ); - } - display = jQuery.css( elem, "display" ); - if ( display === "none" ) { - if ( restoreDisplay ) { - display = restoreDisplay; - } else { - - // Get nonempty value(s) by temporarily forcing visibility - showHide( [ elem ], true ); - restoreDisplay = elem.style.display || restoreDisplay; - display = jQuery.css( elem, "display" ); - showHide( [ elem ] ); - } - } - - // Animate inline elements as inline-block - if ( display === "inline" || display === "inline-block" && restoreDisplay != null ) { - if ( jQuery.css( elem, "float" ) === "none" ) { - - // Restore the original display value at the end of pure show/hide animations - if ( !propTween ) { - anim.done( function() { - style.display = restoreDisplay; - } ); - if ( restoreDisplay == null ) { - display = style.display; - restoreDisplay = display === "none" ? "" : display; - } - } - style.display = "inline-block"; - } - } - } - - if ( opts.overflow ) { - style.overflow = "hidden"; - anim.always( function() { - style.overflow = opts.overflow[ 0 ]; - style.overflowX = opts.overflow[ 1 ]; - style.overflowY = opts.overflow[ 2 ]; - } ); - } - - // Implement show/hide animations - propTween = false; - for ( prop in orig ) { - - // General show/hide setup for this element animation - if ( !propTween ) { - if ( dataShow ) { - if ( "hidden" in dataShow ) { - hidden = dataShow.hidden; - } - } else { - dataShow = dataPriv.access( elem, "fxshow", { display: restoreDisplay } ); - } - - // Store hidden/visible for toggle so `.stop().toggle()` "reverses" - if ( toggle ) { - dataShow.hidden = !hidden; - } - - // Show elements before animating them - if ( hidden ) { - showHide( [ elem ], true ); - } - - /* eslint-disable no-loop-func */ - - anim.done( function() { - - /* eslint-enable no-loop-func */ - - // The final step of a "hide" animation is actually hiding the element - if ( !hidden ) { - showHide( [ elem ] ); - } - dataPriv.remove( elem, "fxshow" ); - for ( prop in orig ) { - jQuery.style( elem, prop, orig[ prop ] ); - } - } ); - } - - // Per-property setup - propTween = createTween( hidden ? dataShow[ prop ] : 0, prop, anim ); - if ( !( prop in dataShow ) ) { - dataShow[ prop ] = propTween.start; - if ( hidden ) { - propTween.end = propTween.start; - propTween.start = 0; - } - } - } -} - -function propFilter( props, specialEasing ) { - var index, name, easing, value, hooks; - - // camelCase, specialEasing and expand cssHook pass - for ( index in props ) { - name = camelCase( index ); - easing = specialEasing[ name ]; - value = props[ index ]; - if ( Array.isArray( value ) ) { - easing = value[ 1 ]; - value = props[ index ] = value[ 0 ]; - } - - if ( index !== name ) { - props[ name ] = value; - delete props[ index ]; - } - - hooks = jQuery.cssHooks[ name ]; - if ( hooks && "expand" in hooks ) { - value = hooks.expand( value ); - delete props[ name ]; - - // Not quite $.extend, this won't overwrite existing keys. - // Reusing 'index' because we have the correct "name" - for ( index in value ) { - if ( !( index in props ) ) { - props[ index ] = value[ index ]; - specialEasing[ index ] = easing; - } - } - } else { - specialEasing[ name ] = easing; - } - } -} - -function Animation( elem, properties, options ) { - var result, - stopped, - index = 0, - length = Animation.prefilters.length, - deferred = jQuery.Deferred().always( function() { - - // Don't match elem in the :animated selector - delete tick.elem; - } ), - tick = function() { - if ( stopped ) { - return false; - } - var currentTime = fxNow || createFxNow(), - remaining = Math.max( 0, animation.startTime + animation.duration - currentTime ), - - // Support: Android 2.3 only - // Archaic crash bug won't allow us to use `1 - ( 0.5 || 0 )` (#12497) - temp = remaining / animation.duration || 0, - percent = 1 - temp, - index = 0, - length = animation.tweens.length; - - for ( ; index < length; index++ ) { - animation.tweens[ index ].run( percent ); - } - - deferred.notifyWith( elem, [ animation, percent, remaining ] ); - - // If there's more to do, yield - if ( percent < 1 && length ) { - return remaining; - } - - // If this was an empty animation, synthesize a final progress notification - if ( !length ) { - deferred.notifyWith( elem, [ animation, 1, 0 ] ); - } - - // Resolve the animation and report its conclusion - deferred.resolveWith( elem, [ animation ] ); - return false; - }, - animation = deferred.promise( { - elem: elem, - props: jQuery.extend( {}, properties ), - opts: jQuery.extend( true, { - specialEasing: {}, - easing: jQuery.easing._default - }, options ), - originalProperties: properties, - originalOptions: options, - startTime: fxNow || createFxNow(), - duration: options.duration, - tweens: [], - createTween: function( prop, end ) { - var tween = jQuery.Tween( elem, animation.opts, prop, end, - animation.opts.specialEasing[ prop ] || animation.opts.easing ); - animation.tweens.push( tween ); - return tween; - }, - stop: function( gotoEnd ) { - var index = 0, - - // If we are going to the end, we want to run all the tweens - // otherwise we skip this part - length = gotoEnd ? animation.tweens.length : 0; - if ( stopped ) { - return this; - } - stopped = true; - for ( ; index < length; index++ ) { - animation.tweens[ index ].run( 1 ); - } - - // Resolve when we played the last frame; otherwise, reject - if ( gotoEnd ) { - deferred.notifyWith( elem, [ animation, 1, 0 ] ); - deferred.resolveWith( elem, [ animation, gotoEnd ] ); - } else { - deferred.rejectWith( elem, [ animation, gotoEnd ] ); - } - return this; - } - } ), - props = animation.props; - - propFilter( props, animation.opts.specialEasing ); - - for ( ; index < length; index++ ) { - result = Animation.prefilters[ index ].call( animation, elem, props, animation.opts ); - if ( result ) { - if ( isFunction( result.stop ) ) { - jQuery._queueHooks( animation.elem, animation.opts.queue ).stop = - result.stop.bind( result ); - } - return result; - } - } - - jQuery.map( props, createTween, animation ); - - if ( isFunction( animation.opts.start ) ) { - animation.opts.start.call( elem, animation ); - } - - // Attach callbacks from options - animation - .progress( animation.opts.progress ) - .done( animation.opts.done, animation.opts.complete ) - .fail( animation.opts.fail ) - .always( animation.opts.always ); - - jQuery.fx.timer( - jQuery.extend( tick, { - elem: elem, - anim: animation, - queue: animation.opts.queue - } ) - ); - - return animation; -} - -jQuery.Animation = jQuery.extend( Animation, { - - tweeners: { - "*": [ function( prop, value ) { - var tween = this.createTween( prop, value ); - adjustCSS( tween.elem, prop, rcssNum.exec( value ), tween ); - return tween; - } ] - }, - - tweener: function( props, callback ) { - if ( isFunction( props ) ) { - callback = props; - props = [ "*" ]; - } else { - props = props.match( rnothtmlwhite ); - } - - var prop, - index = 0, - length = props.length; - - for ( ; index < length; index++ ) { - prop = props[ index ]; - Animation.tweeners[ prop ] = Animation.tweeners[ prop ] || []; - Animation.tweeners[ prop ].unshift( callback ); - } - }, - - prefilters: [ defaultPrefilter ], - - prefilter: function( callback, prepend ) { - if ( prepend ) { - Animation.prefilters.unshift( callback ); - } else { - Animation.prefilters.push( callback ); - } - } -} ); - -jQuery.speed = function( speed, easing, fn ) { - var opt = speed && typeof speed === "object" ? jQuery.extend( {}, speed ) : { - complete: fn || !fn && easing || - isFunction( speed ) && speed, - duration: speed, - easing: fn && easing || easing && !isFunction( easing ) && easing - }; - - // Go to the end state if fx are off - if ( jQuery.fx.off ) { - opt.duration = 0; - - } else { - if ( typeof opt.duration !== "number" ) { - if ( opt.duration in jQuery.fx.speeds ) { - opt.duration = jQuery.fx.speeds[ opt.duration ]; - - } else { - opt.duration = jQuery.fx.speeds._default; - } - } - } - - // Normalize opt.queue - true/undefined/null -> "fx" - if ( opt.queue == null || opt.queue === true ) { - opt.queue = "fx"; - } - - // Queueing - opt.old = opt.complete; - - opt.complete = function() { - if ( isFunction( opt.old ) ) { - opt.old.call( this ); - } - - if ( opt.queue ) { - jQuery.dequeue( this, opt.queue ); - } - }; - - return opt; -}; - -jQuery.fn.extend( { - fadeTo: function( speed, to, easing, callback ) { - - // Show any hidden elements after setting opacity to 0 - return this.filter( isHiddenWithinTree ).css( "opacity", 0 ).show() - - // Animate to the value specified - .end().animate( { opacity: to }, speed, easing, callback ); - }, - animate: function( prop, speed, easing, callback ) { - var empty = jQuery.isEmptyObject( prop ), - optall = jQuery.speed( speed, easing, callback ), - doAnimation = function() { - - // Operate on a copy of prop so per-property easing won't be lost - var anim = Animation( this, jQuery.extend( {}, prop ), optall ); - - // Empty animations, or finishing resolves immediately - if ( empty || dataPriv.get( this, "finish" ) ) { - anim.stop( true ); - } - }; - - doAnimation.finish = doAnimation; - - return empty || optall.queue === false ? - this.each( doAnimation ) : - this.queue( optall.queue, doAnimation ); - }, - stop: function( type, clearQueue, gotoEnd ) { - var stopQueue = function( hooks ) { - var stop = hooks.stop; - delete hooks.stop; - stop( gotoEnd ); - }; - - if ( typeof type !== "string" ) { - gotoEnd = clearQueue; - clearQueue = type; - type = undefined; - } - if ( clearQueue ) { - this.queue( type || "fx", [] ); - } - - return this.each( function() { - var dequeue = true, - index = type != null && type + "queueHooks", - timers = jQuery.timers, - data = dataPriv.get( this ); - - if ( index ) { - if ( data[ index ] && data[ index ].stop ) { - stopQueue( data[ index ] ); - } - } else { - for ( index in data ) { - if ( data[ index ] && data[ index ].stop && rrun.test( index ) ) { - stopQueue( data[ index ] ); - } - } - } - - for ( index = timers.length; index--; ) { - if ( timers[ index ].elem === this && - ( type == null || timers[ index ].queue === type ) ) { - - timers[ index ].anim.stop( gotoEnd ); - dequeue = false; - timers.splice( index, 1 ); - } - } - - // Start the next in the queue if the last step wasn't forced. - // Timers currently will call their complete callbacks, which - // will dequeue but only if they were gotoEnd. - if ( dequeue || !gotoEnd ) { - jQuery.dequeue( this, type ); - } - } ); - }, - finish: function( type ) { - if ( type !== false ) { - type = type || "fx"; - } - return this.each( function() { - var index, - data = dataPriv.get( this ), - queue = data[ type + "queue" ], - hooks = data[ type + "queueHooks" ], - timers = jQuery.timers, - length = queue ? queue.length : 0; - - // Enable finishing flag on private data - data.finish = true; - - // Empty the queue first - jQuery.queue( this, type, [] ); - - if ( hooks && hooks.stop ) { - hooks.stop.call( this, true ); - } - - // Look for any active animations, and finish them - for ( index = timers.length; index--; ) { - if ( timers[ index ].elem === this && timers[ index ].queue === type ) { - timers[ index ].anim.stop( true ); - timers.splice( index, 1 ); - } - } - - // Look for any animations in the old queue and finish them - for ( index = 0; index < length; index++ ) { - if ( queue[ index ] && queue[ index ].finish ) { - queue[ index ].finish.call( this ); - } - } - - // Turn off finishing flag - delete data.finish; - } ); - } -} ); - -jQuery.each( [ "toggle", "show", "hide" ], function( _i, name ) { - var cssFn = jQuery.fn[ name ]; - jQuery.fn[ name ] = function( speed, easing, callback ) { - return speed == null || typeof speed === "boolean" ? - cssFn.apply( this, arguments ) : - this.animate( genFx( name, true ), speed, easing, callback ); - }; -} ); - -// Generate shortcuts for custom animations -jQuery.each( { - slideDown: genFx( "show" ), - slideUp: genFx( "hide" ), - slideToggle: genFx( "toggle" ), - fadeIn: { opacity: "show" }, - fadeOut: { opacity: "hide" }, - fadeToggle: { opacity: "toggle" } -}, function( name, props ) { - jQuery.fn[ name ] = function( speed, easing, callback ) { - return this.animate( props, speed, easing, callback ); - }; -} ); - -jQuery.timers = []; -jQuery.fx.tick = function() { - var timer, - i = 0, - timers = jQuery.timers; - - fxNow = Date.now(); - - for ( ; i < timers.length; i++ ) { - timer = timers[ i ]; - - // Run the timer and safely remove it when done (allowing for external removal) - if ( !timer() && timers[ i ] === timer ) { - timers.splice( i--, 1 ); - } - } - - if ( !timers.length ) { - jQuery.fx.stop(); - } - fxNow = undefined; -}; - -jQuery.fx.timer = function( timer ) { - jQuery.timers.push( timer ); - jQuery.fx.start(); -}; - -jQuery.fx.interval = 13; -jQuery.fx.start = function() { - if ( inProgress ) { - return; - } - - inProgress = true; - schedule(); -}; - -jQuery.fx.stop = function() { - inProgress = null; -}; - -jQuery.fx.speeds = { - slow: 600, - fast: 200, - - // Default speed - _default: 400 -}; - - -// Based off of the plugin by Clint Helfers, with permission. -// https://web.archive.org/web/20100324014747/http://blindsignals.com/index.php/2009/07/jquery-delay/ -jQuery.fn.delay = function( time, type ) { - time = jQuery.fx ? jQuery.fx.speeds[ time ] || time : time; - type = type || "fx"; - - return this.queue( type, function( next, hooks ) { - var timeout = window.setTimeout( next, time ); - hooks.stop = function() { - window.clearTimeout( timeout ); - }; - } ); -}; - - -( function() { - var input = document.createElement( "input" ), - select = document.createElement( "select" ), - opt = select.appendChild( document.createElement( "option" ) ); - - input.type = "checkbox"; - - // Support: Android <=4.3 only - // Default value for a checkbox should be "on" - support.checkOn = input.value !== ""; - - // Support: IE <=11 only - // Must access selectedIndex to make default options select - support.optSelected = opt.selected; - - // Support: IE <=11 only - // An input loses its value after becoming a radio - input = document.createElement( "input" ); - input.value = "t"; - input.type = "radio"; - support.radioValue = input.value === "t"; -} )(); - - -var boolHook, - attrHandle = jQuery.expr.attrHandle; - -jQuery.fn.extend( { - attr: function( name, value ) { - return access( this, jQuery.attr, name, value, arguments.length > 1 ); - }, - - removeAttr: function( name ) { - return this.each( function() { - jQuery.removeAttr( this, name ); - } ); - } -} ); - -jQuery.extend( { - attr: function( elem, name, value ) { - var ret, hooks, - nType = elem.nodeType; - - // Don't get/set attributes on text, comment and attribute nodes - if ( nType === 3 || nType === 8 || nType === 2 ) { - return; - } - - // Fallback to prop when attributes are not supported - if ( typeof elem.getAttribute === "undefined" ) { - return jQuery.prop( elem, name, value ); - } - - // Attribute hooks are determined by the lowercase version - // Grab necessary hook if one is defined - if ( nType !== 1 || !jQuery.isXMLDoc( elem ) ) { - hooks = jQuery.attrHooks[ name.toLowerCase() ] || - ( jQuery.expr.match.bool.test( name ) ? boolHook : undefined ); - } - - if ( value !== undefined ) { - if ( value === null ) { - jQuery.removeAttr( elem, name ); - return; - } - - if ( hooks && "set" in hooks && - ( ret = hooks.set( elem, value, name ) ) !== undefined ) { - return ret; - } - - elem.setAttribute( name, value + "" ); - return value; - } - - if ( hooks && "get" in hooks && ( ret = hooks.get( elem, name ) ) !== null ) { - return ret; - } - - ret = jQuery.find.attr( elem, name ); - - // Non-existent attributes return null, we normalize to undefined - return ret == null ? undefined : ret; - }, - - attrHooks: { - type: { - set: function( elem, value ) { - if ( !support.radioValue && value === "radio" && - nodeName( elem, "input" ) ) { - var val = elem.value; - elem.setAttribute( "type", value ); - if ( val ) { - elem.value = val; - } - return value; - } - } - } - }, - - removeAttr: function( elem, value ) { - var name, - i = 0, - - // Attribute names can contain non-HTML whitespace characters - // https://html.spec.whatwg.org/multipage/syntax.html#attributes-2 - attrNames = value && value.match( rnothtmlwhite ); - - if ( attrNames && elem.nodeType === 1 ) { - while ( ( name = attrNames[ i++ ] ) ) { - elem.removeAttribute( name ); - } - } - } -} ); - -// Hooks for boolean attributes -boolHook = { - set: function( elem, value, name ) { - if ( value === false ) { - - // Remove boolean attributes when set to false - jQuery.removeAttr( elem, name ); - } else { - elem.setAttribute( name, name ); - } - return name; - } -}; - -jQuery.each( jQuery.expr.match.bool.source.match( /\w+/g ), function( _i, name ) { - var getter = attrHandle[ name ] || jQuery.find.attr; - - attrHandle[ name ] = function( elem, name, isXML ) { - var ret, handle, - lowercaseName = name.toLowerCase(); - - if ( !isXML ) { - - // Avoid an infinite loop by temporarily removing this function from the getter - handle = attrHandle[ lowercaseName ]; - attrHandle[ lowercaseName ] = ret; - ret = getter( elem, name, isXML ) != null ? - lowercaseName : - null; - attrHandle[ lowercaseName ] = handle; - } - return ret; - }; -} ); - - - - -var rfocusable = /^(?:input|select|textarea|button)$/i, - rclickable = /^(?:a|area)$/i; - -jQuery.fn.extend( { - prop: function( name, value ) { - return access( this, jQuery.prop, name, value, arguments.length > 1 ); - }, - - removeProp: function( name ) { - return this.each( function() { - delete this[ jQuery.propFix[ name ] || name ]; - } ); - } -} ); - -jQuery.extend( { - prop: function( elem, name, value ) { - var ret, hooks, - nType = elem.nodeType; - - // Don't get/set properties on text, comment and attribute nodes - if ( nType === 3 || nType === 8 || nType === 2 ) { - return; - } - - if ( nType !== 1 || !jQuery.isXMLDoc( elem ) ) { - - // Fix name and attach hooks - name = jQuery.propFix[ name ] || name; - hooks = jQuery.propHooks[ name ]; - } - - if ( value !== undefined ) { - if ( hooks && "set" in hooks && - ( ret = hooks.set( elem, value, name ) ) !== undefined ) { - return ret; - } - - return ( elem[ name ] = value ); - } - - if ( hooks && "get" in hooks && ( ret = hooks.get( elem, name ) ) !== null ) { - return ret; - } - - return elem[ name ]; - }, - - propHooks: { - tabIndex: { - get: function( elem ) { - - // Support: IE <=9 - 11 only - // elem.tabIndex doesn't always return the - // correct value when it hasn't been explicitly set - // https://web.archive.org/web/20141116233347/http://fluidproject.org/blog/2008/01/09/getting-setting-and-removing-tabindex-values-with-javascript/ - // Use proper attribute retrieval(#12072) - var tabindex = jQuery.find.attr( elem, "tabindex" ); - - if ( tabindex ) { - return parseInt( tabindex, 10 ); - } - - if ( - rfocusable.test( elem.nodeName ) || - rclickable.test( elem.nodeName ) && - elem.href - ) { - return 0; - } - - return -1; - } - } - }, - - propFix: { - "for": "htmlFor", - "class": "className" - } -} ); - -// Support: IE <=11 only -// Accessing the selectedIndex property -// forces the browser to respect setting selected -// on the option -// The getter ensures a default option is selected -// when in an optgroup -// eslint rule "no-unused-expressions" is disabled for this code -// since it considers such accessions noop -if ( !support.optSelected ) { - jQuery.propHooks.selected = { - get: function( elem ) { - - /* eslint no-unused-expressions: "off" */ - - var parent = elem.parentNode; - if ( parent && parent.parentNode ) { - parent.parentNode.selectedIndex; - } - return null; - }, - set: function( elem ) { - - /* eslint no-unused-expressions: "off" */ - - var parent = elem.parentNode; - if ( parent ) { - parent.selectedIndex; - - if ( parent.parentNode ) { - parent.parentNode.selectedIndex; - } - } - } - }; -} - -jQuery.each( [ - "tabIndex", - "readOnly", - "maxLength", - "cellSpacing", - "cellPadding", - "rowSpan", - "colSpan", - "useMap", - "frameBorder", - "contentEditable" -], function() { - jQuery.propFix[ this.toLowerCase() ] = this; -} ); - - - - - // Strip and collapse whitespace according to HTML spec - // https://infra.spec.whatwg.org/#strip-and-collapse-ascii-whitespace - function stripAndCollapse( value ) { - var tokens = value.match( rnothtmlwhite ) || []; - return tokens.join( " " ); - } - - -function getClass( elem ) { - return elem.getAttribute && elem.getAttribute( "class" ) || ""; -} - -function classesToArray( value ) { - if ( Array.isArray( value ) ) { - return value; - } - if ( typeof value === "string" ) { - return value.match( rnothtmlwhite ) || []; - } - return []; -} - -jQuery.fn.extend( { - addClass: function( value ) { - var classes, elem, cur, curValue, clazz, j, finalValue, - i = 0; - - if ( isFunction( value ) ) { - return this.each( function( j ) { - jQuery( this ).addClass( value.call( this, j, getClass( this ) ) ); - } ); - } - - classes = classesToArray( value ); - - if ( classes.length ) { - while ( ( elem = this[ i++ ] ) ) { - curValue = getClass( elem ); - cur = elem.nodeType === 1 && ( " " + stripAndCollapse( curValue ) + " " ); - - if ( cur ) { - j = 0; - while ( ( clazz = classes[ j++ ] ) ) { - if ( cur.indexOf( " " + clazz + " " ) < 0 ) { - cur += clazz + " "; - } - } - - // Only assign if different to avoid unneeded rendering. - finalValue = stripAndCollapse( cur ); - if ( curValue !== finalValue ) { - elem.setAttribute( "class", finalValue ); - } - } - } - } - - return this; - }, - - removeClass: function( value ) { - var classes, elem, cur, curValue, clazz, j, finalValue, - i = 0; - - if ( isFunction( value ) ) { - return this.each( function( j ) { - jQuery( this ).removeClass( value.call( this, j, getClass( this ) ) ); - } ); - } - - if ( !arguments.length ) { - return this.attr( "class", "" ); - } - - classes = classesToArray( value ); - - if ( classes.length ) { - while ( ( elem = this[ i++ ] ) ) { - curValue = getClass( elem ); - - // This expression is here for better compressibility (see addClass) - cur = elem.nodeType === 1 && ( " " + stripAndCollapse( curValue ) + " " ); - - if ( cur ) { - j = 0; - while ( ( clazz = classes[ j++ ] ) ) { - - // Remove *all* instances - while ( cur.indexOf( " " + clazz + " " ) > -1 ) { - cur = cur.replace( " " + clazz + " ", " " ); - } - } - - // Only assign if different to avoid unneeded rendering. - finalValue = stripAndCollapse( cur ); - if ( curValue !== finalValue ) { - elem.setAttribute( "class", finalValue ); - } - } - } - } - - return this; - }, - - toggleClass: function( value, stateVal ) { - var type = typeof value, - isValidValue = type === "string" || Array.isArray( value ); - - if ( typeof stateVal === "boolean" && isValidValue ) { - return stateVal ? this.addClass( value ) : this.removeClass( value ); - } - - if ( isFunction( value ) ) { - return this.each( function( i ) { - jQuery( this ).toggleClass( - value.call( this, i, getClass( this ), stateVal ), - stateVal - ); - } ); - } - - return this.each( function() { - var className, i, self, classNames; - - if ( isValidValue ) { - - // Toggle individual class names - i = 0; - self = jQuery( this ); - classNames = classesToArray( value ); - - while ( ( className = classNames[ i++ ] ) ) { - - // Check each className given, space separated list - if ( self.hasClass( className ) ) { - self.removeClass( className ); - } else { - self.addClass( className ); - } - } - - // Toggle whole class name - } else if ( value === undefined || type === "boolean" ) { - className = getClass( this ); - if ( className ) { - - // Store className if set - dataPriv.set( this, "__className__", className ); - } - - // If the element has a class name or if we're passed `false`, - // then remove the whole classname (if there was one, the above saved it). - // Otherwise bring back whatever was previously saved (if anything), - // falling back to the empty string if nothing was stored. - if ( this.setAttribute ) { - this.setAttribute( "class", - className || value === false ? - "" : - dataPriv.get( this, "__className__" ) || "" - ); - } - } - } ); - }, - - hasClass: function( selector ) { - var className, elem, - i = 0; - - className = " " + selector + " "; - while ( ( elem = this[ i++ ] ) ) { - if ( elem.nodeType === 1 && - ( " " + stripAndCollapse( getClass( elem ) ) + " " ).indexOf( className ) > -1 ) { - return true; - } - } - - return false; - } -} ); - - - - -var rreturn = /\r/g; - -jQuery.fn.extend( { - val: function( value ) { - var hooks, ret, valueIsFunction, - elem = this[ 0 ]; - - if ( !arguments.length ) { - if ( elem ) { - hooks = jQuery.valHooks[ elem.type ] || - jQuery.valHooks[ elem.nodeName.toLowerCase() ]; - - if ( hooks && - "get" in hooks && - ( ret = hooks.get( elem, "value" ) ) !== undefined - ) { - return ret; - } - - ret = elem.value; - - // Handle most common string cases - if ( typeof ret === "string" ) { - return ret.replace( rreturn, "" ); - } - - // Handle cases where value is null/undef or number - return ret == null ? "" : ret; - } - - return; - } - - valueIsFunction = isFunction( value ); - - return this.each( function( i ) { - var val; - - if ( this.nodeType !== 1 ) { - return; - } - - if ( valueIsFunction ) { - val = value.call( this, i, jQuery( this ).val() ); - } else { - val = value; - } - - // Treat null/undefined as ""; convert numbers to string - if ( val == null ) { - val = ""; - - } else if ( typeof val === "number" ) { - val += ""; - - } else if ( Array.isArray( val ) ) { - val = jQuery.map( val, function( value ) { - return value == null ? "" : value + ""; - } ); - } - - hooks = jQuery.valHooks[ this.type ] || jQuery.valHooks[ this.nodeName.toLowerCase() ]; - - // If set returns undefined, fall back to normal setting - if ( !hooks || !( "set" in hooks ) || hooks.set( this, val, "value" ) === undefined ) { - this.value = val; - } - } ); - } -} ); - -jQuery.extend( { - valHooks: { - option: { - get: function( elem ) { - - var val = jQuery.find.attr( elem, "value" ); - return val != null ? - val : - - // Support: IE <=10 - 11 only - // option.text throws exceptions (#14686, #14858) - // Strip and collapse whitespace - // https://html.spec.whatwg.org/#strip-and-collapse-whitespace - stripAndCollapse( jQuery.text( elem ) ); - } - }, - select: { - get: function( elem ) { - var value, option, i, - options = elem.options, - index = elem.selectedIndex, - one = elem.type === "select-one", - values = one ? null : [], - max = one ? index + 1 : options.length; - - if ( index < 0 ) { - i = max; - - } else { - i = one ? index : 0; - } - - // Loop through all the selected options - for ( ; i < max; i++ ) { - option = options[ i ]; - - // Support: IE <=9 only - // IE8-9 doesn't update selected after form reset (#2551) - if ( ( option.selected || i === index ) && - - // Don't return options that are disabled or in a disabled optgroup - !option.disabled && - ( !option.parentNode.disabled || - !nodeName( option.parentNode, "optgroup" ) ) ) { - - // Get the specific value for the option - value = jQuery( option ).val(); - - // We don't need an array for one selects - if ( one ) { - return value; - } - - // Multi-Selects return an array - values.push( value ); - } - } - - return values; - }, - - set: function( elem, value ) { - var optionSet, option, - options = elem.options, - values = jQuery.makeArray( value ), - i = options.length; - - while ( i-- ) { - option = options[ i ]; - - /* eslint-disable no-cond-assign */ - - if ( option.selected = - jQuery.inArray( jQuery.valHooks.option.get( option ), values ) > -1 - ) { - optionSet = true; - } - - /* eslint-enable no-cond-assign */ - } - - // Force browsers to behave consistently when non-matching value is set - if ( !optionSet ) { - elem.selectedIndex = -1; - } - return values; - } - } - } -} ); - -// Radios and checkboxes getter/setter -jQuery.each( [ "radio", "checkbox" ], function() { - jQuery.valHooks[ this ] = { - set: function( elem, value ) { - if ( Array.isArray( value ) ) { - return ( elem.checked = jQuery.inArray( jQuery( elem ).val(), value ) > -1 ); - } - } - }; - if ( !support.checkOn ) { - jQuery.valHooks[ this ].get = function( elem ) { - return elem.getAttribute( "value" ) === null ? "on" : elem.value; - }; - } -} ); - - - - -// Return jQuery for attributes-only inclusion - - -support.focusin = "onfocusin" in window; - - -var rfocusMorph = /^(?:focusinfocus|focusoutblur)$/, - stopPropagationCallback = function( e ) { - e.stopPropagation(); - }; - -jQuery.extend( jQuery.event, { - - trigger: function( event, data, elem, onlyHandlers ) { - - var i, cur, tmp, bubbleType, ontype, handle, special, lastElement, - eventPath = [ elem || document ], - type = hasOwn.call( event, "type" ) ? event.type : event, - namespaces = hasOwn.call( event, "namespace" ) ? event.namespace.split( "." ) : []; - - cur = lastElement = tmp = elem = elem || document; - - // Don't do events on text and comment nodes - if ( elem.nodeType === 3 || elem.nodeType === 8 ) { - return; - } - - // focus/blur morphs to focusin/out; ensure we're not firing them right now - if ( rfocusMorph.test( type + jQuery.event.triggered ) ) { - return; - } - - if ( type.indexOf( "." ) > -1 ) { - - // Namespaced trigger; create a regexp to match event type in handle() - namespaces = type.split( "." ); - type = namespaces.shift(); - namespaces.sort(); - } - ontype = type.indexOf( ":" ) < 0 && "on" + type; - - // Caller can pass in a jQuery.Event object, Object, or just an event type string - event = event[ jQuery.expando ] ? - event : - new jQuery.Event( type, typeof event === "object" && event ); - - // Trigger bitmask: & 1 for native handlers; & 2 for jQuery (always true) - event.isTrigger = onlyHandlers ? 2 : 3; - event.namespace = namespaces.join( "." ); - event.rnamespace = event.namespace ? - new RegExp( "(^|\\.)" + namespaces.join( "\\.(?:.*\\.|)" ) + "(\\.|$)" ) : - null; - - // Clean up the event in case it is being reused - event.result = undefined; - if ( !event.target ) { - event.target = elem; - } - - // Clone any incoming data and prepend the event, creating the handler arg list - data = data == null ? - [ event ] : - jQuery.makeArray( data, [ event ] ); - - // Allow special events to draw outside the lines - special = jQuery.event.special[ type ] || {}; - if ( !onlyHandlers && special.trigger && special.trigger.apply( elem, data ) === false ) { - return; - } - - // Determine event propagation path in advance, per W3C events spec (#9951) - // Bubble up to document, then to window; watch for a global ownerDocument var (#9724) - if ( !onlyHandlers && !special.noBubble && !isWindow( elem ) ) { - - bubbleType = special.delegateType || type; - if ( !rfocusMorph.test( bubbleType + type ) ) { - cur = cur.parentNode; - } - for ( ; cur; cur = cur.parentNode ) { - eventPath.push( cur ); - tmp = cur; - } - - // Only add window if we got to document (e.g., not plain obj or detached DOM) - if ( tmp === ( elem.ownerDocument || document ) ) { - eventPath.push( tmp.defaultView || tmp.parentWindow || window ); - } - } - - // Fire handlers on the event path - i = 0; - while ( ( cur = eventPath[ i++ ] ) && !event.isPropagationStopped() ) { - lastElement = cur; - event.type = i > 1 ? - bubbleType : - special.bindType || type; - - // jQuery handler - handle = ( dataPriv.get( cur, "events" ) || Object.create( null ) )[ event.type ] && - dataPriv.get( cur, "handle" ); - if ( handle ) { - handle.apply( cur, data ); - } - - // Native handler - handle = ontype && cur[ ontype ]; - if ( handle && handle.apply && acceptData( cur ) ) { - event.result = handle.apply( cur, data ); - if ( event.result === false ) { - event.preventDefault(); - } - } - } - event.type = type; - - // If nobody prevented the default action, do it now - if ( !onlyHandlers && !event.isDefaultPrevented() ) { - - if ( ( !special._default || - special._default.apply( eventPath.pop(), data ) === false ) && - acceptData( elem ) ) { - - // Call a native DOM method on the target with the same name as the event. - // Don't do default actions on window, that's where global variables be (#6170) - if ( ontype && isFunction( elem[ type ] ) && !isWindow( elem ) ) { - - // Don't re-trigger an onFOO event when we call its FOO() method - tmp = elem[ ontype ]; - - if ( tmp ) { - elem[ ontype ] = null; - } - - // Prevent re-triggering of the same event, since we already bubbled it above - jQuery.event.triggered = type; - - if ( event.isPropagationStopped() ) { - lastElement.addEventListener( type, stopPropagationCallback ); - } - - elem[ type ](); - - if ( event.isPropagationStopped() ) { - lastElement.removeEventListener( type, stopPropagationCallback ); - } - - jQuery.event.triggered = undefined; - - if ( tmp ) { - elem[ ontype ] = tmp; - } - } - } - } - - return event.result; - }, - - // Piggyback on a donor event to simulate a different one - // Used only for `focus(in | out)` events - simulate: function( type, elem, event ) { - var e = jQuery.extend( - new jQuery.Event(), - event, - { - type: type, - isSimulated: true - } - ); - - jQuery.event.trigger( e, null, elem ); - } - -} ); - -jQuery.fn.extend( { - - trigger: function( type, data ) { - return this.each( function() { - jQuery.event.trigger( type, data, this ); - } ); - }, - triggerHandler: function( type, data ) { - var elem = this[ 0 ]; - if ( elem ) { - return jQuery.event.trigger( type, data, elem, true ); - } - } -} ); - - -// Support: Firefox <=44 -// Firefox doesn't have focus(in | out) events -// Related ticket - https://bugzilla.mozilla.org/show_bug.cgi?id=687787 -// -// Support: Chrome <=48 - 49, Safari <=9.0 - 9.1 -// focus(in | out) events fire after focus & blur events, -// which is spec violation - http://www.w3.org/TR/DOM-Level-3-Events/#events-focusevent-event-order -// Related ticket - https://bugs.chromium.org/p/chromium/issues/detail?id=449857 -if ( !support.focusin ) { - jQuery.each( { focus: "focusin", blur: "focusout" }, function( orig, fix ) { - - // Attach a single capturing handler on the document while someone wants focusin/focusout - var handler = function( event ) { - jQuery.event.simulate( fix, event.target, jQuery.event.fix( event ) ); - }; - - jQuery.event.special[ fix ] = { - setup: function() { - - // Handle: regular nodes (via `this.ownerDocument`), window - // (via `this.document`) & document (via `this`). - var doc = this.ownerDocument || this.document || this, - attaches = dataPriv.access( doc, fix ); - - if ( !attaches ) { - doc.addEventListener( orig, handler, true ); - } - dataPriv.access( doc, fix, ( attaches || 0 ) + 1 ); - }, - teardown: function() { - var doc = this.ownerDocument || this.document || this, - attaches = dataPriv.access( doc, fix ) - 1; - - if ( !attaches ) { - doc.removeEventListener( orig, handler, true ); - dataPriv.remove( doc, fix ); - - } else { - dataPriv.access( doc, fix, attaches ); - } - } - }; - } ); -} -var location = window.location; - -var nonce = { guid: Date.now() }; - -var rquery = ( /\?/ ); - - - -// Cross-browser xml parsing -jQuery.parseXML = function( data ) { - var xml, parserErrorElem; - if ( !data || typeof data !== "string" ) { - return null; - } - - // Support: IE 9 - 11 only - // IE throws on parseFromString with invalid input. - try { - xml = ( new window.DOMParser() ).parseFromString( data, "text/xml" ); - } catch ( e ) {} - - parserErrorElem = xml && xml.getElementsByTagName( "parsererror" )[ 0 ]; - if ( !xml || parserErrorElem ) { - jQuery.error( "Invalid XML: " + ( - parserErrorElem ? - jQuery.map( parserErrorElem.childNodes, function( el ) { - return el.textContent; - } ).join( "\n" ) : - data - ) ); - } - return xml; -}; - - -var - rbracket = /\[\]$/, - rCRLF = /\r?\n/g, - rsubmitterTypes = /^(?:submit|button|image|reset|file)$/i, - rsubmittable = /^(?:input|select|textarea|keygen)/i; - -function buildParams( prefix, obj, traditional, add ) { - var name; - - if ( Array.isArray( obj ) ) { - - // Serialize array item. - jQuery.each( obj, function( i, v ) { - if ( traditional || rbracket.test( prefix ) ) { - - // Treat each array item as a scalar. - add( prefix, v ); - - } else { - - // Item is non-scalar (array or object), encode its numeric index. - buildParams( - prefix + "[" + ( typeof v === "object" && v != null ? i : "" ) + "]", - v, - traditional, - add - ); - } - } ); - - } else if ( !traditional && toType( obj ) === "object" ) { - - // Serialize object item. - for ( name in obj ) { - buildParams( prefix + "[" + name + "]", obj[ name ], traditional, add ); - } - - } else { - - // Serialize scalar item. - add( prefix, obj ); - } -} - -// Serialize an array of form elements or a set of -// key/values into a query string -jQuery.param = function( a, traditional ) { - var prefix, - s = [], - add = function( key, valueOrFunction ) { - - // If value is a function, invoke it and use its return value - var value = isFunction( valueOrFunction ) ? - valueOrFunction() : - valueOrFunction; - - s[ s.length ] = encodeURIComponent( key ) + "=" + - encodeURIComponent( value == null ? "" : value ); - }; - - if ( a == null ) { - return ""; - } - - // If an array was passed in, assume that it is an array of form elements. - if ( Array.isArray( a ) || ( a.jquery && !jQuery.isPlainObject( a ) ) ) { - - // Serialize the form elements - jQuery.each( a, function() { - add( this.name, this.value ); - } ); - - } else { - - // If traditional, encode the "old" way (the way 1.3.2 or older - // did it), otherwise encode params recursively. - for ( prefix in a ) { - buildParams( prefix, a[ prefix ], traditional, add ); - } - } - - // Return the resulting serialization - return s.join( "&" ); -}; - -jQuery.fn.extend( { - serialize: function() { - return jQuery.param( this.serializeArray() ); - }, - serializeArray: function() { - return this.map( function() { - - // Can add propHook for "elements" to filter or add form elements - var elements = jQuery.prop( this, "elements" ); - return elements ? jQuery.makeArray( elements ) : this; - } ).filter( function() { - var type = this.type; - - // Use .is( ":disabled" ) so that fieldset[disabled] works - return this.name && !jQuery( this ).is( ":disabled" ) && - rsubmittable.test( this.nodeName ) && !rsubmitterTypes.test( type ) && - ( this.checked || !rcheckableType.test( type ) ); - } ).map( function( _i, elem ) { - var val = jQuery( this ).val(); - - if ( val == null ) { - return null; - } - - if ( Array.isArray( val ) ) { - return jQuery.map( val, function( val ) { - return { name: elem.name, value: val.replace( rCRLF, "\r\n" ) }; - } ); - } - - return { name: elem.name, value: val.replace( rCRLF, "\r\n" ) }; - } ).get(); - } -} ); - - -var - r20 = /%20/g, - rhash = /#.*$/, - rantiCache = /([?&])_=[^&]*/, - rheaders = /^(.*?):[ \t]*([^\r\n]*)$/mg, - - // #7653, #8125, #8152: local protocol detection - rlocalProtocol = /^(?:about|app|app-storage|.+-extension|file|res|widget):$/, - rnoContent = /^(?:GET|HEAD)$/, - rprotocol = /^\/\//, - - /* Prefilters - * 1) They are useful to introduce custom dataTypes (see ajax/jsonp.js for an example) - * 2) These are called: - * - BEFORE asking for a transport - * - AFTER param serialization (s.data is a string if s.processData is true) - * 3) key is the dataType - * 4) the catchall symbol "*" can be used - * 5) execution will start with transport dataType and THEN continue down to "*" if needed - */ - prefilters = {}, - - /* Transports bindings - * 1) key is the dataType - * 2) the catchall symbol "*" can be used - * 3) selection will start with transport dataType and THEN go to "*" if needed - */ - transports = {}, - - // Avoid comment-prolog char sequence (#10098); must appease lint and evade compression - allTypes = "*/".concat( "*" ), - - // Anchor tag for parsing the document origin - originAnchor = document.createElement( "a" ); - -originAnchor.href = location.href; - -// Base "constructor" for jQuery.ajaxPrefilter and jQuery.ajaxTransport -function addToPrefiltersOrTransports( structure ) { - - // dataTypeExpression is optional and defaults to "*" - return function( dataTypeExpression, func ) { - - if ( typeof dataTypeExpression !== "string" ) { - func = dataTypeExpression; - dataTypeExpression = "*"; - } - - var dataType, - i = 0, - dataTypes = dataTypeExpression.toLowerCase().match( rnothtmlwhite ) || []; - - if ( isFunction( func ) ) { - - // For each dataType in the dataTypeExpression - while ( ( dataType = dataTypes[ i++ ] ) ) { - - // Prepend if requested - if ( dataType[ 0 ] === "+" ) { - dataType = dataType.slice( 1 ) || "*"; - ( structure[ dataType ] = structure[ dataType ] || [] ).unshift( func ); - - // Otherwise append - } else { - ( structure[ dataType ] = structure[ dataType ] || [] ).push( func ); - } - } - } - }; -} - -// Base inspection function for prefilters and transports -function inspectPrefiltersOrTransports( structure, options, originalOptions, jqXHR ) { - - var inspected = {}, - seekingTransport = ( structure === transports ); - - function inspect( dataType ) { - var selected; - inspected[ dataType ] = true; - jQuery.each( structure[ dataType ] || [], function( _, prefilterOrFactory ) { - var dataTypeOrTransport = prefilterOrFactory( options, originalOptions, jqXHR ); - if ( typeof dataTypeOrTransport === "string" && - !seekingTransport && !inspected[ dataTypeOrTransport ] ) { - - options.dataTypes.unshift( dataTypeOrTransport ); - inspect( dataTypeOrTransport ); - return false; - } else if ( seekingTransport ) { - return !( selected = dataTypeOrTransport ); - } - } ); - return selected; - } - - return inspect( options.dataTypes[ 0 ] ) || !inspected[ "*" ] && inspect( "*" ); -} - -// A special extend for ajax options -// that takes "flat" options (not to be deep extended) -// Fixes #9887 -function ajaxExtend( target, src ) { - var key, deep, - flatOptions = jQuery.ajaxSettings.flatOptions || {}; - - for ( key in src ) { - if ( src[ key ] !== undefined ) { - ( flatOptions[ key ] ? target : ( deep || ( deep = {} ) ) )[ key ] = src[ key ]; - } - } - if ( deep ) { - jQuery.extend( true, target, deep ); - } - - return target; -} - -/* Handles responses to an ajax request: - * - finds the right dataType (mediates between content-type and expected dataType) - * - returns the corresponding response - */ -function ajaxHandleResponses( s, jqXHR, responses ) { - - var ct, type, finalDataType, firstDataType, - contents = s.contents, - dataTypes = s.dataTypes; - - // Remove auto dataType and get content-type in the process - while ( dataTypes[ 0 ] === "*" ) { - dataTypes.shift(); - if ( ct === undefined ) { - ct = s.mimeType || jqXHR.getResponseHeader( "Content-Type" ); - } - } - - // Check if we're dealing with a known content-type - if ( ct ) { - for ( type in contents ) { - if ( contents[ type ] && contents[ type ].test( ct ) ) { - dataTypes.unshift( type ); - break; - } - } - } - - // Check to see if we have a response for the expected dataType - if ( dataTypes[ 0 ] in responses ) { - finalDataType = dataTypes[ 0 ]; - } else { - - // Try convertible dataTypes - for ( type in responses ) { - if ( !dataTypes[ 0 ] || s.converters[ type + " " + dataTypes[ 0 ] ] ) { - finalDataType = type; - break; - } - if ( !firstDataType ) { - firstDataType = type; - } - } - - // Or just use first one - finalDataType = finalDataType || firstDataType; - } - - // If we found a dataType - // We add the dataType to the list if needed - // and return the corresponding response - if ( finalDataType ) { - if ( finalDataType !== dataTypes[ 0 ] ) { - dataTypes.unshift( finalDataType ); - } - return responses[ finalDataType ]; - } -} - -/* Chain conversions given the request and the original response - * Also sets the responseXXX fields on the jqXHR instance - */ -function ajaxConvert( s, response, jqXHR, isSuccess ) { - var conv2, current, conv, tmp, prev, - converters = {}, - - // Work with a copy of dataTypes in case we need to modify it for conversion - dataTypes = s.dataTypes.slice(); - - // Create converters map with lowercased keys - if ( dataTypes[ 1 ] ) { - for ( conv in s.converters ) { - converters[ conv.toLowerCase() ] = s.converters[ conv ]; - } - } - - current = dataTypes.shift(); - - // Convert to each sequential dataType - while ( current ) { - - if ( s.responseFields[ current ] ) { - jqXHR[ s.responseFields[ current ] ] = response; - } - - // Apply the dataFilter if provided - if ( !prev && isSuccess && s.dataFilter ) { - response = s.dataFilter( response, s.dataType ); - } - - prev = current; - current = dataTypes.shift(); - - if ( current ) { - - // There's only work to do if current dataType is non-auto - if ( current === "*" ) { - - current = prev; - - // Convert response if prev dataType is non-auto and differs from current - } else if ( prev !== "*" && prev !== current ) { - - // Seek a direct converter - conv = converters[ prev + " " + current ] || converters[ "* " + current ]; - - // If none found, seek a pair - if ( !conv ) { - for ( conv2 in converters ) { - - // If conv2 outputs current - tmp = conv2.split( " " ); - if ( tmp[ 1 ] === current ) { - - // If prev can be converted to accepted input - conv = converters[ prev + " " + tmp[ 0 ] ] || - converters[ "* " + tmp[ 0 ] ]; - if ( conv ) { - - // Condense equivalence converters - if ( conv === true ) { - conv = converters[ conv2 ]; - - // Otherwise, insert the intermediate dataType - } else if ( converters[ conv2 ] !== true ) { - current = tmp[ 0 ]; - dataTypes.unshift( tmp[ 1 ] ); - } - break; - } - } - } - } - - // Apply converter (if not an equivalence) - if ( conv !== true ) { - - // Unless errors are allowed to bubble, catch and return them - if ( conv && s.throws ) { - response = conv( response ); - } else { - try { - response = conv( response ); - } catch ( e ) { - return { - state: "parsererror", - error: conv ? e : "No conversion from " + prev + " to " + current - }; - } - } - } - } - } - } - - return { state: "success", data: response }; -} - -jQuery.extend( { - - // Counter for holding the number of active queries - active: 0, - - // Last-Modified header cache for next request - lastModified: {}, - etag: {}, - - ajaxSettings: { - url: location.href, - type: "GET", - isLocal: rlocalProtocol.test( location.protocol ), - global: true, - processData: true, - async: true, - contentType: "application/x-www-form-urlencoded; charset=UTF-8", - - /* - timeout: 0, - data: null, - dataType: null, - username: null, - password: null, - cache: null, - throws: false, - traditional: false, - headers: {}, - */ - - accepts: { - "*": allTypes, - text: "text/plain", - html: "text/html", - xml: "application/xml, text/xml", - json: "application/json, text/javascript" - }, - - contents: { - xml: /\bxml\b/, - html: /\bhtml/, - json: /\bjson\b/ - }, - - responseFields: { - xml: "responseXML", - text: "responseText", - json: "responseJSON" - }, - - // Data converters - // Keys separate source (or catchall "*") and destination types with a single space - converters: { - - // Convert anything to text - "* text": String, - - // Text to html (true = no transformation) - "text html": true, - - // Evaluate text as a json expression - "text json": JSON.parse, - - // Parse text as xml - "text xml": jQuery.parseXML - }, - - // For options that shouldn't be deep extended: - // you can add your own custom options here if - // and when you create one that shouldn't be - // deep extended (see ajaxExtend) - flatOptions: { - url: true, - context: true - } - }, - - // Creates a full fledged settings object into target - // with both ajaxSettings and settings fields. - // If target is omitted, writes into ajaxSettings. - ajaxSetup: function( target, settings ) { - return settings ? - - // Building a settings object - ajaxExtend( ajaxExtend( target, jQuery.ajaxSettings ), settings ) : - - // Extending ajaxSettings - ajaxExtend( jQuery.ajaxSettings, target ); - }, - - ajaxPrefilter: addToPrefiltersOrTransports( prefilters ), - ajaxTransport: addToPrefiltersOrTransports( transports ), - - // Main method - ajax: function( url, options ) { - - // If url is an object, simulate pre-1.5 signature - if ( typeof url === "object" ) { - options = url; - url = undefined; - } - - // Force options to be an object - options = options || {}; - - var transport, - - // URL without anti-cache param - cacheURL, - - // Response headers - responseHeadersString, - responseHeaders, - - // timeout handle - timeoutTimer, - - // Url cleanup var - urlAnchor, - - // Request state (becomes false upon send and true upon completion) - completed, - - // To know if global events are to be dispatched - fireGlobals, - - // Loop variable - i, - - // uncached part of the url - uncached, - - // Create the final options object - s = jQuery.ajaxSetup( {}, options ), - - // Callbacks context - callbackContext = s.context || s, - - // Context for global events is callbackContext if it is a DOM node or jQuery collection - globalEventContext = s.context && - ( callbackContext.nodeType || callbackContext.jquery ) ? - jQuery( callbackContext ) : - jQuery.event, - - // Deferreds - deferred = jQuery.Deferred(), - completeDeferred = jQuery.Callbacks( "once memory" ), - - // Status-dependent callbacks - statusCode = s.statusCode || {}, - - // Headers (they are sent all at once) - requestHeaders = {}, - requestHeadersNames = {}, - - // Default abort message - strAbort = "canceled", - - // Fake xhr - jqXHR = { - readyState: 0, - - // Builds headers hashtable if needed - getResponseHeader: function( key ) { - var match; - if ( completed ) { - if ( !responseHeaders ) { - responseHeaders = {}; - while ( ( match = rheaders.exec( responseHeadersString ) ) ) { - responseHeaders[ match[ 1 ].toLowerCase() + " " ] = - ( responseHeaders[ match[ 1 ].toLowerCase() + " " ] || [] ) - .concat( match[ 2 ] ); - } - } - match = responseHeaders[ key.toLowerCase() + " " ]; - } - return match == null ? null : match.join( ", " ); - }, - - // Raw string - getAllResponseHeaders: function() { - return completed ? responseHeadersString : null; - }, - - // Caches the header - setRequestHeader: function( name, value ) { - if ( completed == null ) { - name = requestHeadersNames[ name.toLowerCase() ] = - requestHeadersNames[ name.toLowerCase() ] || name; - requestHeaders[ name ] = value; - } - return this; - }, - - // Overrides response content-type header - overrideMimeType: function( type ) { - if ( completed == null ) { - s.mimeType = type; - } - return this; - }, - - // Status-dependent callbacks - statusCode: function( map ) { - var code; - if ( map ) { - if ( completed ) { - - // Execute the appropriate callbacks - jqXHR.always( map[ jqXHR.status ] ); - } else { - - // Lazy-add the new callbacks in a way that preserves old ones - for ( code in map ) { - statusCode[ code ] = [ statusCode[ code ], map[ code ] ]; - } - } - } - return this; - }, - - // Cancel the request - abort: function( statusText ) { - var finalText = statusText || strAbort; - if ( transport ) { - transport.abort( finalText ); - } - done( 0, finalText ); - return this; - } - }; - - // Attach deferreds - deferred.promise( jqXHR ); - - // Add protocol if not provided (prefilters might expect it) - // Handle falsy url in the settings object (#10093: consistency with old signature) - // We also use the url parameter if available - s.url = ( ( url || s.url || location.href ) + "" ) - .replace( rprotocol, location.protocol + "//" ); - - // Alias method option to type as per ticket #12004 - s.type = options.method || options.type || s.method || s.type; - - // Extract dataTypes list - s.dataTypes = ( s.dataType || "*" ).toLowerCase().match( rnothtmlwhite ) || [ "" ]; - - // A cross-domain request is in order when the origin doesn't match the current origin. - if ( s.crossDomain == null ) { - urlAnchor = document.createElement( "a" ); - - // Support: IE <=8 - 11, Edge 12 - 15 - // IE throws exception on accessing the href property if url is malformed, - // e.g. http://example.com:80x/ - try { - urlAnchor.href = s.url; - - // Support: IE <=8 - 11 only - // Anchor's host property isn't correctly set when s.url is relative - urlAnchor.href = urlAnchor.href; - s.crossDomain = originAnchor.protocol + "//" + originAnchor.host !== - urlAnchor.protocol + "//" + urlAnchor.host; - } catch ( e ) { - - // If there is an error parsing the URL, assume it is crossDomain, - // it can be rejected by the transport if it is invalid - s.crossDomain = true; - } - } - - // Convert data if not already a string - if ( s.data && s.processData && typeof s.data !== "string" ) { - s.data = jQuery.param( s.data, s.traditional ); - } - - // Apply prefilters - inspectPrefiltersOrTransports( prefilters, s, options, jqXHR ); - - // If request was aborted inside a prefilter, stop there - if ( completed ) { - return jqXHR; - } - - // We can fire global events as of now if asked to - // Don't fire events if jQuery.event is undefined in an AMD-usage scenario (#15118) - fireGlobals = jQuery.event && s.global; - - // Watch for a new set of requests - if ( fireGlobals && jQuery.active++ === 0 ) { - jQuery.event.trigger( "ajaxStart" ); - } - - // Uppercase the type - s.type = s.type.toUpperCase(); - - // Determine if request has content - s.hasContent = !rnoContent.test( s.type ); - - // Save the URL in case we're toying with the If-Modified-Since - // and/or If-None-Match header later on - // Remove hash to simplify url manipulation - cacheURL = s.url.replace( rhash, "" ); - - // More options handling for requests with no content - if ( !s.hasContent ) { - - // Remember the hash so we can put it back - uncached = s.url.slice( cacheURL.length ); - - // If data is available and should be processed, append data to url - if ( s.data && ( s.processData || typeof s.data === "string" ) ) { - cacheURL += ( rquery.test( cacheURL ) ? "&" : "?" ) + s.data; - - // #9682: remove data so that it's not used in an eventual retry - delete s.data; - } - - // Add or update anti-cache param if needed - if ( s.cache === false ) { - cacheURL = cacheURL.replace( rantiCache, "$1" ); - uncached = ( rquery.test( cacheURL ) ? "&" : "?" ) + "_=" + ( nonce.guid++ ) + - uncached; - } - - // Put hash and anti-cache on the URL that will be requested (gh-1732) - s.url = cacheURL + uncached; - - // Change '%20' to '+' if this is encoded form body content (gh-2658) - } else if ( s.data && s.processData && - ( s.contentType || "" ).indexOf( "application/x-www-form-urlencoded" ) === 0 ) { - s.data = s.data.replace( r20, "+" ); - } - - // Set the If-Modified-Since and/or If-None-Match header, if in ifModified mode. - if ( s.ifModified ) { - if ( jQuery.lastModified[ cacheURL ] ) { - jqXHR.setRequestHeader( "If-Modified-Since", jQuery.lastModified[ cacheURL ] ); - } - if ( jQuery.etag[ cacheURL ] ) { - jqXHR.setRequestHeader( "If-None-Match", jQuery.etag[ cacheURL ] ); - } - } - - // Set the correct header, if data is being sent - if ( s.data && s.hasContent && s.contentType !== false || options.contentType ) { - jqXHR.setRequestHeader( "Content-Type", s.contentType ); - } - - // Set the Accepts header for the server, depending on the dataType - jqXHR.setRequestHeader( - "Accept", - s.dataTypes[ 0 ] && s.accepts[ s.dataTypes[ 0 ] ] ? - s.accepts[ s.dataTypes[ 0 ] ] + - ( s.dataTypes[ 0 ] !== "*" ? ", " + allTypes + "; q=0.01" : "" ) : - s.accepts[ "*" ] - ); - - // Check for headers option - for ( i in s.headers ) { - jqXHR.setRequestHeader( i, s.headers[ i ] ); - } - - // Allow custom headers/mimetypes and early abort - if ( s.beforeSend && - ( s.beforeSend.call( callbackContext, jqXHR, s ) === false || completed ) ) { - - // Abort if not done already and return - return jqXHR.abort(); - } - - // Aborting is no longer a cancellation - strAbort = "abort"; - - // Install callbacks on deferreds - completeDeferred.add( s.complete ); - jqXHR.done( s.success ); - jqXHR.fail( s.error ); - - // Get transport - transport = inspectPrefiltersOrTransports( transports, s, options, jqXHR ); - - // If no transport, we auto-abort - if ( !transport ) { - done( -1, "No Transport" ); - } else { - jqXHR.readyState = 1; - - // Send global event - if ( fireGlobals ) { - globalEventContext.trigger( "ajaxSend", [ jqXHR, s ] ); - } - - // If request was aborted inside ajaxSend, stop there - if ( completed ) { - return jqXHR; - } - - // Timeout - if ( s.async && s.timeout > 0 ) { - timeoutTimer = window.setTimeout( function() { - jqXHR.abort( "timeout" ); - }, s.timeout ); - } - - try { - completed = false; - transport.send( requestHeaders, done ); - } catch ( e ) { - - // Rethrow post-completion exceptions - if ( completed ) { - throw e; - } - - // Propagate others as results - done( -1, e ); - } - } - - // Callback for when everything is done - function done( status, nativeStatusText, responses, headers ) { - var isSuccess, success, error, response, modified, - statusText = nativeStatusText; - - // Ignore repeat invocations - if ( completed ) { - return; - } - - completed = true; - - // Clear timeout if it exists - if ( timeoutTimer ) { - window.clearTimeout( timeoutTimer ); - } - - // Dereference transport for early garbage collection - // (no matter how long the jqXHR object will be used) - transport = undefined; - - // Cache response headers - responseHeadersString = headers || ""; - - // Set readyState - jqXHR.readyState = status > 0 ? 4 : 0; - - // Determine if successful - isSuccess = status >= 200 && status < 300 || status === 304; - - // Get response data - if ( responses ) { - response = ajaxHandleResponses( s, jqXHR, responses ); - } - - // Use a noop converter for missing script but not if jsonp - if ( !isSuccess && - jQuery.inArray( "script", s.dataTypes ) > -1 && - jQuery.inArray( "json", s.dataTypes ) < 0 ) { - s.converters[ "text script" ] = function() {}; - } - - // Convert no matter what (that way responseXXX fields are always set) - response = ajaxConvert( s, response, jqXHR, isSuccess ); - - // If successful, handle type chaining - if ( isSuccess ) { - - // Set the If-Modified-Since and/or If-None-Match header, if in ifModified mode. - if ( s.ifModified ) { - modified = jqXHR.getResponseHeader( "Last-Modified" ); - if ( modified ) { - jQuery.lastModified[ cacheURL ] = modified; - } - modified = jqXHR.getResponseHeader( "etag" ); - if ( modified ) { - jQuery.etag[ cacheURL ] = modified; - } - } - - // if no content - if ( status === 204 || s.type === "HEAD" ) { - statusText = "nocontent"; - - // if not modified - } else if ( status === 304 ) { - statusText = "notmodified"; - - // If we have data, let's convert it - } else { - statusText = response.state; - success = response.data; - error = response.error; - isSuccess = !error; - } - } else { - - // Extract error from statusText and normalize for non-aborts - error = statusText; - if ( status || !statusText ) { - statusText = "error"; - if ( status < 0 ) { - status = 0; - } - } - } - - // Set data for the fake xhr object - jqXHR.status = status; - jqXHR.statusText = ( nativeStatusText || statusText ) + ""; - - // Success/Error - if ( isSuccess ) { - deferred.resolveWith( callbackContext, [ success, statusText, jqXHR ] ); - } else { - deferred.rejectWith( callbackContext, [ jqXHR, statusText, error ] ); - } - - // Status-dependent callbacks - jqXHR.statusCode( statusCode ); - statusCode = undefined; - - if ( fireGlobals ) { - globalEventContext.trigger( isSuccess ? "ajaxSuccess" : "ajaxError", - [ jqXHR, s, isSuccess ? success : error ] ); - } - - // Complete - completeDeferred.fireWith( callbackContext, [ jqXHR, statusText ] ); - - if ( fireGlobals ) { - globalEventContext.trigger( "ajaxComplete", [ jqXHR, s ] ); - - // Handle the global AJAX counter - if ( !( --jQuery.active ) ) { - jQuery.event.trigger( "ajaxStop" ); - } - } - } - - return jqXHR; - }, - - getJSON: function( url, data, callback ) { - return jQuery.get( url, data, callback, "json" ); - }, - - getScript: function( url, callback ) { - return jQuery.get( url, undefined, callback, "script" ); - } -} ); - -jQuery.each( [ "get", "post" ], function( _i, method ) { - jQuery[ method ] = function( url, data, callback, type ) { - - // Shift arguments if data argument was omitted - if ( isFunction( data ) ) { - type = type || callback; - callback = data; - data = undefined; - } - - // The url can be an options object (which then must have .url) - return jQuery.ajax( jQuery.extend( { - url: url, - type: method, - dataType: type, - data: data, - success: callback - }, jQuery.isPlainObject( url ) && url ) ); - }; -} ); - -jQuery.ajaxPrefilter( function( s ) { - var i; - for ( i in s.headers ) { - if ( i.toLowerCase() === "content-type" ) { - s.contentType = s.headers[ i ] || ""; - } - } -} ); - - -jQuery._evalUrl = function( url, options, doc ) { - return jQuery.ajax( { - url: url, - - // Make this explicit, since user can override this through ajaxSetup (#11264) - type: "GET", - dataType: "script", - cache: true, - async: false, - global: false, - - // Only evaluate the response if it is successful (gh-4126) - // dataFilter is not invoked for failure responses, so using it instead - // of the default converter is kludgy but it works. - converters: { - "text script": function() {} - }, - dataFilter: function( response ) { - jQuery.globalEval( response, options, doc ); - } - } ); -}; - - -jQuery.fn.extend( { - wrapAll: function( html ) { - var wrap; - - if ( this[ 0 ] ) { - if ( isFunction( html ) ) { - html = html.call( this[ 0 ] ); - } - - // The elements to wrap the target around - wrap = jQuery( html, this[ 0 ].ownerDocument ).eq( 0 ).clone( true ); - - if ( this[ 0 ].parentNode ) { - wrap.insertBefore( this[ 0 ] ); - } - - wrap.map( function() { - var elem = this; - - while ( elem.firstElementChild ) { - elem = elem.firstElementChild; - } - - return elem; - } ).append( this ); - } - - return this; - }, - - wrapInner: function( html ) { - if ( isFunction( html ) ) { - return this.each( function( i ) { - jQuery( this ).wrapInner( html.call( this, i ) ); - } ); - } - - return this.each( function() { - var self = jQuery( this ), - contents = self.contents(); - - if ( contents.length ) { - contents.wrapAll( html ); - - } else { - self.append( html ); - } - } ); - }, - - wrap: function( html ) { - var htmlIsFunction = isFunction( html ); - - return this.each( function( i ) { - jQuery( this ).wrapAll( htmlIsFunction ? 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    -
    -
    + +
    +
    + +

    gllvm

    gllvm is an R package for analysing multivariate ecological data with Generalized Linear Latent Variable Models (GLLVM). Estimation is performed using maximum likelihood estimation, together with either variational approximation (VA) or Laplace approximation (LA) method to approximate the marginal likelihood.

    @@ -97,7 +137,10 @@

    References
    +
    + +     -
    -

    Developed by Jenni Niku, Wesley Brooks, Riki Herliansyah, Francis K.C. Hui, Pekka Korhonen, Sara Taskinen, Bert van der Veen, David I. Warton.

    +
    +

    +

    Developed by Jenni Niku, Wesley Brooks, Riki Herliansyah, Francis K.C. Hui, Pekka Korhonen, Sara Taskinen, Bert van der Veen, David I. Warton.

    -
    -

    Site built with pkgdown 2.1.0.

    +
    +

    +

    Site built with pkgdown 2.1.0.

    -
    +

    + diff --git a/docs/katex-auto.js b/docs/katex-auto.js deleted file mode 100644 index 20651d9f..00000000 --- a/docs/katex-auto.js +++ /dev/null @@ -1,14 +0,0 @@ -// https://github.com/jgm/pandoc/blob/29fa97ab96b8e2d62d48326e1b949a71dc41f47a/src/Text/Pandoc/Writers/HTML.hs#L332-L345 -document.addEventListener("DOMContentLoaded", function () { - var mathElements = document.getElementsByClassName("math"); - var macros = []; - for (var i = 0; i < mathElements.length; i++) { - var texText = mathElements[i].firstChild; - if (mathElements[i].tagName == "SPAN") { - katex.render(texText.data, mathElements[i], { - displayMode: mathElements[i].classList.contains("display"), - throwOnError: false, - macros: macros, - fleqn: false - }); - }}}); diff --git a/docs/lightswitch.js b/docs/lightswitch.js deleted file mode 100644 index 9467125a..00000000 --- a/docs/lightswitch.js +++ /dev/null @@ -1,85 +0,0 @@ - -/*! - * Color mode toggler for Bootstrap's docs (https://getbootstrap.com/) - * Copyright 2011-2023 The Bootstrap Authors - * Licensed under the Creative Commons Attribution 3.0 Unported License. - * Updates for {pkgdown} by the {bslib} authors, also licensed under CC-BY-3.0. - */ - -const getStoredTheme = () => localStorage.getItem('theme') -const setStoredTheme = theme => localStorage.setItem('theme', theme) - -const getPreferredTheme = () => { - const storedTheme = getStoredTheme() - if (storedTheme) { - return storedTheme - } - - return window.matchMedia('(prefers-color-scheme: dark)').matches ? 'dark' : 'light' -} - -const setTheme = theme => { - if (theme === 'auto') { - document.documentElement.setAttribute('data-bs-theme', (window.matchMedia('(prefers-color-scheme: dark)').matches ? 'dark' : 'light')) - } else { - document.documentElement.setAttribute('data-bs-theme', theme) - } -} - -function bsSetupThemeToggle () { - 'use strict' - - const showActiveTheme = (theme, focus = false) => { - var activeLabel, activeIcon; - - document.querySelectorAll('[data-bs-theme-value]').forEach(element => { - const buttonTheme = element.getAttribute('data-bs-theme-value') - const isActive = buttonTheme == theme - - element.classList.toggle('active', isActive) - element.setAttribute('aria-pressed', isActive) - - if (isActive) { - activeLabel = element.textContent; - activeIcon = element.querySelector('span').classList.value; - } - }) - - const themeSwitcher = document.querySelector('#dropdown-lightswitch') - if (!themeSwitcher) { - return - } - - themeSwitcher.setAttribute('aria-label', activeLabel) - themeSwitcher.querySelector('span').classList.value = activeIcon; - - if (focus) { - themeSwitcher.focus() - } - } - - window.matchMedia('(prefers-color-scheme: dark)').addEventListener('change', () => { - const storedTheme = getStoredTheme() - if (storedTheme !== 'light' && storedTheme !== 'dark') { - setTheme(getPreferredTheme()) - } - }) - - window.addEventListener('DOMContentLoaded', () => { - showActiveTheme(getPreferredTheme()) - - document - .querySelectorAll('[data-bs-theme-value]') - .forEach(toggle => { - toggle.addEventListener('click', () => { - const theme = toggle.getAttribute('data-bs-theme-value') - setTheme(theme) - setStoredTheme(theme) - showActiveTheme(theme, true) - }) - }) - }) -} - -setTheme(getPreferredTheme()); -bsSetupThemeToggle(); diff --git a/docs/news/index.html b/docs/news/index.html index aed5372d..c528c23d 100644 --- a/docs/news/index.html +++ b/docs/news/index.html @@ -1,50 +1,85 @@ -Changelog • gllvm - Skip to contents +Changelog • gllvm -
    -
    -
    -

    Changelog

    + +
    +
    +
    +

    Changelog

    Source: NEWS.md
    -

    Version 1.4.7

    +

    Version 1.4.7

    -

    Version 1.4.6

    +

    Version 1.4.6

    • Added a ‘getLoadings’ function for retrieving species’ loadings
    • Added ‘fac.center’ argument in ordiplot to plot canonical coefficients of binary variables as points
    • Added a simple plotting function for the gllvm summary
      • @@ -68,7 +103,7 @@

      Bug Fixes -

      Version 1.4.5

      +

      Version 1.4.5

    -

    Version 1.4.3

    CRAN release: 2023-09-18

    +

    Version 1.4.32023-09-18

    • For CRAN release 1.4.3 see updates for versions 1.4.2 and 1.4.3

    Bug Fixes

    @@ -107,7 +142,7 @@

    Bug Fixes -

    Version 1.4.2

    +

    Version 1.4.2

    New Features

    • Added a correction factor to the second partial derivatives of the canonical coefficients for concurrent and constrained ordination
      • @@ -133,7 +168,7 @@

      Bug Fixes -

      Version 1.4.1

      CRAN release: 2023-01-07

      +

      Version 1.4.12023-01-07

      New Features

      • Computational stability of random slopes for constr. and concr. ordination significantly improved
        • @@ -153,7 +188,7 @@

        Bug Fixes -

        Version 1.4.0

        CRAN release: 2022-12-17

        +

        Version 1.4.02022-12-17

        New Features

        • For CRAN release 1.4.0’s new features see features described for versions 1.3.2-1.3.3
          • @@ -164,7 +199,7 @@

          Bug Fixes -

          Version 1.3.3

          +

          Version 1.3.3

          New Features

          • The n.init option has been improved, so that it stops if no improved fit has been found after n.init.max (defaults to 10) iterations.
            • @@ -178,7 +213,7 @@

            Bug Fixes -

            Version 1.3.2

            +

            Version 1.3.2

            New Features

            • Ordination with predictors (num.RR,num.lv.c) is now implemented with constrained optimization routines (alabama,nloptr) as long as the canonical coefficients are treated as fixed-effects. This follows from the necessary identifiability constraints.

              • @@ -201,7 +236,7 @@

              Bug Fixes -

              Version 1.3.1

              CRAN release: 2021-07-28

              +

              Version 1.3.12021-07-28

              New Features

              + diff --git a/docs/pkgdown.js b/docs/pkgdown.js index 9757bf9e..6f0eee40 100644 --- a/docs/pkgdown.js +++ b/docs/pkgdown.js @@ -2,43 +2,83 @@ (function($) { $(function() { - $('nav.navbar').headroom(); + $('.navbar-fixed-top').headroom(); - Toc.init({ - $nav: $("#toc"), - $scope: $("main h2, main h3, main h4, main h5, main h6") + $('body').css('padding-top', $('.navbar').height() + 10); + $(window).resize(function(){ + $('body').css('padding-top', $('.navbar').height() + 10); }); - if ($('#toc').length) { - $('body').scrollspy({ - target: '#toc', - offset: $("nav.navbar").outerHeight() + 1 - }); + $('[data-toggle="tooltip"]').tooltip(); + + var cur_path = paths(location.pathname); + var links = $("#navbar ul li a"); + var max_length = -1; + var pos = -1; + for (var i = 0; i < links.length; i++) { + if (links[i].getAttribute("href") === "#") + continue; + // Ignore external links + if (links[i].host !== location.host) + continue; + + var nav_path = paths(links[i].pathname); + + var length = prefix_length(nav_path, cur_path); + if (length > max_length) { + max_length = length; + pos = i; + } } - // Activate popovers - $('[data-bs-toggle="popover"]').popover({ - container: 'body', - html: true, - trigger: 'focus', - placement: "top", - sanitize: false, - }); + // Add class to parent
            • , and enclosing
            • if in dropdown + if (pos >= 0) { + var menu_anchor = $(links[pos]); + menu_anchor.parent().addClass("active"); + menu_anchor.closest("li.dropdown").addClass("active"); + } + }); - $('[data-bs-toggle="tooltip"]').tooltip(); + function paths(pathname) { + var pieces = pathname.split("/"); + pieces.shift(); // always starts with / + + var end = pieces[pieces.length - 1]; + if (end === "index.html" || end === "") + pieces.pop(); + return(pieces); + } + + // Returns -1 if not found + function prefix_length(needle, haystack) { + if (needle.length > haystack.length) + return(-1); + + // Special case for length-0 haystack, since for loop won't run + if (haystack.length === 0) { + return(needle.length === 0 ? 0 : -1); + } + + for (var i = 0; i < haystack.length; i++) { + if (needle[i] != haystack[i]) + return(i); + } + + return(haystack.length); + } /* Clipboard --------------------------*/ function changeTooltipMessage(element, msg) { - var tooltipOriginalTitle=element.getAttribute('data-bs-original-title'); - element.setAttribute('data-bs-original-title', msg); + var tooltipOriginalTitle=element.getAttribute('data-original-title'); + element.setAttribute('data-original-title', msg); $(element).tooltip('show'); - element.setAttribute('data-bs-original-title', tooltipOriginalTitle); + element.setAttribute('data-original-title', tooltipOriginalTitle); } if(ClipboardJS.isSupported()) { $(document).ready(function() { - var copyButton = ""; + var copyButton = ""; $("div.sourceCode").addClass("hasCopyButton"); @@ -49,106 +89,20 @@ $('.btn-copy-ex').tooltip({container: 'body'}); // Initialize clipboard: - var clipboard = new ClipboardJS('[data-clipboard-copy]', { + var clipboardBtnCopies = new ClipboardJS('[data-clipboard-copy]', { text: function(trigger) { return trigger.parentNode.textContent.replace(/\n#>[^\n]*/g, ""); } }); - clipboard.on('success', function(e) { + clipboardBtnCopies.on('success', function(e) { changeTooltipMessage(e.trigger, 'Copied!'); e.clearSelection(); }); - clipboard.on('error', function(e) { + clipboardBtnCopies.on('error', function() { changeTooltipMessage(e.trigger,'Press Ctrl+C or Command+C to copy'); }); - }); } - - /* Search marking --------------------------*/ - var url = new URL(window.location.href); - var toMark = url.searchParams.get("q"); - var mark = new Mark("main#main"); - if (toMark) { - mark.mark(toMark, { - accuracy: { - value: "complementary", - limiters: [",", ".", ":", "/"], - } - }); - } - - /* Search --------------------------*/ - /* Adapted from https://github.com/rstudio/bookdown/blob/2d692ba4b61f1e466c92e78fd712b0ab08c11d31/inst/resources/bs4_book/bs4_book.js#L25 */ - // Initialise search index on focus - var fuse; - $("#search-input").focus(async function(e) { - if (fuse) { - return; - } - - $(e.target).addClass("loading"); - var response = await fetch($("#search-input").data("search-index")); - var data = await response.json(); - - var options = { - keys: ["what", "text", "code"], - ignoreLocation: true, - threshold: 0.1, - includeMatches: true, - includeScore: true, - }; - fuse = new Fuse(data, options); - - $(e.target).removeClass("loading"); - }); - - // Use algolia autocomplete - var options = { - autoselect: true, - debug: true, - hint: false, - minLength: 2, - }; - var q; -async function searchFuse(query, callback) { - await fuse; - - var items; - if (!fuse) { - items = []; - } else { - q = query; - var results = fuse.search(query, { limit: 20 }); - items = results - .filter((x) => x.score <= 0.75) - .map((x) => x.item); - if (items.length === 0) { - items = [{dir:"Sorry 😿",previous_headings:"",title:"No results found.",what:"No results found.",path:window.location.href}]; - } - } - callback(items); -} - $("#search-input").autocomplete(options, [ - { - name: "content", - source: searchFuse, - templates: { - suggestion: (s) => { - if (s.title == s.what) { - return `${s.dir} >
              ${s.title}
              `; - } else if (s.previous_headings == "") { - return `${s.dir} >
              ${s.title}
              > ${s.what}`; - } else { - return `${s.dir} >
              ${s.title}
              > ${s.previous_headings} > ${s.what}`; - } - }, - }, - }, - ]).on('autocomplete:selected', function(event, s) { - window.location.href = s.path + "?q=" + q + "#" + s.id; - }); - }); })(window.jQuery || window.$) diff --git a/docs/pkgdown.yml b/docs/pkgdown.yml index 0589de70..414debbf 100644 --- a/docs/pkgdown.yml +++ b/docs/pkgdown.yml @@ -10,4 +10,4 @@ articles: vignette6: vignette6.html vignette7: vignette7.html vignette8: vignette8.html -last_built: 2024-09-20T15:30Z +last_built: 2024-09-21T11:43Z diff --git a/docs/reference/AICc.html b/docs/reference/AICc.html index 6310b456..ac17841c 100644 --- a/docs/reference/AICc.html +++ b/docs/reference/AICc.html @@ -1,55 +1,89 @@ -Corrected Akaike information criterion and number of observations — AICc • gllvm - Skip to contents - - -
              -
              -
              - -

              Corrected Akaike information criterion and number of observations

              - Source: R/aicc.gllvm.R -
              AICc.Rd
              +
            • + Changelog +
              • +
            +
          +
        + + + +
        +
        +
        +

        Corrected Akaike information criterion and number of observations

        + Source: R/aicc.gllvm.R +
        -
        +

        Calculates corrected Akaike information criterion for small sample sizes, and extracts number of observations.

        -
        -

        Usage

        + 
        # S3 method for class 'gllvm'
 AICc(object, ...)
 
@@ -57,8 +91,8 @@ 
        Usage
 nobs(object, ...)
        -
        -

        Arguments

        +
        +

        Arguments

        object
        @@ -69,24 +103,28 @@

        Arguments -

        Author

        +
        +

        Author

        Jenni Niku, Bert van der Veen

        -

    +
    + +
    -
    -

    Developed by Jenni Niku, Wesley Brooks, Riki Herliansyah, Francis K.C. Hui, Pekka Korhonen, Sara Taskinen, Bert van der Veen, David I. Warton.

    +
    +

    Developed by Jenni Niku, Wesley Brooks, Riki Herliansyah, Francis K.C. Hui, Pekka Korhonen, Sara Taskinen, Bert van der Veen, David I. Warton.

    -
    -

    Site built with pkgdown 2.1.0.

    +
    +

    Site built with pkgdown 2.1.0.

    -
    +
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Skabbholmen • gllvm - Skip to contents - - -
    -
    -
    -

    Skabbholmen island data

    +
    +
    +
    +

    Skabbholmen island data

    -
    Skabbholmen.Rd
    +
    -
    +

    Dataset of ordinal observations of plants, on the island Skabbholmen in the Stocholm archipelago. Includes 65 unique sites and 70 species, surveyed in two different years.

    -
    -

    Usage

    + 
    data(Skabbholmen)
    -
    -

    Format

    +
    +

    Format

    Y

    A data frame with ordinal of 70 plant species measured at 126 plots.

    @@ -67,21 +101,21 @@

    Format<

    -
    -

    Details

    +
    +

    Details

    Observations of vascular plant cover in 126 one-square-meter plots divided over four transects. The ordinal responses are on a five-degree Hult-Sernander-Du Rietz scale, and were originally recorded by Wolfgang and Cramer (1987) and additionally analyzed by ter Braak (1987). There is a total of 64 unique sites, that were surveyed in two different years (1978 and 1984), but two plots were only surveyed in one year (thus bringing the total number of rows in the data to 126). The plots were located on an elevation gradient, running from the shoreline to the edge of old-growth forest. Elevation to the shoreline was recorded in centimeters during the sampling in 1978.

    This dataset was published with permission from the CANOCO FORTRAN package example datasets.

    -
    -

    References

    +
    +

    References

    ter Braak, C.J.F. and Smilauer, P. (1998). CANOCO reference manual and user's guide to CANOCO for Windows: software for canonical community ordination (version 4). Microcomputer Power, New York, New York, USA.

    Jongman, E., & Jongman, S. R. R. (1995). Data analysis in community and landscape ecology. Cambridge university press.

    ter Braak, C.J.F. (1987). The analysis of vegetation-environment relationships by canonical correspondence analysis. Vegetatio, 69(1), 69-77.

    Cramer, W. & Hytteborn, H. (1987). The separation of fluctuation and long-term change in vegetation dynamics of a rising seashore. Vegetatio, 69, 157–167.

    -
    -

    Examples

    +
    +

    Examples

    # Uncomment the example
 #data(Skabbholmen)
 #Y <- Skabbholmen$Y
@@ -94,19 +128,23 @@ 
    Examples
    -
    +
    + +
    -
    + diff --git a/docs/reference/anova.gllvm.html b/docs/reference/anova.gllvm.html index 1710a452..0e8a1f5c 100644 --- a/docs/reference/anova.gllvm.html +++ b/docs/reference/anova.gllvm.html @@ -1,61 +1,95 @@ -Analysis Of Deviance for gllvm — anova.gllvm • gllvm - Skip to contents - - -
    -
    -
    - -

    Analysis Of Deviance for gllvm

    - Source: R/anova.gllvm.R -
    anova.gllvm.Rd
    +
  • + Changelog +
    • +
    +
    +
    + + + +
    +
    +
    +

    Analysis Of Deviance for gllvm

    + Source: R/anova.gllvm.R +
    -
    +

    Computes an analysis of deviance table for two generalized linear latent variable model fits.

    -
    -

    Usage

    + 
    # S3 method for class 'gllvm'
 anova(object, ...)
    -
    -

    Arguments

    +
    +

    Arguments

    object
    @@ -66,21 +100,21 @@

    Arguments -

    Details

    +
    +

    Details

    Computes likelihood-ratio test for two or more gllvm models. Test results makes sense only for nested models. Notice also that this test is not designed for testing models which have degrees of freedom difference larger than 20. For such models the P-value should be treated as very approximate.

    -
    -

    Author

    +
    +

    Author

    Jenni Niku

    -
    -

    Examples

    +
    +

    Examples

    # \donttest{
 ## Load a dataset from the mvabund package
 data(antTraits, package = "mvabund")
@@ -102,19 +136,23 @@ 
    Examples# }
    -
    +
    + +

    -
    + diff --git a/docs/reference/coefplot.gllvm.html b/docs/reference/coefplot.gllvm.html index f03c11c7..ea31a152 100644 --- a/docs/reference/coefplot.gllvm.html +++ b/docs/reference/coefplot.gllvm.html @@ -1,55 +1,89 @@ -Plot covariate coefficients and confidence intervals — coefplot.gllvm • gllvm - Skip to contents - - -
    -
    -
    - -

    Plot covariate coefficients and confidence intervals

    - Source: R/coefplot.gllvm.R -
    coefplot.gllvm.Rd
    +
  • + Changelog +
    • +
    +
    +
    + + + +
    +
    +
    +

    Plot covariate coefficients and confidence intervals

    + Source: R/coefplot.gllvm.R +
    -
    +

    Plots covariate coefficients and their confidence intervals.

    -
    -

    Usage

    + 
    # S3 method for class 'gllvm'
 coefplot(
   object,
@@ -65,8 +99,8 @@ 
    Usage
 )
    -
    -

    Arguments

    +
    +

    Arguments

    object
    @@ -109,13 +143,13 @@

    Arguments -

    Author

    +
    +

    Author

    Jenni Niku <jenni.m.e.niku@jyu.fi>, Francis K.C. Hui, Sara Taskinen, Bert van der Veen

    -
    -

    Examples

    +
    +

    Examples

    # Extract subset of the microbial data to be used as an example
 data(microbialdata)
 X <- microbialdata$Xenv
@@ -150,19 +184,23 @@ 
    Examples} # }
    -
    +

    + +
    -
    + diff --git a/docs/reference/confint.gllvm.html b/docs/reference/confint.gllvm.html index a357909c..c145ccb4 100644 --- a/docs/reference/confint.gllvm.html +++ b/docs/reference/confint.gllvm.html @@ -1,61 +1,95 @@ -Confidence intervals for model parameters — confint.gllvm • gllvm - Skip to contents - - -
    -
    -
    - -

    Confidence intervals for model parameters

    - Source: R/confint.gllvm.R -
    confint.gllvm.Rd
    +
  • + Changelog +
    • +
    +
    +
    + + + +
    +
    +
    +

    Confidence intervals for model parameters

    + Source: R/confint.gllvm.R +
    -
    +

    Computes confidence intervals for parameters in a fitted gllvm model.

    -
    -

    Usage

    + 
    # S3 method for class 'gllvm'
 confint(object, parm = NULL, level = 0.95, ...)
    -
    -

    Arguments

    +
    +

    Arguments

    object
    @@ -74,13 +108,13 @@

    Arguments -

    Author

    +
    +

    Author

    Jenni Niku <jenni.m.e.niku@jyu.fi>

    -
    -

    Examples

    +
    +

    Examples

    if (FALSE) { # \dontrun{
 ## Load a dataset from the mvabund package
 data(antTraits, package = "mvabund")
@@ -93,19 +127,23 @@ 
    Examples} # }
    -
    +

    + +
    -
    + diff --git a/docs/reference/eSpider.html b/docs/reference/eSpider.html index 8b3f79c9..1f53454d 100644 --- a/docs/reference/eSpider.html +++ b/docs/reference/eSpider.html @@ -1,60 +1,94 @@ -Hunting spider data — eSpider • gllvm - Skip to contents - - -
    -
    -
    -

    Hunting spider data

    +
    +
    +
    +

    Hunting spider data

    -
    eSpider.Rd
    +
    -
    +

    Extended dataset of counts of hunting spiders in a dune area in the Netherlands, measured at 100 pitfall traps.

    -
    -

    Usage

    + 
    data(eSpider)
    -
    -

    Format

    +
    +

    Format

    abund

    A data frame with abundances of 12 hunting spider species measured at 100 sites.

    @@ -67,23 +101,23 @@

    Format<

    -
    -

    Details

    +
    +

    Details

    Counts of hunting spiders in a dune area in the Netherlands, measured with 100 different pitfall traps. This dataset was published with permission from the CANOCO FORTRAN package (version 4 or higher) example datasets.

    Species names have been abbreviated, corresponding to: Alopacce = Alopecosa accentuata, Alopcune = Alopecosa cuneata, Alopfabr = Alopecosa fabrilis, Arctlute = Arctosa lutetiana, Arctperi = Arctosa perita, Auloalbi = Aulonia albimana, Pardlugu = Pardosa lugubris, Pardmont = Pardosa monticola, Pardnigr = Pardosa nigriceps, Pardpull = Pardosa pullata, Trocterr = Trochosa terricola, Zoraspin = Zora spinimana.

    Environmental measurements were taken at 28 of the 100 pitfall traps measuring soil properties(Water content: "conWate", Humus content: "conHumu", Acidity (pH-KCl)), vegetation ("BareSand": percentage bare sand, "FallTwig": cover on the ground by leaves and twigs, "CovMoss": cover by mosses and lichens, "CovHerb": cover by the herb and grass layer (including maximum height, minimum height, "CovCala": cover by Calamagrostis epigejos, cover by Carex arenaria, "CovFest": cover by Festuca ovina, "CovCory": cover by Corynephorus canescens, "CovUrti": cover by Urtica dioica, "CovMoeh": cover by Moehringia trinervia), "CovShru": cover by the shrub layer (minimum and maximum height, and "CovLigu": cover by Ligustrum vulgare), "CovTree": cover by the tree layer (including maximum height, cover by Populus tremula or Crataegus monogyna)), and light properties ("LuxGrey": lux at equal grey sky, "LuxSun": lux at cloudless sky, "LuxRef": lux by reflection of the soil surface)

    The original publication of Canonical Correspondence Analysis used standardized versions of the log and log1p transformed predictors "ConWate", "BareSand", "FallTwig", "CovMoss", "CovHerb", "LuxRef".

    -
    -

    References

    +
    +

    References

    ter Braak, C.J.F. and Smilauer, P. (1998). CANOCO reference manual and user's guide to CANOCO for Windows: software for canonical community ordination (version 4). Microcomputer Power, New York, New York, USA. ter Braak, C.J.F. (1986). Canonical correspondence analysis: a new eigenvector technique for multivariate direct gradient analysis. Ecology, 67(5), 1167-1179. Van der Aart, P. J. M. and Smeenk-Enserink, N. (1975). Correlations between distributions of hunting spiders (Lycosidae, Ctenidae) and environmental characteristics in a dune area. Netherlands Journal of Zoology, 25(1), 1-45.

    -
    -

    Examples

    +
    +

    Examples

    data(eSpider)
 Y <- eSpider$abund[eSpider$nonNA, ]
 X <- eSpider$X[eSpider$nonNA, ]
@@ -94,19 +128,23 @@ 
    Examples    family = "poisson")
    -
    +
    + +
    -
    + diff --git a/docs/reference/ecoCoefs.html b/docs/reference/ecoCoefs.html index ab1368e8..fda02d9a 100644 --- a/docs/reference/ecoCoefs.html +++ b/docs/reference/ecoCoefs.html @@ -1,55 +1,89 @@ -Functions to extract ecological quantities of the latent variables from a GLLVM, if species are a quadratic function of the latent variables. — ecoCoefs • gllvm - Skip to contents - - -
    -
    -
    - -

    Functions to extract ecological quantities of the latent variables from a GLLVM, if species are a quadratic function of the latent variables.

    - Source: R/ecoCoefs.gllvm.R -
    ecoCoefs.Rd
    +
  • + Changelog +
    • +
    +
    +
    + + + +
    +
    +
    +

    Functions to extract ecological quantities of the latent variables from a GLLVM, if species are a quadratic function of the latent variables.

    + Source: R/ecoCoefs.gllvm.R +
    -
    +

    Extracts species optima and tolerances, potentially with standard errors (derived with the Delta method).

    -
    -

    Usage

    + 
    # S3 method for class 'gllvm'
 optima(object, sd.errors = TRUE, ...)
 
@@ -57,8 +91,8 @@ 
    Usage
 tolerances(object, sd.errors = TRUE, ...)
    -
    -

    Arguments

    +
    +

    Arguments

    object
    @@ -73,29 +107,33 @@

    Arguments -

    Details

    +
    +

    Details

    Currently no separate method for calculating species maxima or gradient length are implemented. Gradient length can be inferred from the standard deviation of the latent variables, which is reported by summary.gllvm.

    -
    -

    Author

    +
    +

    Author

    Bert van der Veen

    -
    +

    + +
    -
    -

    Developed by Jenni Niku, Wesley Brooks, Riki Herliansyah, Francis K.C. Hui, Pekka Korhonen, Sara Taskinen, Bert van der Veen, David I. Warton.

    +
    +

    Developed by Jenni Niku, Wesley Brooks, Riki Herliansyah, Francis K.C. Hui, Pekka Korhonen, Sara Taskinen, Bert van der Veen, David I. Warton.

    -
    -

    Site built with pkgdown 2.1.0.

    +
    +

    Site built with pkgdown 2.1.0.

    -
    +
    + diff --git a/docs/reference/fungi.html b/docs/reference/fungi.html index a3a55061..1dfe7634 100644 --- a/docs/reference/fungi.html +++ b/docs/reference/fungi.html @@ -1,60 +1,94 @@ -Wood-decaying fungi data — fungi • gllvm - Skip to contents - - -
    -
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    Wood-decaying fungi data

    +
    +
    +
    +

    Wood-decaying fungi data

    -
    fungi.Rd
    +
    -
    +

    Dataset of 1666 binary observations for 215 fungal species, in different 53 European Beech forests spread across 8 regions.

    -
    -

    Usage

    + 
    data(fungi)
    -
    -

    Format

    +
    +

    Format

    Y

    A data frame with the presence-absences of 215 fungal species measured at 1666 logs.

    @@ -88,18 +122,18 @@

    Format<

    -
    -

    Details

    +
    +

    Details

    Observations of fungi species inhabiting European beech logs, in different European countries. The countries have been grouped in eight different regions. Logs were surveyed in 53 different reserves (or sites). Included environment and trait covariates are limited to those analyzed in the original article, though more are available in the published dataset on datadryad.org.

    -
    -

    References

    +
    +

    References

    Abrego, N., Bässler, C., Christensen, M., and Heilmann‐Clausen, J. (2022). Traits and phylogenies modulate the environmental responses of wood‐inhabiting fungal communities across spatial scales. Journal of Ecology, 110(4), 784-798.

    Abrego, N., Bässler, C., Christensen, M., and Heilmann-Clausen, J. (2022). Data and code from: Traits and phylogenies modulate the environmental responses of wood-inhabiting fungal communities across spatial scales [Dataset]. Dryad. https://doi.org/10.5061/dryad.t76hdr82r

    -
    -

    Examples

    +
    +

    Examples

    if (FALSE) { # \dontrun{
 data(fungi)
 Y <- fungi$Y
@@ -121,19 +155,23 @@ 
    Examples} # }
    -
    +
    + +
    -
    + diff --git a/docs/reference/getEnvironCov.gllvm.html b/docs/reference/getEnvironCov.gllvm.html index 413a26c3..abcbcc7a 100644 --- a/docs/reference/getEnvironCov.gllvm.html +++ b/docs/reference/getEnvironCov.gllvm.html @@ -1,61 +1,95 @@ -Extract species covariances due to environmental random effects from gllvm object — getEnvironCov.gllvm • gllvm - Skip to contents - - -
    -
    -
    - -

    Extract species covariances due to environmental random effects from gllvm object

    - Source: R/getEnvironCov.gllvm.R -
    getEnvironCov.gllvm.Rd
    +
  • + Changelog +
    • +
    +
    +
    + + + +
    +
    +
    +

    Extract species covariances due to environmental random effects from gllvm object

    + Source: R/getEnvironCov.gllvm.R +
    -
    +

    Calculates the species environment covariance matrix for a gllvm object.

    -
    -

    Usage

    + 
    # S3 method for class 'gllvm'
 getEnvironCov(object, x = NULL, ...)
    -
    -

    Arguments

    +
    +

    Arguments

    object
    @@ -70,8 +104,8 @@

    Arguments -

    Value

    +
    +

    Value

    Function returns the following components:

    cov

    species covariances due to covariates

    @@ -86,8 +120,8 @@

    Value

    trace of the covariance matrix due to random column (species) effects

    -
    -

    Details

    +
    +

    Details

    Species covariance matrix due to the environment is calculated.

    Covariances due to the covariates can only be calculated when random effects are included in the model, and are thus limited to reduced rank models (those including constrained and concurrent ordinations) fitted with random slopes, models fitted with random effects via the formula interface, or the fourth corner model fitted with random slopes. For full rank models with random slopes, i.e., with the formula interface or the fourth corner model, the covariances of species are formulated as:

    @@ -102,17 +136,17 @@

    Details$$\Sigma_e = \sum^K_{k=1} \Theta(I_d*\sigma_k^2)\Theta',$$

    with I_d an identity matrix for the number of constrained and informed latent variables, and \(\sigma_k^2\) the variance per predictor for the canonical coefficients.

    -
    -

    See also

    +
    +

    See also

    getEnvironCor ,getResidualCov.gllvm, getResidualCor.gllvm,.

    -
    -

    Author

    +
    +

    Author

    Bert van der Veen

    -
    -

    Examples

    +
    +

    Examples

    if (FALSE) { # \dontrun{
 # Example with the spider dataset
 data(eSpider)
@@ -127,19 +161,23 @@ 
    Examples} # }
    -
    +
    + +
    -
    + diff --git a/docs/reference/getLV.gllvm.html b/docs/reference/getLV.gllvm.html index ff98b06d..506ea909 100644 --- a/docs/reference/getLV.gllvm.html +++ b/docs/reference/getLV.gllvm.html @@ -1,61 +1,95 @@ -Extract latent variables — getLV.gllvm • gllvm - Skip to contents - - -
    -
    -
    - -

    Extract latent variables

    - Source: R/getLV.gllvm.R -
    getLV.gllvm.Rd
    +
  • + Changelog +
    • +
    +
    +
    + + + +
    +
    +
    +

    Extract latent variables

    + Source: R/getLV.gllvm.R +
    -
    +

    Extract latent variables from gllvm object.

    -
    -

    Usage

    + 
    # S3 method for class 'gllvm'
 getLV(object, type = NULL, ...)
    -
    -

    Arguments

    +
    +

    Arguments

    object
    @@ -70,8 +104,8 @@

    Arguments -

    Details

    +
    +

    Details

    Function retrieves the site scores for a GLLVM. Each type corresponds to a separate term of the model. For a GLLVM with unconstrained latent variables the default is "residual". "Residual" scores represent the error term in concurrent ordination, and are not available for constrained ordination.

    For GLLVMs with informed latent variables, "conditional" returns the complete site scores, due to both fixed- and latent effects, @@ -82,19 +116,23 @@

    Details

    -

    +
    + +
    -
    + diff --git a/docs/reference/getLoadings.gllvm.html b/docs/reference/getLoadings.gllvm.html index 82880bd3..f591fc23 100644 --- a/docs/reference/getLoadings.gllvm.html +++ b/docs/reference/getLoadings.gllvm.html @@ -1,61 +1,95 @@ -Extract loadings — getLoadings.gllvm • gllvm - Skip to contents - - -
    -
    -
    - -

    Extract loadings

    - Source: R/getLoadings.gllvm.R -
    getLoadings.gllvm.Rd
    +
  • + Changelog +
    • +
    +
    +
    + + + +
    +
    +
    +

    Extract loadings

    + Source: R/getLoadings.gllvm.R +
    -
    +

    Extract loadings (species scores) from a gllvm object.

    -
    -

    Usage

    + 
    # S3 method for class 'gllvm'
 getLoadings(object, ...)
    -
    -

    Arguments

    +
    +

    Arguments

    object
    @@ -66,24 +100,28 @@

    Arguments -

    Details

    +
    +

    Details

    Function retrieves the loadings a.k.a. species scores for a GLLVM. For the optima of a quadratic response model, see optima.gllvm

    -

    +
    + +
    -
    -

    Developed by Jenni Niku, Wesley Brooks, Riki Herliansyah, Francis K.C. Hui, Pekka Korhonen, Sara Taskinen, Bert van der Veen, David I. Warton.

    +
    +

    Developed by Jenni Niku, Wesley Brooks, Riki Herliansyah, Francis K.C. Hui, Pekka Korhonen, Sara Taskinen, Bert van der Veen, David I. Warton.

    -
    -

    Site built with pkgdown 2.1.0.

    +
    +

    Site built with pkgdown 2.1.0.

    -
    +
    + diff --git a/docs/reference/getPredictErr.gllvm.html b/docs/reference/getPredictErr.gllvm.html index d6bd3a8c..6010914e 100644 --- a/docs/reference/getPredictErr.gllvm.html +++ b/docs/reference/getPredictErr.gllvm.html @@ -1,61 +1,95 @@ -Extract prediction errors for latent variables from gllvm object — getPredictErr.gllvm • gllvm - Skip to contents - - -
    -
    -
    - -

    Extract prediction errors for latent variables from gllvm object

    - Source: R/getPredictErr.gllvm.R -
    getPredictErr.gllvm.Rd
    +
  • + Changelog +
    • +
    +
    +
    + + + +
    +
    +
    +

    Extract prediction errors for latent variables from gllvm object

    + Source: R/getPredictErr.gllvm.R +
    -
    +

    Calculates the prediction errors for latent variables and random effects for gllvm model.

    -
    -

    Usage

    + 
    # S3 method for class 'gllvm'
 getPredictErr(object, CMSEP = TRUE, cov = FALSE, ...)
    -
    -

    Arguments

    +
    +

    Arguments

    object
    @@ -74,8 +108,8 @@

    Arguments -

    Value

    +
    +

    Value

    Function returns following components:

    lvs

    prediction errors for latent variables

    @@ -84,20 +118,20 @@

    Value

    prediction errors for random row effects if included

    -
    -

    Details

    +
    +

    Details

    Calculates conditional mean squared errors for predictions. If variational approximation is used, prediction errors can be based on covariances of the variational distributions, and therefore they do not take into account the uncertainty in the estimation of (fixed) parameters.

    -
    -

    Author

    +
    +

    Author

    Francis K.C. Hui, Jenni Niku, David I. Warton

    -
    -

    Examples

    +
    +

    Examples

    if (FALSE) { # \dontrun{
 # Load a dataset from the mvabund package
 data(antTraits, package = "mvabund")
@@ -110,19 +144,23 @@ 
    Examples
    -
    +
    + +
    -

    + diff --git a/docs/reference/getResidualCor.gllvm.html b/docs/reference/getResidualCor.gllvm.html index 92761370..67f81088 100644 --- a/docs/reference/getResidualCor.gllvm.html +++ b/docs/reference/getResidualCor.gllvm.html @@ -1,61 +1,95 @@ -Extract residual correlations from gllvm object — getResidualCor.gllvm • gllvm - Skip to contents - - -
    -
    -
    - -

    Extract residual correlations from gllvm object

    - Source: R/getResidualCor.gllvm.R -
    getResidualCor.gllvm.Rd
    +
  • + Changelog +
    • +
    +
    +
    + + + +
    +
    +
    +

    Extract residual correlations from gllvm object

    + Source: R/getResidualCor.gllvm.R +
    -
    +

    Calculates the residual correlation matrix for gllvm model.

    -
    -

    Usage

    + 
    # S3 method for class 'gllvm'
 getResidualCor(object, adjust = 1, site.index = NULL, ...)
    -
    -

    Arguments

    +
    +

    Arguments

    object
    @@ -74,17 +108,17 @@

    Arguments -

    Details

    +
    +

    Details

    Residual correlation matrix is calculated based on the residual covariance matrix, see details from getResidualCov.gllvm.

    -
    -

    Author

    +
    +

    Author

    Francis K.C. Hui, Jenni Niku, David I. Warton

    -
    -

    Examples

    +
    +

    Examples

    #'# Extract subset of the microbial data to be used as an example
 data(microbialdata)
 y <- microbialdata$Y[, order(colMeans(microbialdata$Y > 0), 
@@ -118,19 +152,23 @@ 
    Examples
    -
    +
    + +

    -
    + diff --git a/docs/reference/getResidualCov.gllvm.html b/docs/reference/getResidualCov.gllvm.html index 1b3043d6..c57c827f 100644 --- a/docs/reference/getResidualCov.gllvm.html +++ b/docs/reference/getResidualCov.gllvm.html @@ -1,61 +1,95 @@ -Extract residual covariance matrix from gllvm object — getResidualCov.gllvm • gllvm - Skip to contents - - -
    -
    -
    - -

    Extract residual covariance matrix from gllvm object

    - Source: R/getResidualCov.gllvm.R -
    getResidualCov.gllvm.Rd
    +
  • + Changelog +
    • +
    +
    +
    + + + +
    +
    +
    +

    Extract residual covariance matrix from gllvm object

    + Source: R/getResidualCov.gllvm.R +
    -
    +

    Calculates the residual covariance matrix for gllvm model.

    -
    -

    Usage

    + 
    # S3 method for class 'gllvm'
 getResidualCov(object, adjust = 1, site.index = NULL, ...)
    -
    -

    Arguments

    +
    +

    Arguments

    object
    @@ -74,8 +108,8 @@

    Arguments -

    Value

    +
    +

    Value

    Function returns following components:

    cov

    residual covariance matrix

    @@ -90,8 +124,8 @@

    Value

    trace of the squared term of the residual covariance matrix per latent variable, for quadratic responses. Variance explained per latent variable by the quadratic term

    -
    -

    Details

    +
    +

    Details

    Residual covariance matrix, storing information on species co-occurrence that is not explained by the environmental variables (if included), is calculated using the matrix of latent variables loadings, that is, \(\Theta\Theta'\), and the dispersion parameter related to the distribution of choice, is applicable (e.g. in the case of negative-binomial distributed responses).

    When the responses are modelled using the negative binomial distribution, the residual variances for each species must be adjusted for overdispersion. The two possible adjustment terms are \(log(\phi_j + 1)\) (adjust = 1) and \(\psi^{(1)}(1/\phi_j)\) (adjust = 2), where \(\psi^{(1)}\) is the trigamma function.

    The negative binomial model can be written using different parameterizations. @@ -127,13 +161,13 @@

    Details

    -
    -

    Author

    +
    +

    Author

    Francis K.C. Hui, Jenni Niku, David I. Warton, Bert van der Veen

    -
    -

    Examples

    +
    +

    Examples

    if (FALSE) { # \dontrun{
 # Load a dataset from the mvabund package
 data(antTraits, package = "mvabund")
@@ -150,19 +184,23 @@ 
    Examples} # }
    -
    +
    + +
    -

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    -
    -
    - -

    Generalized Linear Latent Variable Models

    - Source: R/gllvm.R -
    gllvm.Rd
    +
  • + Changelog +
    • +
    +
    +
    + + + +
    +
    +
    +

    Generalized Linear Latent Variable Models

    + Source: R/gllvm.R +
    -
    +

    Fits generalized linear latent variable model for multivariate data. The model can be fitted using Laplace approximation method or variational approximation method.

    -
    -

    Usage

    + 
    gllvm(
   y = NULL,
   X = NULL,
@@ -105,8 +138,8 @@ 
    Usage
 )
    -
    -

    Arguments

    +
    +

    Arguments

    y
    @@ -366,8 +399,8 @@

    Arguments -

    Value

    +
    +

    Value

    An object of class "gllvm" includes the following components:

    @@ -556,8 +589,8 @@

    Value

    Optimization method when using 'optim', 'alabama', or 'nloptr'

    -
    -

    Details

    +
    +

    Details

    Fits generalized linear latent variable models as in Hui et al. (2015 and 2017) and Niku et al. (2017). Method can be used with two types of latent variable models depending on covariates. If only site related environmental covariates are used, the expectation of response \(Y_{ij}\) is determined by

    @@ -673,12 +706,12 @@

    Distributions -

    Note

    +
    +

    Note

    If function gives warning: 'In f(x, order = 0) : value out of range in 'lgamma”, optimizer have visited an area where gradients become too big. It is automatically fixed by trying another step in the optimization process, and can be ignored if errors do not occur.

    -
    -

    References

    +
    +

    References

    Brown, A. M., Warton, D. I., Andrew, N. R., Binns, M., Cassis, G., and Gibb, H. (2014). The fourth-corner solution - using predictive models to understand how species traits interact with the environment. Methods in Ecology and Evolution, 5:344-352.

    Dunn, P. K. and Smyth, G. K. (2005). Series evaluation of tweedie exponential dispersion model densities. Statistics and Computing, 15:267-280.

    Hui, F. K. C., Taskinen, S., Pledger, S., Foster, S. D., and Warton, D. I. (2015). Model-based approaches to unconstrained ordination. Methods in Ecology and Evolution, 6:399-411.

    @@ -689,17 +722,17 @@

    References -

    See also

    + -
    -

    Author

    +
    +

    Author

    Jenni Niku <jenni.m.e.niku@jyu.fi>, Wesley Brooks, Riki Herliansyah, Francis K.C. Hui, Pekka Korhonen, Sara Taskinen, Bert van der Veen, David I. Warton

    -
    -

    Examples

    +
    +

    Examples

    # Extract subset of the microbial data to be used as an example
 data(microbialdata)
 X <- microbialdata$Xenv
@@ -1054,19 +1087,23 @@ 
    Examples# }
    -
    +
    + +

    -
    + diff --git a/docs/reference/index.html b/docs/reference/index.html index 94e5eba1..a7dda644 100644 --- a/docs/reference/index.html +++ b/docs/reference/index.html @@ -1,245 +1,220 @@ -Package index • gllvm - Skip to contents - - -
    -
    -
    - -

    Package index

    +Package index • gllvm + + +
    +
    - varPartitioning(<gllvm>) plotVarPartitioning() plotVP() - -
    Calculate variance partitioning
    -

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    - vcov(<gllvm>) +
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    +

    Reference

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    -
    -
    Returns variance-covariance matrix of coefficients in a GLLVM.
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    -
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    All functions

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    AICc(<gllvm>) nobs(<gllvm>)

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    Corrected Akaike information criterion and number of observations

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    anova(<gllvm>)

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    Analysis Of Deviance for gllvm

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    coefplot(<gllvm>)

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    Plot covariate coefficients and confidence intervals

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    confint(<gllvm>)

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    Confidence intervals for model parameters

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    optima(<gllvm>) tolerances(<gllvm>)

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    Functions to extract ecological quantities of the latent variables from a GLLVM, if species are a quadratic function of the latent variables.

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    eSpider

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    Hunting spider data

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    fungi

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    Wood-decaying fungi data

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    getEnvironCov(<gllvm>)

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    Extract species covariances due to environmental random effects from gllvm object

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    getLoadings(<gllvm>)

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    Extract loadings

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    getLV(<gllvm>)

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    Extract latent variables

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    getPredictErr(<gllvm>)

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    Extract prediction errors for latent variables from gllvm object

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    getResidualCor(<gllvm>)

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    Extract residual correlations from gllvm object

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    getResidualCov(<gllvm>)

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    Extract residual covariance matrix from gllvm object

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    gllvm()

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    Generalized Linear Latent Variable Models

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    fungi

    +

    Kelp Forest community Dynamics: Cover of sessile organisms, Uniform Point Contact

    +

    logLik(<gllvm>)

    +

    Log-likelihood of gllvm

    +

    microbialdata

    +

    Microbial community data

    +

    ordiplot(<gllvm>)

    +

    Plot latent variables from gllvm model

    +

    plot(<gllvm>)

    +

    Plot Diagnostics for an gllvm Object

    +

    predict(<gllvm>)

    +

    Predict Method for gllvm Fits

    +

    predictLVs(<gllvm>)

    +

    Predict latent variables for gllvm Fits

    +

    randomCoefplot(<gllvm>)

    +

    Plot random slope coefficients

    +

    residuals(<gllvm>)

    +

    Dunn-Smyth residuals for gllvm model

    +

    se(<gllvm>)

    +

    Standard errors for gllvm model

    +

    simulate(<gllvm>)

    +

    Simulate data from gllvm fit

    +

    Skabbholmen

    +

    Skabbholmen island data

    +

    summary(<gllvm>) print(<summary.gllvm>) plot(<summary.gllvm>)

    +

    Summarizing gllvm model fits

    +

    varPartitioning(<gllvm>) plotVarPartitioning() plotVP()

    +

    Calculate variance partitioning

    +

    vcov(<gllvm>)

    +

    Returns variance-covariance matrix of coefficients in a GLLVM.

    + + +
    -
    -

    Developed by Jenni Niku, Wesley Brooks, Riki Herliansyah, Francis K.C. Hui, Pekka Korhonen, Sara Taskinen, Bert van der Veen, David I. Warton.

    +
    +

    Developed by Jenni Niku, Wesley Brooks, Riki Herliansyah, Francis K.C. Hui, Pekka Korhonen, Sara Taskinen, Bert van der Veen, David I. Warton.

    -
    -

    Site built with pkgdown 2.1.0.

    +
    +

    Site built with pkgdown 2.1.0.

    -
    +
    + diff --git a/docs/reference/kelpforest.html b/docs/reference/kelpforest.html index cd24b164..2d525365 100644 --- a/docs/reference/kelpforest.html +++ b/docs/reference/kelpforest.html @@ -1,60 +1,94 @@ -Kelp Forest community Dynamics: Cover of sessile organisms, Uniform Point Contact — kelpforest • gllvm - Skip to contents - - -
    -
    -
    -

    Kelp Forest community Dynamics: Cover of sessile organisms, Uniform Point Contact

    +
    +
    +
    +

    Kelp Forest community Dynamics: Cover of sessile organisms, Uniform Point Contact

    -
    kelpforest.Rd
    +
    -
    +

    These data describe the cover of sessile invertebrates, understory macroalgae, and bottom substrate types as determined by a uniform point contact method. The presence of over 150 taxa of sessile invertebrates and macroalgae are recorded at 80 uniformly spaced points along permanent 40m x 2m transects. Multiple species can be recorded at any given point. Percent cover of a given species on a transect can be estimated from UPC observations as the fraction of total points at which that species was present x 100. The total percent cover of all species combined using this method can exceed 100%; however, the percent cover of any single species cannot exceed 100%. This specific version of the data includes 61 species of macroalgae, 69 species of sessile invertebrates, and two species of plants.

    -
    -

    Usage

    + 
    data(fungi)
    -
    -

    Format

    +
    +

    Format

    Y

    A data frame with the percent cover records of 132 sessile invertebrates and understory macroalgae measured at 836 permanent transects.

    @@ -80,19 +114,19 @@

    Format<

    -
    -

    Details

    +
    +

    Details

    These data are part of SBC LTERs kelp forest monitoring program, which began in 2000 and was designed to track long-term patterns in species abundance and diversity of reef-associated organisms in the Santa Barbara Channel, California, USA. The sampling locations in this dataset include nine reef sites along the mainland coast of the Santa Barbara Channel and at two sites on the north side of Santa Cruz Island. These sites reflect several oceanographic regimes in the channel and vary in distance from sources of terrestrial runoff. Data collection began in 2000 and this dataset is updated annually.

    The time period of data collection varied among the 11 kelp forest sites. Sampling at BULL, CARP, and NAPL began in 2000, sampling at the other 6 mainland sites (AHND, AQUE, IVEE, GOLB, ABUR, MOHK) began in 2001 (transects 3, 5, 6, 7, 8 at IVEE were added in 2011). Data collection at the two Santa Cruz Island sites (SCTW and SCDI) began in 2004.

    Detailed description of the data available in the reference and the website https://sbclter.msi.ucsb.edu/data/catalog/package/?package=knb-lter-sbc.15

    -
    -

    References

    +
    +

    References

    Reed, D, R. Miller. 2023. SBC LTER: Reef: Kelp Forest Community Dynamics: Cover of sessile organisms, Uniform Point Contact ver 33. Environmental Data Initiative. https://doi.org/10.6073/pasta/0af1a5b0d9dde5b4e5915c0012ccf99c. (Accessed: 2023-12-01).

    -
    -

    Examples

    +
    +

    Examples

    if (FALSE) { # \dontrun{
 data(kelpforest)
 Y <- kelpforest$Y
@@ -101,19 +135,23 @@ 
    Examples} # }
    -
    +
    + +
    -
    + diff --git a/docs/reference/logLik.gllvm.html b/docs/reference/logLik.gllvm.html index 540305c1..69cd1680 100644 --- a/docs/reference/logLik.gllvm.html +++ b/docs/reference/logLik.gllvm.html @@ -1,61 +1,95 @@ -Log-likelihood of gllvm — logLik.gllvm • gllvm - Skip to contents - - -
    -
    -
    - -

    Log-likelihood of gllvm

    - Source: R/logLik.gllvm.R -
    logLik.gllvm.Rd
    +
  • + Changelog +
    • +
    +
    +
    + + + +
    +
    +
    +

    Log-likelihood of gllvm

    + Source: R/logLik.gllvm.R +
    -
    +

    Extracts Log-likelihood from 'gllvm' objects.

    -
    -

    Usage

    + 
    # S3 method for class 'gllvm'
 logLik(object, ...)
    -
    -

    Arguments

    +
    +

    Arguments

    object
    @@ -66,13 +100,13 @@

    Arguments -

    Author

    +
    +

    Author

    David I. Warton, Jenni Niku

    -
    -

    Examples

    +
    +

    Examples

    if (FALSE) { # \dontrun{
 ## Load a dataset from the mvabund package
 data(antTraits, package = "mvabund")
@@ -84,19 +118,23 @@ 
    Examples} # }
    -
    +

    + +
    -
    + diff --git a/docs/reference/microbialdata.rd b/docs/reference/microbialdata.rd index b01a2553..eafd1479 100644 --- a/docs/reference/microbialdata.rd +++ b/docs/reference/microbialdata.rd @@ -1,60 +1,94 @@ -Microbial community data — microbialdata • gllvm - Skip to contents - - -
    -
    -
    -

    Microbial community data

    +
    +
    +
    +

    Microbial community data

    -
    microbialdata.rd
    +
    -
    +

    Microbial community data consist of abundances of 985 bacteria species measured at 56 soil sample sites from three regions, Kilpisjarvi (Finland), Ny-Alesund (Norway), and Mayrhofen (Austria). In addition to bacteria counts, three continuous environmental variables (pH, available phosphorous and soil organic matter) were measured from each soil sample.

    -
    -

    Usage

    + 
    data(microbialdata)
    -
    -

    Format

    +
    +

    Format

    Y

    A data frame with abundances of 985 bacteria species measured at 56 soil sample sites

    @@ -63,25 +97,29 @@
    -
    -

    References

    +
    +

    References

    Kumar, M., Brader, G., Sessitsch, A., Mäki, A., van Elsas, J.D., and Nissinen, R. (2017). Plants Assemble Species Specific Bacterial Communities from Common Core Taxa in Three Arcto-Alpine Climate Zones. Frontiers in Microbiology, 8:12.

    Niku, J., Warton, D. I., Hui, F. K. C., and Taskinen, S. (2017). Generalized linear latent variable models for multivariate count and biomass data in ecology. Journal of Agricultural, Biological, and Environmental Statistics, 22:498-522.

    -
    +
    + +
    -
    -

    Developed by Jenni Niku, Wesley Brooks, Riki Herliansyah, Francis K.C. Hui, Pekka Korhonen, Sara Taskinen, Bert van der Veen, David I. Warton.

    +
    +

    Developed by Jenni Niku, Wesley Brooks, Riki Herliansyah, Francis K.C. Hui, Pekka Korhonen, Sara Taskinen, Bert van der Veen, David I. Warton.

    -
    -

    Site built with pkgdown 2.1.0.

    +
    +

    Site built with pkgdown 2.1.0.

    -
    +
    + diff --git a/docs/reference/ordiplot.gllvm.html b/docs/reference/ordiplot.gllvm.html index 685f34bf..749a92c1 100644 --- a/docs/reference/ordiplot.gllvm.html +++ b/docs/reference/ordiplot.gllvm.html @@ -1,55 +1,89 @@ -Plot latent variables from gllvm model — ordiplot.gllvm • gllvm - Skip to contents - - -
    -
    -
    - -

    Plot latent variables from gllvm model

    - Source: R/ordiplot.gllvm.R -
    ordiplot.gllvm.Rd
    +
  • + Changelog +
    • +
    +
    +
    + + + +
    +
    +
    +

    Plot latent variables from gllvm model

    + Source: R/ordiplot.gllvm.R +
    -
    +

    Plots latent variables and their corresponding coefficients (biplot).

    -
    -

    Usage

    + 
    # S3 method for class 'gllvm'
 ordiplot(
   object,
@@ -85,8 +119,8 @@ 
    Usage
 )
    -
    -

    Arguments

    +
    +

    Arguments

    object
    @@ -209,8 +243,8 @@

    Arguments -

    Details

    +
    +

    Details

    Function constructs a scatter plot of two latent variables, i.e. an ordination plot. Latent variables are re-rotated to their principal direction using singular value decomposition, so that the first plotted latent variable does not have to be the first latent variable in the model. @@ -238,25 +272,25 @@

    DetailsgetLV.gllvm for details.

    -
    -

    Note

    +
    +

    Note

    - If error is occurred when using ordiplot(), try full name of the function ordiplot.gllvm() as functions named 'ordiplot' might be found in other packages as well.

    -
    -

    References

    +
    +

    References

    Gabriel, K. R. (1971). The biplot graphic display of matrices with application to principal component analysis. Biometrika, 58, 453-467.

    -
    -

    See also

    +
    +

    See also

    getLV.gllvm.

    -
    -

    Author

    +
    +

    Author

    Jenni Niku <jenni.m.e.niku@jyu.fi>, Francis K.C. Hui, Bert van der Veen

    -
    -

    Examples

    +
    +

    Examples

    #'# Extract subset of the microbial data to be used as an example
 data(microbialdata)
 y <- microbialdata$Y[, order(colMeans(microbialdata$Y > 0), 
@@ -278,19 +312,23 @@ 
    Examples} # }
    -
    +
    + +
    -
    + diff --git a/docs/reference/plot.gllvm.html b/docs/reference/plot.gllvm.html index 5c5a176e..aafec6a4 100644 --- a/docs/reference/plot.gllvm.html +++ b/docs/reference/plot.gllvm.html @@ -1,58 +1,91 @@ -Plot Diagnostics for an gllvm Object — plot.gllvm • gllvm - Skip to contents - - -
    -
    -
    - -

    Plot Diagnostics for an gllvm Object

    - Source: R/plot.gllvm.R -
    plot.gllvm.Rd
    +
  • + Changelog +
    • +
    +
    +
    + + + +
    +
    +
    +

    Plot Diagnostics for an gllvm Object

    + Source: R/plot.gllvm.R +
    -
    +

    Five plots (selectable by which) are currently available: a plot of residuals against linear predictors of fitted values, a Normal Q-Q plot of residuals with a simulated point-wise 95% confidence interval envelope, residuals against row index and column index and scale location plot.

    -
    -

    Usage

    + 
    # S3 method for class 'gllvm'
 plot(
   x,
@@ -69,8 +102,8 @@ 
    Usage
 )
    -
    -

    Arguments

    +
    +

    Arguments

    x
    @@ -113,41 +146,56 @@

    Arguments -

    Details

    +
    +

    Details

    plot.gllvm is used for model diagnostics. Dunn-Smyth residuals (randomized quantile residuals) (Dunn and Smyth, 1996) are used in plots. Colors indicate different species.

    -
    -

    References

    +
    +

    References

    Dunn, P. K., and Smyth, G. K. (1996). Randomized quantile residuals. Journal of Computational and Graphical Statistics, 5, 236-244.

    Hui, F. K. C., Taskinen, S., Pledger, S., Foster, S. D., and Warton, D. I. (2015). Model-based approaches to unconstrained ordination. Methods in Ecology and Evolution, 6:399-411.

    -
    -

    See also

    +
    +

    See also

    gllvm, residuals.gllvm

    -
    -

    Author

    +
    +

    Author

    Jenni Niku <jenni.m.e.niku@jyu.fi>

    -
    -

    Examples

    - +
    +

    Examples

    + 
    if (FALSE) { # \dontrun{
+# Fit gllvm model with Poisson family
+data(microbialdata)
+X <- microbialdata$Xenv
+y <- microbialdata$Y[, order(colMeans(microbialdata$Y > 0), 
+                     decreasing = TRUE)[21:40]]
+fit <- gllvm(y, X, formula = ~ pH + Phosp, family = poisson())
+# Plot residuals
+plot(fit, mfrow = c(3,2))
+
+} # }
+
    -
    +
    + +
    -
    -

    Developed by Jenni Niku, Wesley Brooks, Riki Herliansyah, Francis K.C. Hui, Pekka Korhonen, Sara Taskinen, Bert van der Veen, David I. Warton.

    +
    +

    Developed by Jenni Niku, Wesley Brooks, Riki Herliansyah, Francis K.C. Hui, Pekka Korhonen, Sara Taskinen, Bert van der Veen, David I. Warton.

    -
    -

    Site built with pkgdown 2.1.0.

    +
    +

    Site built with pkgdown 2.1.0.

    -
    +
    + diff --git a/docs/reference/predict.gllvm.html b/docs/reference/predict.gllvm.html index 256a3e5c..661915bc 100644 --- a/docs/reference/predict.gllvm.html +++ b/docs/reference/predict.gllvm.html @@ -1,55 +1,89 @@ -Predict Method for gllvm Fits — predict.gllvm • gllvm - Skip to contents - - -
    -
    -
    - -

    Predict Method for gllvm Fits

    - Source: R/predict.gllvm.R -
    predict.gllvm.Rd
    +
  • + Changelog +
    • +
    +
    +
    + + + +
    +
    +
    +

    Predict Method for gllvm Fits

    + Source: R/predict.gllvm.R +
    -
    +

    Obtains predictions from a fitted generalized linear latent variable model object.

    -
    -

    Usage

    + 
    # S3 method for class 'gllvm'
 predict(
   object,
@@ -63,8 +97,8 @@ 
    Usage
 )
    -
    -

    Arguments

    +
    +

    Arguments

    object
    @@ -99,22 +133,22 @@

    Arguments -

    Value

    +
    +

    Value

    A matrix containing requested predictor types.

    -
    -

    Details

    +
    +

    Details

    If newX, newTR and newLV are omitted the predictions are based on the data used for fitting the model. Notice that newTR need to match with the number of species in the original data. Instead, new sites can be specified in newX. If predictors newX (and newTR) are given, and newLV is not, latent variables are not used in the predictions.

    -
    -

    Author

    +
    +

    Author

    Jenni Niku <jenni.m.e.niku@jyu.fi>, David Warton

    -
    -

    Examples

    +
    +

    Examples

    # \donttest{
 # Load a dataset from the mvabund package
 data(antTraits, package = "mvabund")
@@ -149,19 +183,23 @@ 
    Examples# }
    -
    +
    + +
    -

    + diff --git a/docs/reference/predictLVs.gllvm.html b/docs/reference/predictLVs.gllvm.html index c05c2dc0..fa8a0017 100644 --- a/docs/reference/predictLVs.gllvm.html +++ b/docs/reference/predictLVs.gllvm.html @@ -1,61 +1,95 @@ -Predict latent variables for gllvm Fits — predictLVs.gllvm • gllvm - Skip to contents - - -
    -
    -
    - -

    Predict latent variables for gllvm Fits

    - Source: R/predictLVs.gllvm.R -
    predictLVs.gllvm.Rd
    +
  • + Changelog +
    • +
    +
    +
    + + + +
    +
    +
    +

    Predict latent variables for gllvm Fits

    + Source: R/predictLVs.gllvm.R +
    -
    +

    Obtains predictions for latent variables from a fitted generalized linear latent variable model object. Currently works only for the variational approximation method.

    -
    -

    Usage

    + 
    # S3 method for class 'gllvm'
 predictLVs(object, newX = NULL, newY = object$y, ...)
    -
    -

    Arguments

    +
    +

    Arguments

    object
    @@ -74,21 +108,21 @@

    Arguments -

    Value

    +
    +

    Value

    A matrix containing requested predictor types.

    -
    -

    Details

    +
    +

    Details

    Obtains predictions for latent variables from a fitted generalized linear latent variable model object.

    -
    -

    Author

    +
    +

    Author

    David Warton, Jenni Niku <jenni.m.e.niku@jyu.fi>

    -
    -

    Examples

    +
    +

    Examples

     # \donttest{
 # Load a dataset from the mvabund package
 data(antTraits, package = "mvabund")
@@ -102,19 +136,23 @@ 
    Examples# }
    -
    +
    + +
    -

    + diff --git a/docs/reference/randomCoefplot.gllvm.html b/docs/reference/randomCoefplot.gllvm.html index a531c346..9b2b72e7 100644 --- a/docs/reference/randomCoefplot.gllvm.html +++ b/docs/reference/randomCoefplot.gllvm.html @@ -1,55 +1,89 @@ -Plot random slope coefficients — randomCoefplot.gllvm • gllvm - Skip to contents - - -
    -
    -
    - -

    Plot random slope coefficients

    - Source: R/randomCoefplot.R -
    randomCoefplot.gllvm.Rd
    +
  • + Changelog +
    • +
    +
    +
    + + + +
    +
    +
    +

    Plot random slope coefficients

    + Source: R/randomCoefplot.R +
    -
    +

    Plots random slopes and their prediction intervals.

    -
    -

    Usage

    + 
    # S3 method for class 'gllvm'
 randomCoefplot(
   object,
@@ -64,8 +98,8 @@ 
    Usage
 )
    -
    -

    Arguments

    +
    +

    Arguments

    object
    @@ -104,13 +138,13 @@

    Arguments -

    Author

    +
    +

    Author

    Jenni Niku <jenni.m.e.niku@jyu.fi>, Francis K.C. Hui, Bert van der Veen, Sara Taskinen,

    -
    -

    Examples

    +
    +

    Examples

    if (FALSE) { # \dontrun{
 ## Load a dataset from the mvabund package
 data(antTraits, package = "mvabund")
@@ -126,19 +160,23 @@ 
    Examples
    -
    +

    + +
    -
    + diff --git a/docs/reference/residuals.gllvm.html b/docs/reference/residuals.gllvm.html index 7b0855f9..9fd79256 100644 --- a/docs/reference/residuals.gllvm.html +++ b/docs/reference/residuals.gllvm.html @@ -1,61 +1,95 @@ -Dunn-Smyth residuals for gllvm model — residuals.gllvm • gllvm - Skip to contents - - -
    -
    -
    - -

    Dunn-Smyth residuals for gllvm model

    - Source: R/residuals.gllvm.R -
    residuals.gllvm.Rd
    +
  • + Changelog +
    • +
    +
    +
    + + + +
    +
    +
    +

    Dunn-Smyth residuals for gllvm model

    + Source: R/residuals.gllvm.R +
    -
    +

    Calculates Dunn-Smyth residuals for gllvm model.

    -
    -

    Usage

    + 
    # S3 method for class 'gllvm'
 residuals(object, ...)
    -
    -

    Arguments

    +
    +

    Arguments

    object
    @@ -66,8 +100,8 @@

    Arguments -

    Value

    +
    +

    Value

    residuals
    @@ -77,8 +111,8 @@

    Value

    matrix of linear predictors

    -
    -

    Details

    +
    +

    Details

    Computes Dunn-Smyth residuals (randomized quantile residuals, Dunn and Smyth, 1996) for gllvm model. For the observation \(Y_{ij}\) Dunn-Smyth residuals are defined as

    $$r_{ij}=\Phi^{-1}(u_{ij}F_{ij}(y_{ij}) + (1-u_{ij})F_{ij}^-(y_{ij})),$$

    @@ -86,18 +120,18 @@

    Details

    -
    -

    References

    +
    +

    References

    Dunn, P. K., and Smyth, G. K. (1996). Randomized quantile residuals. Journal of Computational and Graphical Statistics, 5, 236-244.

    Hui, F. K. C., Taskinen, S., Pledger, S., Foster, S. D., and Warton, D. I. (2015). Model-based approaches to unconstrained ordination. Methods in Ecology and Evolution, 6:399-411.

    -
    -

    Author

    +
    +

    Author

    Jenni Niku <jenni.m.e.niku@jyu.fi>

    -
    -

    Examples

    +
    +

    Examples

    if (FALSE) { # \dontrun{
 # Load a dataset from the mvabund package
 data(antTraits, package = "mvabund")
@@ -109,19 +143,23 @@ 
    Examples} # }
    -
    +
    + +
    -
    + diff --git a/docs/reference/se.gllvm.html b/docs/reference/se.gllvm.html index 7845e560..d1e0e013 100644 --- a/docs/reference/se.gllvm.html +++ b/docs/reference/se.gllvm.html @@ -1,61 +1,95 @@ -Standard errors for gllvm model — se.gllvm • gllvm - Skip to contents - - -
    -
    -
    - -

    Standard errors for gllvm model

    - Source: R/se.gllvm.R -
    se.gllvm.Rd
    +
  • + Changelog +
    • +
    +
    +
    + + + +
    +
    +
    +

    Standard errors for gllvm model

    + Source: R/se.gllvm.R +
    -
    +

    Calculates Hessian and standard errors for gllvm model.

    -
    -

    Usage

    + 
    # S3 method for class 'gllvm'
 se(object, ...)
    -
    -

    Arguments

    +
    +

    Arguments

    object
    @@ -66,8 +100,8 @@

    Arguments -

    Value

    +
    +

    Value

    sd
    @@ -77,22 +111,22 @@

    Value

    list including Hessian matrix and approximative covariance matrix of parameters

    -
    -

    Details

    +
    +

    Details

    Computes Hessian and standard errors for gllvm model.

    -
    -

    References

    +
    +

    References

    Dunn, P. K., and Smyth, G. K. (1996). Randomized quantile residuals. Journal of Computational and Graphical Statistics, 5, 236-244.

    Hui, F. K. C., Taskinen, S., Pledger, S., Foster, S. D., and Warton, D. I. (2015). Model-based approaches to unconstrained ordination. Methods in Ecology and Evolution, 6:399-411.

    -
    -

    Author

    +
    +

    Author

    Jenni Niku <jenni.m.e.niku@jyu.fi>

    -
    -

    Examples

    +
    +

    Examples

    data(eSpider)
 mod <- gllvm(eSpider$abund, num.lv = 2, family = "poisson", sd.errors = FALSE)
 # Calculate standard errors after fitting
@@ -103,19 +137,23 @@ 
    Examplesmod$Hess <- sdErr$Hess
    -
    +
    + +
    -
    + diff --git a/docs/reference/simulate.gllvm.html b/docs/reference/simulate.gllvm.html index 8a7be10b..e48ce7d2 100644 --- a/docs/reference/simulate.gllvm.html +++ b/docs/reference/simulate.gllvm.html @@ -1,61 +1,95 @@ -Simulate data from gllvm fit — simulate.gllvm • gllvm - Skip to contents - - -
    -
    -
    - -

    Simulate data from gllvm fit

    - Source: R/simulate.gllvm.R -
    simulate.gllvm.Rd
    +
  • + Changelog +
    • +
    +
    +
    + + + +
    +
    +
    +

    Simulate data from gllvm fit

    + Source: R/simulate.gllvm.R +
    -
    +

    Generate new data using the fitted values of the parameters

    -
    -

    Usage

    + 
    # S3 method for class 'gllvm'
 simulate(object, nsim = 1, seed = NULL, conditional = FALSE, ...)
    -
    -

    Arguments

    +
    +

    Arguments

    object
    @@ -78,21 +112,21 @@

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    simulate function for gllvm objects.

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    David Warton, Jenni Niku <jenni.m.e.niku@jyu.fi>

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    + diff --git a/docs/reference/summary.gllvm.html b/docs/reference/summary.gllvm.html index 2b259ea2..75486995 100644 --- a/docs/reference/summary.gllvm.html +++ b/docs/reference/summary.gllvm.html @@ -1,55 +1,89 @@ -Summarizing gllvm model fits — summary.gllvm • gllvm - Skip to contents - - -
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    Summarizing gllvm model fits

    - Source: R/summary.gllvm.R -
    summary.gllvm.Rd
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    Summarizing gllvm model fits

    + Source: R/summary.gllvm.R +
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    A summary of the fitted 'gllvm' object, including function call, distribution family and model parameters.

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    # S3 method for class 'gllvm'
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    Various options are available to include extra parameter estimates in the summary, which have been excluded by default, for readability.

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    Jenni Niku <jenni.m.e.niku@jyu.fi>, Bert van der Veen

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    if (FALSE) { # \dontrun{
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    + diff --git a/docs/reference/varPartitioning.gllvm.html b/docs/reference/varPartitioning.gllvm.html index bbb2e90d..2b4e69bc 100644 --- a/docs/reference/varPartitioning.gllvm.html +++ b/docs/reference/varPartitioning.gllvm.html @@ -1,58 +1,91 @@ -Calculate variance partitioning — varPartitioning.gllvm • gllvm - Skip to contents - - -
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    Calculate variance partitioning

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    Calculate variance partitioning

    + Source: R/VP.gllvm.R, R/plotVP.gllvm.R +
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    Calculates variance partitioning for gllvm object with function varPartitioning().

    Function plotVarPartitioning() (alias plotVP()) plots the results of variance partitioning of a fitted gllvm.

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    Variance for the linear predictor for response j can be calculated as

    $$Var(\eta_j) = \sum_k \beta_{jk}^2*var(z_{.k}) + 2 \sum_{(k1=1,...,K-1)} \sum_{(k2=k1+1,...,K)} \beta_{j(k1)}\beta_{j(k2)} Cov(Z_{.k1},Z_{.k2}) , $$

    where \(z_{.k}\) is a vector consisting of predictor/latent variable/row effect etc values for all sampling units i. If \(z_{.k}\)s are not correlated, covariance term is 0 and thus the variance explained of a response j for predictor \(z_{.k}\) is given as \(\beta_{jk}^2*var(z_{.k})/Var(\eta_j)\).

    In case of correlated predictors, it is advised to group them into a same group. The variance explained is calculated for the correlated group of predictors together and adjusted with the covariance term.

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    Jenni Niku <jenni.m.e.niku@jyu.fi>

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    # Extract subset of the microbial data to be used as an example
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    + diff --git a/docs/reference/vcov.gllvm.html b/docs/reference/vcov.gllvm.html index 7a310ce1..4b0eec6d 100644 --- a/docs/reference/vcov.gllvm.html +++ b/docs/reference/vcov.gllvm.html @@ -1,61 +1,95 @@ -Returns variance-covariance matrix of coefficients in a GLLVM. — vcov.gllvm • gllvm - Skip to contents - - -
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    Returns variance-covariance matrix of coefficients in a GLLVM.

    - Source: R/vcov.gllvm.R -
    vcov.gllvm.Rd
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    Returns variance-covariance matrix of coefficients in a GLLVM.

    + Source: R/vcov.gllvm.R +
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    Returns the variance-covariance matrix of the parameters from a GLLVM. If the variance-covariance matrix was not calculated after model fitting, this function will have to calculate the variance-covariance matrix, which may be computational intensive for a large number of species and/or sites.

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    Calculates the variance-covariance matrix of a GLLVM object using se.gllvm, which may be computational intensive with many parameters.The parameters might have unintuitive names. Fixed-effects coefficients are labeled "b", and are ordered per species as: 1) intercepts 2) fixed-effects slopes. Coefficients of the latent variables are labled "lambda" (linear coefficients) or "lambda2".

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    Bert van der Veen

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    Developed by Jenni Niku, Wesley Brooks, Riki Herliansyah, Francis K.C. Hui, Pekka Korhonen, Sara Taskinen, Bert van der Veen, David I. Warton.

    +
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    Developed by Jenni Niku, Wesley Brooks, Riki Herliansyah, Francis K.C. Hui, Pekka Korhonen, Sara Taskinen, Bert van der Veen, David I. Warton.

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    Site built with pkgdown 2.1.0.

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    Site built with pkgdown 2.1.0.

    -
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    + diff --git a/docs/search.json b/docs/search.json deleted file mode 100644 index 65df30fc..00000000 --- a/docs/search.json +++ /dev/null @@ -1 +0,0 @@ -[{"path":"/articles/vignette1.html","id":"generalized-linear-latent-variable-models","dir":"Articles","previous_headings":"","what":"Generalized linear latent variable models","title":"Analysing multivariate abundance data using gllvm","text":"multivariate abundance dataset can defined matrix abundances, nn rows (usually sites) mm columns responses (usually species). Denote abundance jjth species iith site yijy_{ij}. set k environmental variables, experimental treatments, may also recorded site stored vector 𝐱=(xi1,...,xik)\\boldsymbol{x}_i = (x_{i1}, ..., x_{ik}). GLLVM regresses mean abundance μij\\mu_{ij} environmental variables vector d Loading required package: TMB #> #> Attaching package: 'gllvm' #> The following object is masked from 'package:mvabund': #> #> coefplot #> The following object is masked from 'package:stats': #> #> simulate data(antTraits) y <- as.matrix(antTraits$abund) X <- scale(as.matrix(antTraits$env)) TR <- antTraits$traits"},{"path":"/articles/vignette1.html","id":"data-input","dir":"Articles","previous_headings":"","what":"Data input","title":"Analysing multivariate abundance data using gllvm","text":"Main function gllvm package gllvm(), can used fit GLLVMs multivariate data important arguments listed following: Data input can specified using “wide format” matrices via y, X TR arguments. alternative way use long format via data argument along formula. Notice formula can also used model specification data given wide format. following lines ant data re-organised long format. model can fitted number latent variables can defined using argument num.lv. default number latent variables two. important arguments gllvm call row.eff defining type row effects (none, fixed random), offset potential inclusion offsets, Power defining power parameter Tweedie distribution starting.val judicious choice starting values latent variables. List available distributions mean, E(yij)E(y_{ij}), mean-variance, V(μij)V(\\mu_{ij}), functions, estimation methods link functions various response types table .","code":"gllvm(y = NULL, X = NULL, TR = NULL, data = NULL, formula = NULL, num.lv = 2, family, method = \"VA\", row.eff = FALSE, offset = NULL, Power = 1.5, starting.val = \"res\", ...) # Model without predictors: gllvm(y, family = \"negative.binomial\") # Model where environmental variables, that is, all variables in X are included: gllvm(y, X, family = \"negative.binomial\") # Fourth corner model, where all main effects for environmental variables in X and # all interactions between variables in X and variables in TR are included: gllvm(y, X, TR, family = \"negative.binomial\") yX <- reshape(data.frame(cbind(y, X)), direction = \"long\", varying = colnames(y), v.names = \"y\", timevar = \"sp\") TR2 <- data.frame(sp = 1:41, TR) datalong <- merge(yX, TR2, by = \"sp\") datalong[1:3, ] #> sp Bare.ground Canopy.cover Shrub.cover Volume.lying.CWD Feral.mammal.dung y #> 1 1 -0.3926017 0.2290869 -0.5748133 0.4373291 -0.1755352 0 #> 2 1 -0.8007744 -0.4475411 -0.8053533 -0.2309758 1.5171255 0 #> 3 1 -0.3585873 -0.4475411 2.9293959 -0.3609125 -0.9278288 0 #> id Femur.length No.spines Pilosity Polymorphism Webers.length #> 1 1 -0.3827814 0 2 1 1.094225 #> 2 2 -0.3827814 0 2 1 1.094225 #> 3 3 -0.3827814 0 2 1 1.094225 # Model without predictors: gllvm(formula = y ~ 1, data = datalong, family = \"negative.binomial\") # Model with environmental variables Bare.ground and Shrub.cover as predictors gllvm(formula = y ~ (Bare.ground + Shrub.cover), data = datalong, family = \"negative.binomial\")"},{"path":"/articles/vignette1.html","id":"model-based-ordination","dir":"Articles","previous_headings":"","what":"Model-based ordination","title":"Analysing multivariate abundance data using gllvm","text":"GLLVMs can used model-based approach unconstrained ordination including (e.g.) two latent variables model predictors. corresponding ordination plot provides graphical representation sites similar terms species composition. model can fitted ant data using function gllvm . consider two count distributions data – Poisson negative binomial (NB). model-based ordination method, GLLVMs offer tools model checking contrast classical algorithm-based ordination methods nMDS. example, default printout includes information criteria, suggest NB distribution better choice Poisson distribution modelling response. addition information criteria, can use residual plots diagnosing model fit. default, plot function utilizes residual function calculate Dunn-Smyth residuals, also known randomized quantile residuals, prints five residual diagnostic plots, including plot residuals linear predictors fitted values, Normal Q-Q plot residuals simulated point-wise 95% confidence interval envelope, residuals row index column index scale-location plot. argument one can define plots produced. residual diagnostics Poisson model shows overdispersion residuals, particular, telltale fan-shape plot residuals fitted values. issues largely resolved NB model. Note latent variables model provide capacity account overdispersion, overdispersed counts always require us move beyond Poisson distribution, although clear evidence need example. appropriate model established data, can construct ordination scatter plot predicted latent variables via ordiplot function. species largest factor loadings (largest norms, ||𝛉j||||\\boldsymbol\\theta_j||), hence strongly associated ordination scores, can added using logical argument biplot, leading biplot finding indicator species corresponding specific sites. ind.spp argument defines number species plotted. command creates biplot ordination plot based GLLVM fitted antTraits data. can see one large cluster sites top many indicator species, smaller clusters indicator species e.g. sites 12–15. 95% prediction regions ordiplot give clue uncertainty estimates. rotation scale latent variables loadings differ actual values order produce biplot predicted latent variables loadings rotated scaled factor loadings species direction sites abundant. Sometimes species names biplot might hard read, especially species names long close . order make figure easier read can change sizes species names biplot using cex.spp. species site names close can use jitter = TRUE order add random variation species site locations. can also shorten species names. can also done model fitted directly changing row names loading matrix, see example .","code":"fitp <- gllvm(y, family = poisson()) fitp #> Call: #> gllvm(y = y, family = poisson()) #> family: #> [1] \"poisson\" #> method: #> [1] \"VA\" #> #> log-likelihood: -2098.632 #> Residual degrees of freedom: 1108 #> AIC: 4441.264 #> AICc: 4468.375 #> BIC: 5065.266 fit_ord <- gllvm(y, family = \"negative.binomial\") fit_ord #> Call: #> gllvm(y = y, family = \"negative.binomial\") #> family: #> [1] \"negative.binomial\" #> method: #> [1] \"VA\" #> #> log-likelihood: -1865.085 #> Residual degrees of freedom: 1067 #> AIC: 4056.171 #> AICc: 4106.325 #> BIC: 4889.878 # Plot residuals for the Poisson model par(mfrow = c(3, 2), mar = c(4, 4, 2, 1)) plot(fitp, var.colors = 1) # Plot residuals for the NB model par(mfrow = c(3, 2), mar = c(4, 4, 2, 1)) plot(fit_ord, var.colors = 1) ordiplot(fit_ord, biplot = TRUE, ind.spp = 15, xlim = c(-3, 3), ylim = c(-3, 3), main = \"Biplot\") ordiplot(fit_ord, biplot = FALSE, ind.spp = 15, xlim = c(-3, 3), ylim = c(-3, 3), main = \"Ordination plot\", predict.region = TRUE) rownames(fit_ord$params$theta) <- paste(\"spp\", 1:ncol(fit_ord$y), sep = \"\") ordiplot(fit_ord, biplot = TRUE, ind.spp = 15, xlim = c(-3, 3), ylim = c(-2, 1.6), main = \"Biplot\", jitter = TRUE, cex.spp = 0.8)"},{"path":"/articles/vignette1.html","id":"model-with-environmental-variables","dir":"Articles","previous_headings":"","what":"Model with environmental variables","title":"Analysing multivariate abundance data using gllvm","text":"Environmental variables can included model, whether study effects assemblages, study patterns species co-occurrence controlling environmental variables. illustrate model including three environmental variables Bare.ground, Canopy.cover Volume.lying.CWD model. Similarly previous example, can use residual analysis information criteria study distribution offers suitable mean-variance relationship responses, many latent variables needed. Based tools model NB distributed responses 1 latent variable chosen. estimated coefficients predictors confidence intervals can plotted using coefplot function, order study nature effects environmental variables species. Function coefplot plots point estimates (ticks) coefficients environmental variables 95% confidence intervals (lines) fit_env model, colored grey (black) denoting intervals () containing zero. resulting plot 95% confidence intervals include zero, indicating majority species exhibit evidence strong association environment species abundance. may due lack information data, much due lack environmental association accounting potential residual species covariation. extreme effect sizes covariates Canopy.cover Volume.lying.CWD explained fact species Myrmecia.pilosula.complex Ochetellus.glaber observed sites percent canopy cover zero species Cardiocondyla.nuda.atalanta observed mainly sites estimated volume Coarse Woody Debris zero sites. Due lack variation effects sizes tend become extreme. Similarly biplot, species names coefficient plot can also changed changing row names coefficient matrix. Species ordering according effects’ sizes optional logical argument order. Alternatively, model-selection covariates, latent variables can performed dredging, using MuMIn package. Though especially large datasets many covariates latent variables, can take run.","code":"criteria <- NULL for(i in 1:5){ fiti <- gllvm(y, X, family = \"negative.binomial\", num.lv = i, sd.errors = FALSE, formula = ~ Bare.ground + Canopy.cover + Volume.lying.CWD, seed = 1234) criteria[i] <- summary(fiti)$AICc names(criteria)[i] = i } # Compare AICc values criteria #> 1 2 3 4 5 #> 4163.565 4215.446 4311.091 4462.069 4612.805 fit_env <- gllvm(y, X, family = \"negative.binomial\", num.lv = 1, formula = ~ Bare.ground + Canopy.cover + Volume.lying.CWD, seed = 1234) coefplot(fit_env, cex.ylab = 0.7, mar = c(4, 9, 2, 1), mfrow=c(1,1)) rownames(fit_env$params$Xcoef) <- paste(\"spp\", 1:ncol(fit_env$y), sep = \"\") coefplot(fit_env, cex.ylab = 0.7, order = FALSE, mfrow=c(1,1)) library(MuMIn) fit_table <- dredge(fiti,varying=list(num.lv=1:5), rank=\"AICc\") subset(fit_table, delta<2) # Global model call: gllvm(y = y, X = X, formula = ~Bare.ground + Canopy.cover + Volume.lying.CWD, # family = \"negative.binomial\", num.lv = i, sd.errors = FALSE, # seed = 1234) # --- # Model selection table # (Int) Cnp.cvr num.lv df logLik AICc delta weight # 11 + + 1 164 -1839.914 4058.6 0 1 # Models ranked by AICc(x)"},{"path":"/articles/vignette1.html","id":"studying-co-occurrence-patterns","dir":"Articles","previous_headings":"","what":"Studying co-occurrence patterns","title":"Analysing multivariate abundance data using gllvm","text":"Latent variables induce correlation across response variables, provide means estimating correlation patterns across species, extent can explained environmental variables. Information correlation stored factor loadings 𝛉j\\boldsymbol\\theta_j, residual covariance matrix, storing information species co-occurrence explained environmental variables, can calculated 𝚺=𝚪𝚪⊤\\boldsymbol\\Sigma=\\boldsymbol\\Gamma \\boldsymbol\\Gamma^\\top, 𝚪=[𝛉1…𝛉m]′\\boldsymbol\\Gamma = [\\boldsymbol\\theta_1\\dots\\boldsymbol\\theta_m]'. getResidualCor function can used estimate correlation matrix linear predictor across species. can visualised using corrplot package: Group squares coloured dark blue correlation plot indicate clusters species positively correlated , controlling (co)variation species explained environmental terms fit_env (linear terms Bare.ground, Canopy.cover Volumn.lying.CWD). also group squares coloured red, indicating negative correlation pairs species. effect environmental variables species correlations can seen comparing residual correlation matrix () correlation matrix given model without environmental variables (). Residual correlations can also visualized residual biplot, highly correlated species tend lie direction negatively correlated species opposite side biplot, see figure (b) . order fit fit_env model two latent variables compare model without predictors fit_ord (). biplots can see species 23 (Monomorium.rothsteini), 24 (Monomorium.sydneyense), 28 (Nylanderia.sp..) 41 (Tetramorium.sp..) close . can also seen correlation plots species correlations highly positive. getResidualCov function can used quantify amount variation data can explained environmental variables. Specifically, use trace residual covariance matrix 𝚺\\boldsymbol\\Sigma measure unexplained variation, can compare quantity environmental variables included model. ratio traces suggests environmental variables explain approximately 40% (co)variation ant species abundances.","code":"# Residual correlation matrix: cr <- getResidualCor(fit_env) library(corrplot); library(gclus) #> corrplot 0.94 loaded #> Loading required package: cluster corrplot(cr[order.single(cr), order.single(cr)], diag = FALSE, type = \"lower\", method = \"square\", tl.cex = 0.5, tl.srt = 45, tl.col = \"red\") # Fit GLLVM without environmental variables and 1 latent variable: fit1lv <- gllvm(y, family = \"negative.binomial\", num.lv = 1, seed = 1234) # Correlation matrix cr0 <- getResidualCor(fit1lv) corrplot(cr0[order.single(cr0), order.single(cr0)], diag = FALSE, type = \"lower\", method = \"square\", tl.cex = 0.5, tl.srt = 45, tl.col = \"red\") fit_env2 <- gllvm(y, X, family = \"negative.binomial\", num.lv = 2, formula = ~ Bare.ground + Canopy.cover + Volume.lying.CWD, seed = 12345) rownames(fit_env2$params$theta) <- paste(\"sp\", 1:ncol(fit_env2$y), sep = \"\") ordiplot(fit_ord, biplot = TRUE, ind.spp = 15, jitter = TRUE, cex.spp = 1, xlim = c(-4, 3.5), ylim = c(-2.5, 2), main = \"(a)\") ordiplot(fit_env2, biplot = TRUE, ind.spp = 15, jitter = TRUE, cex.spp = 1, xlim = c(-4, 3.5), ylim = c(-2.5, 2), main = \"(b)\") rcov <- getResidualCov(fit_env, adjust = 0) rcov0 <- getResidualCov(fit1lv, adjust = 0) rcov0$trace; rcov$trace #> [1] 44.15558 #> [1] 25.83591 1 - rcov$trace / rcov0$trace #> [1] 0.4148892"},{"path":"/articles/vignette1.html","id":"incorporating-functional-traits-into-fourth-corner-models","dir":"Articles","previous_headings":"","what":"Incorporating functional traits into fourth corner models","title":"Analysing multivariate abundance data using gllvm","text":"previous section, environmental associations studied fitting separate terms species, without attempting explain different species respond differently environment. Adding functional traits model offers potential explain species differ environmental response. fourth corner model can fitted using argument TR include traits. argument formula used specify model. Random row effects included using row.eff = \"random\" argument randomX used incorporate random slopes model. defined model complex, use three starting points initial values latent variables via argument n.init order ensure maximum point reached. previously, coefficients can plotted using function coefplot. environmental-trait interaction terms, also known fourth corner terms, can visualized using function levelplot package lattice, see . resulting plots indicate interactions trait variable Polymorphism Bare.ground Canopy.cover, Pilosity3 Canopy.cover strongest effects ant abundances.","code":"fit_4th <- gllvm(y, X, TR, family = \"negative.binomial\", num.lv = 1, formula = y ~ (Bare.ground + Canopy.cover + Volume.lying.CWD) + (Bare.ground + Canopy.cover + Volume.lying.CWD) : (Pilosity + Polymorphism + Webers.length), seed = 123, row.eff = \"random\", control.start =list(n.init = 3, jitter.var = 0.01), randomX = ~ Bare.ground + Canopy.cover + Volume.lying.CWD) library(lattice) coefplot(fit_4th, mar = c(4, 11, 1, 1), cex.ylab = 0.8) fourth <- fit_4th$fourth.corner a <- 1.5 colort <- colorRampPalette(c(\"blue\", \"white\", \"red\")) plot.4th <- levelplot((as.matrix(fourth)), xlab = \"Environmental Variables\", ylab = \"Species traits\", col.regions = colort(100), cex.lab = 1.3, at = seq(-a, a, length = 100), scales = list(x = list(rot = 45))) plot.4th"},{"path":"/articles/vignette1.html","id":"example-model-based-inference","dir":"Articles","previous_headings":"","what":"Example: Model-based inference","title":"Analysing multivariate abundance data using gllvm","text":"key point departure gllvm package, compared alternative ways fit GLLVMs, using maximum likelihood framework, likelihood-based machinery becomes available inference. particular example likelihood ratio testing, available via anova function comparing nested models. noted however tests can expected maintain (close ) valid Type error rates number parameters involved model small (rely large-NN-small-mm asymptotics). previous example, trait-environment interactions seem relatively small confidence intervals include zero values. Using likelihood ratio test can test traits vary environment. , model without traits fitted likelihood ratio test comparing model previous one performed. Based output applying anova function, pp value suggests fourth corner model interactions appropriate. Notice order separate model main effects environmental variables one species specific coefficients environmental variables, include TR matrix function call.","code":"fit_4th2 <- gllvm(y, X, TR, family = \"negative.binomial\", num.lv = 1, formula = y ~ (Bare.ground + Canopy.cover + Volume.lying.CWD), seed = 123, row.eff = \"random\", control.start =list(n.init = 3, jitter.var = 0.01), randomX = ~ Bare.ground + Canopy.cover + Volume.lying.CWD) # Test interactions using likelihood ratio test: anova(fit_4th, fit_4th2) # Model 1 : y ~ (Bare.ground + Canopy.cover + Volume.lying.CWD) # Model 2 : y ~ (Bare.ground + Canopy.cover + Volume.lying.CWD) + (Bare.ground + # Canopy.cover + Volume.lying.CWD):(Pilosity + Polymorphism + Webers.length) # Resid.Df D Df.diff P.value # 1 1097 0.00000 0 # 2 1079 61.26473 18 1.27598e-06"},{"path":[]},{"path":[]},{"path":[]},{"path":"/articles/vignette3.html","id":"r-package-gllvm","dir":"Articles","previous_headings":"Introduction to gllvm","what":"R package gllvm","title":"Introduction to gllvm Part 1: Ordination","text":"R package gllvm fits Generalized linear latent variable models (GLLVM) multivariate data1. Developed J. Niku, W.Brooks, R. Herliansyah, F.K.C. Hui, S. Taskinen, D.. Warton, B. van der Veen. package available GitHub: https://github.com/JenniNiku/gllvm CRAN: https://CRAN.R-project.org/package=gllvm Package installation: gllvm package depends R packages TMB mvabund, try install first. GLLVMs computationally intensive fit due integral log-likelihood. gllvm package overcomes computational problems applying closed form approximations log-likelihood using automatic differentiation C++ accelerate computation times (TMB2). Estimation performed using either variational approximation (VA3), extended variational approximation method (EVA4) Laplace approximation (LA5) method implemented via R package TMB. VA method faster accurate LA, applicable distributions link functions. Using gllvm can fit GLLVM without covariates gives model-based ordination biplots GLLVM environmental covariates studying factors explaining species abundance Fourth corner models latent variables studying environmental-trait interactions GLLVM without latent variables fits basic multivariate GLMs Additional tools: model checking, model selection, inference, visualization.","code":"# From CRAN install.packages(gllvm) # OR # From GitHub using devtools package's function install_github devtools::install_github(\"JenniNiku/gllvm\")"},{"path":[]},{"path":"/articles/vignette3.html","id":"data-input","dir":"Articles","previous_headings":"Introduction to gllvm","what":"Data input","title":"Introduction to gllvm Part 1: Ordination","text":"Main function gllvm package gllvm(), can used fit GLLVMs multivariate data important arguments listed following: y: matrix abundances X: matrix data.frame environmental variables TR: matrix data.frame trait variables family: distribution responses num.lv: number latent variables method: approximation used “VA” “LA” row.eff: type row effects n.init: number random starting points latent variables starting.val: starting value method","code":"gllvm(y = NULL, X = NULL, TR = NULL, family, num.lv = 2, formula = NULL, method = \"VA\", row.eff = FALSE, n.init=1, starting.val =\"res\", ...) library(gllvm) ## Loading required package: TMB ## ## Attaching package: 'gllvm' ## The following object is masked from 'package:stats': ## ## simulate"},{"path":"/articles/vignette3.html","id":"example-spiders","dir":"Articles","previous_headings":"Introduction to gllvm","what":"Example: Spiders","title":"Introduction to gllvm Part 1: Ordination","text":"Abundances 12 hunting spider species measured count 28 sites6. soil.dry: Soil dry mass bare.sand: cover bare sand fallen.leaves: cover fallen leaves/twigs moss: cover moss herb.layer: cover herb layer reflection: reflection soil surface cloudless sky","code":""},{"path":"/articles/vignette3.html","id":"data-fitting","dir":"Articles","previous_headings":"Introduction to gllvm","what":"Data fitting","title":"Introduction to gllvm Part 1: Ordination","text":"Fitting basic GLLVM g(E(yij))=β0j+𝐮′𝛉jg(E(y_{ij})) = \\beta_{0j} + \\boldsymbol{u}_i'\\boldsymbol{\\theta}_j gllvm:","code":"data(\"spider\", package = \"mvabund\") library(gllvm) fitnb <- gllvm(y = spider$abund, family = \"negative.binomial\", num.lv = 2) fitnb ## Call: ## gllvm(y = spider$abund, family = \"negative.binomial\", num.lv = 2) ## family: ## [1] \"negative.binomial\" ## method: ## [1] \"VA\" ## ## log-likelihood: -733.6807 ## Residual degrees of freedom: 289 ## AIC: 1561.361 ## AICc: 1577.028 ## BIC: 1740.766"},{"path":"/articles/vignette3.html","id":"residual-analysis","dir":"Articles","previous_headings":"Introduction to gllvm","what":"Residual analysis","title":"Introduction to gllvm Part 1: Ordination","text":"Residual analysis can used assess appropriateness fitted model (eg. terms mean-variance relationship). Randomized quantile/Dunn-Smyth residuals7 used package, provide standard normal distributed residuals, even discrete responses, case proper model.","code":"par(mfrow = c(1,2)) plot(fitnb, which = 1:2)"},{"path":"/articles/vignette3.html","id":"model-selection","dir":"Articles","previous_headings":"Introduction to gllvm","what":"Model selection","title":"Introduction to gllvm Part 1: Ordination","text":"Information criteria can used model selection. example, compare distributions choose suitable number latent variables.","code":"fitp <- gllvm(y = spider$abund, family = poisson(), num.lv = 2) fitnb <- gllvm(y = spider$abund, family = \"negative.binomial\", num.lv = 2) AIC(fitp) ## [1] 1761.655 AIC(fitnb) ## [1] 1561.361"},{"path":"/articles/vignette3.html","id":"exercises","dir":"Articles","previous_headings":"","what":"Exercises","title":"Introduction to gllvm Part 1: Ordination","text":"Try exercises next 10 minutes, many time enough . E1. Load spider data mvabund package take look dataset. 1. Print data covariates draw boxplot data. E2. Fit GLLVM spider data suitable distribution. Data consists counts spider species. 2. Response variables spider data counts, Poisson, negative binomial zero inflated Poisson possible. However, ZIP implemented Laplace method, need noticed, models fitted different methods can compared information criteria. Let’s try just Poisson NB. NOTE results may exactly , initial values model fit slightly different, results may also differ slightly. Based AIC, NB distribution suits better. residual analysis: NOTE package uses randomized quantile residuals time plot residuals, look little different. comparisons Laplace method well, using code , give conclusion NB distribution suits best: E3. Explore fitted model. estimates parameters? predicted latent variables? Standard errors? 3. Lets explore fitted model: E4. Fit model different numbers latent variables. 4. Default number latent variables 2. Let’s try 1 3 latent variables well: E5. Include environmental variables GLLVM explore model fit. 5. Environmental variables can included argument X: problems model fitting. model converges infinity local maxima: GLLVMs complex models starting values big role. Choosing different starting value method (see argument starting.val) use multiple runs pick one giving highest log-likelihood value using argument n.init. variation starting points can added jitter.var. results look answers: results may exactly answers, initial values model fit slightly different, results may also differ slightly.","code":"library(gllvm) data(\"spider\", package = \"mvabund\") # more info: # ?spider # response matrix: spider$abund ## Alopacce Alopcune Alopfabr Arctlute Arctperi Auloalbi Pardlugu Pardmont ## [1,] 25 10 0 0 0 4 0 60 ## [2,] 0 2 0 0 0 30 1 1 ## [3,] 15 20 2 2 0 9 1 29 ## [4,] 2 6 0 1 0 24 1 7 ## [5,] 1 20 0 2 0 9 1 2 ## [6,] 0 6 0 6 0 6 0 11 ## [7,] 2 7 0 12 0 16 1 30 ## [8,] 0 11 0 0 0 7 55 2 ## [9,] 1 1 0 0 0 0 0 26 ## [10,] 3 0 1 0 0 0 0 22 ## [11,] 15 1 2 0 0 1 0 95 ## [12,] 16 13 0 0 0 0 0 96 ## [13,] 3 43 1 2 0 18 1 24 ## [14,] 0 2 0 1 0 4 3 14 ## [15,] 0 0 0 0 0 0 6 0 ## [16,] 0 3 0 0 0 0 6 0 ## [17,] 0 0 0 0 0 0 2 0 ## [18,] 0 1 0 0 0 0 5 0 ## [19,] 0 1 0 0 0 0 12 0 ## [20,] 0 2 0 0 0 0 13 0 ## [21,] 0 1 0 0 0 0 16 1 ## [22,] 7 0 16 0 4 0 0 2 ## [23,] 17 0 15 0 7 0 2 6 ## [24,] 11 0 20 0 5 0 0 3 ## [25,] 9 1 9 0 0 2 1 11 ## [26,] 3 0 6 0 18 0 0 0 ## [27,] 29 0 11 0 4 0 0 1 ## [28,] 15 0 14 0 1 0 0 6 ## Pardnigr Pardpull Trocterr Zoraspin ## [1,] 12 45 57 4 ## [2,] 15 37 65 9 ## [3,] 18 45 66 1 ## [4,] 29 94 86 25 ## [5,] 135 76 91 17 ## [6,] 27 24 63 34 ## [7,] 89 105 118 16 ## [8,] 2 1 30 3 ## [9,] 1 1 2 0 ## [10,] 0 0 1 0 ## [11,] 0 1 4 0 ## [12,] 1 8 13 0 ## [13,] 53 72 97 22 ## [14,] 15 72 94 32 ## [15,] 0 0 25 3 ## [16,] 2 0 28 4 ## [17,] 0 0 23 2 ## [18,] 0 0 25 0 ## [19,] 1 0 22 3 ## [20,] 0 0 22 2 ## [21,] 0 1 18 2 ## [22,] 0 0 1 0 ## [23,] 0 0 1 0 ## [24,] 0 0 0 0 ## [25,] 6 0 16 6 ## [26,] 0 0 1 0 ## [27,] 0 0 0 0 ## [28,] 0 0 2 0 # Environmental variables spider$x ## soil.dry bare.sand fallen.leaves moss herb.layer reflection ## 1 2.3321 0.0000 0.0000 3.0445 4.4543 3.9120 ## 2 3.0493 0.0000 1.7918 1.0986 4.5643 1.6094 ## 3 2.5572 0.0000 0.0000 2.3979 4.6052 3.6889 ## 4 2.6741 0.0000 0.0000 2.3979 4.6151 2.9957 ## 5 3.0155 0.0000 0.0000 0.0000 4.6151 2.3026 ## 6 3.3810 2.3979 3.4340 2.3979 3.4340 0.6931 ## 7 3.1781 0.0000 0.0000 0.6931 4.6151 2.3026 ## 8 2.6247 0.0000 4.2627 1.0986 3.4340 0.6931 ## 9 2.4849 0.0000 0.0000 4.3307 3.2581 3.4012 ## 10 2.1972 3.9318 0.0000 3.4340 3.0445 3.6889 ## 11 2.2192 0.0000 0.0000 4.1109 3.7136 3.6889 ## 12 2.2925 0.0000 0.0000 3.8286 4.0254 3.6889 ## 13 3.5175 1.7918 1.7918 0.6931 4.5109 3.4012 ## 14 3.0865 0.0000 0.0000 1.7918 4.5643 1.0986 ## 15 3.2696 0.0000 4.3944 0.6931 3.0445 0.6931 ## 16 3.0301 0.0000 4.6052 0.6931 0.6931 0.0000 ## 17 3.3322 0.0000 4.4543 0.6931 3.0445 1.0986 ## 18 3.1224 0.0000 4.3944 0.0000 3.0445 1.0986 ## 19 2.9232 0.0000 4.5109 1.6094 1.6094 0.0000 ## 20 3.1091 0.0000 4.5951 0.6931 0.6931 0.0000 ## 21 2.9755 0.0000 4.5643 0.6931 1.7918 0.0000 ## 22 1.2528 3.2581 0.0000 4.3307 0.6931 3.9120 ## 23 1.1939 3.0445 0.0000 4.0254 3.2581 4.0943 ## 24 1.6487 3.2581 0.0000 4.0254 3.0445 4.0073 ## 25 1.8245 3.5835 0.0000 1.0986 4.1109 2.3026 ## 26 0.9933 4.5109 0.0000 1.7918 1.7918 4.3820 ## 27 0.9555 2.3979 0.0000 3.8286 3.4340 3.6889 ## 28 0.9555 3.4340 0.0000 3.7136 3.4340 3.6889 # Plot data using boxplot: boxplot(spider$abund) # Take a look at the function documentation for help: ?gllvm # Fit a GLLVM to data fitp <- gllvm(y = spider$abund, family = poisson(), num.lv = 2) fitp ## Call: ## gllvm(y = spider$abund, family = poisson(), num.lv = 2) ## family: ## [1] \"poisson\" ## method: ## [1] \"VA\" ## ## log-likelihood: -845.8277 ## Residual degrees of freedom: 301 ## AIC: 1761.655 ## AICc: 1770.055 ## BIC: 1895.254 fitnb <- gllvm(y = spider$abund, family = \"negative.binomial\", num.lv = 2) fitnb ## Call: ## gllvm(y = spider$abund, family = \"negative.binomial\", num.lv = 2) ## family: ## [1] \"negative.binomial\" ## method: ## [1] \"VA\" ## ## log-likelihood: -733.6807 ## Residual degrees of freedom: 289 ## AIC: 1561.361 ## AICc: 1577.028 ## BIC: 1740.766 # Fit a GLLVM to data plot(fitp) plot(fitnb) fitLAp <- gllvm(y = spider$abund, family = poisson(), method = \"LA\", num.lv = 2) fitLAnb <- gllvm(y = spider$abund, family = \"negative.binomial\", method = \"LA\", num.lv = 2) fitLAzip <- gllvm(y = spider$abund, family = \"ZIP\", method = \"LA\", num.lv = 2) AIC(fitLAp) AIC(fitLAnb) AIC(fitLAzip) # Parameters: coef(fitnb) ## $Species.scores ## LV1 LV2 ## Alopacce 1.0000000 0.0000000 ## Alopcune -0.2631740 1.0000000 ## Alopfabr 0.9012964 -0.4840078 ## Arctlute -0.7026951 2.0282163 ## Arctperi 0.5941041 -1.5893485 ## Auloalbi -0.6529384 1.5332130 ## Pardlugu -0.8880584 -0.0283346 ## Pardmont 0.7492841 0.5884815 ## Pardnigr -0.5748022 1.7798474 ## Pardpull -0.4149376 1.9481946 ## Trocterr -0.4693903 0.7878657 ## Zoraspin -0.6961561 1.1566005 ## ## $sigma.lv ## LV1 LV2 ## 1.803892 1.828690 ## ## $Intercept ## Alopacce Alopcune Alopfabr Arctlute Arctperi Auloalbi Pardlugu ## 0.7737550 0.5527384 -0.1428596 -3.5862506 -3.3681967 -0.7299217 0.3189523 ## Pardmont Pardnigr Pardpull Trocterr Zoraspin ## 1.6255407 -0.2729636 -0.1332579 2.6566655 0.2477211 ## ## $inv.phi ## Alopacce Alopcune Alopfabr Arctlute Arctperi Auloalbi Pardlugu ## 1.3064181 1.4682482 0.7052467 0.8985537 2.3306414 1.5386146 1.1528918 ## Pardmont Pardnigr Pardpull Trocterr Zoraspin ## 1.6180079 2.5401112 2.1949143 12.9753513 2.5724225 ## ## $phi ## Alopacce Alopcune Alopfabr Arctlute Arctperi Auloalbi Pardlugu Pardmont ## 0.7654517 0.6810838 1.4179435 1.1128995 0.4290664 0.6499353 0.8673841 0.6180440 ## Pardnigr Pardpull Trocterr Zoraspin ## 0.3936835 0.4555987 0.0770692 0.3887386 # Where are the predicted latent variable values? just fitp$lvs or getLV(fitnb) ## LV1 LV2 ## Row1 0.9280716 1.2703921608 ## Row2 -0.6833799 0.7931112996 ## Row3 0.6761008 1.2744024537 ## Row4 -0.2474688 1.1495300096 ## Row5 -0.3612717 1.2169150843 ## Row6 -0.3523948 1.0083966313 ## Row7 0.0290453 1.4259839281 ## Row8 -1.5218059 -0.0718307843 ## Row9 0.9102994 0.0008130686 ## Row10 1.0371311 -0.4941576829 ## Row11 1.4890401 0.3029948635 ## Row12 1.3244847 0.8073754550 ## Row13 0.1153634 1.3565782725 ## Row14 -0.4371787 1.0141354167 ## Row15 -1.3193982 -0.5458435954 ## Row16 -1.1743660 -0.2435487204 ## Row17 -1.1130624 -0.5141217705 ## Row18 -1.1587204 -0.5439088158 ## Row19 -1.3405175 -0.5038367050 ## Row20 -1.3668834 -0.5930933717 ## Row21 -1.1394851 -0.4765512978 ## Row22 0.7642653 -1.3470526207 ## Row23 0.9210288 -1.3815121496 ## Row24 0.9791178 -1.3962675403 ## Row25 0.6313729 0.5764522986 ## Row26 0.2747960 -1.9652036873 ## Row27 1.1157439 -1.3103619005 ## Row28 1.0192948 -0.8263728575 # Standard errors for parameters: fitnb$sd ## $theta ## LV1 LV2 ## Alopacce 0.0000000 0.0000000 ## Alopcune 0.2733177 0.0000000 ## Alopfabr 0.3298680 0.2043612 ## Arctlute 0.6735202 0.7836738 ## Arctperi 0.4752967 0.5592892 ## Auloalbi 0.4402796 0.3893924 ## Pardlugu 0.2273684 0.2004821 ## Pardmont 0.2195966 0.1816528 ## Pardnigr 0.4727799 0.3799419 ## Pardpull 0.4960265 0.4108329 ## Trocterr 0.2095264 0.1569012 ## Zoraspin 0.3474686 0.2796226 ## ## $sigma.lv ## LV1 LV2 ## 0.4163533 0.4258952 ## ## $beta0 ## Alopacce Alopcune Alopfabr Arctlute Arctperi Auloalbi Pardlugu Pardmont ## 0.4519226 0.4628608 0.5478520 1.7071988 1.4653249 0.7891611 0.4390375 0.3995752 ## Pardnigr Pardpull Trocterr Zoraspin ## 0.7865322 0.8338770 0.3337800 0.5826921 ## ## $inv.phi ## Alopacce Alopcune Alopfabr Arctlute Arctperi Auloalbi Pardlugu Pardmont ## 0.6026260 0.6024449 0.3958156 0.5792937 1.8032183 0.8380663 0.5810814 0.7757222 ## Pardnigr Pardpull Trocterr Zoraspin ## 1.3144387 1.2462689 6.8906501 1.2848468 ## ## $phi ## Alopacce Alopcune Alopfabr Arctlute Arctperi Auloalbi Pardlugu ## 0.35308842 0.27945917 0.79581245 0.71748153 0.33196891 0.35401255 0.43717961 ## Pardmont Pardnigr Pardpull Trocterr Zoraspin ## 0.29630908 0.20372057 0.25868821 0.04092813 0.19416313 # In exercise 2, we fitted GLLVM with two latent variables fitnb ## Call: ## gllvm(y = spider$abund, family = \"negative.binomial\", num.lv = 2) ## family: ## [1] \"negative.binomial\" ## method: ## [1] \"VA\" ## ## log-likelihood: -733.6807 ## Residual degrees of freedom: 289 ## AIC: 1561.361 ## AICc: 1577.028 ## BIC: 1740.766 # How about 1 or 3 LVs fitnb1 <- gllvm(y = spider$abund, family = \"negative.binomial\", num.lv = 1) fitnb1 ## Call: ## gllvm(y = spider$abund, family = \"negative.binomial\", num.lv = 1) ## family: ## [1] \"negative.binomial\" ## method: ## [1] \"VA\" ## ## log-likelihood: -759.4012 ## Residual degrees of freedom: 300 ## AIC: 1590.802 ## AICc: 1599.712 ## BIC: 1728.218 getLV(fitnb1) ## LV1 ## Row1 -0.81676413 ## Row2 -0.94960125 ## Row3 -0.91681940 ## Row4 -1.10568473 ## Row5 -1.22144979 ## Row6 -1.03398484 ## Row7 -1.26767644 ## Row8 -0.53478360 ## Row9 0.36592898 ## Row10 1.00877957 ## Row11 0.31276001 ## Row12 -0.31676991 ## Row13 -1.17619313 ## Row14 -1.03496933 ## Row15 -0.09008794 ## Row16 -0.27458309 ## Row17 -0.02447396 ## Row18 -0.02079744 ## Row19 -0.12968909 ## Row20 -0.06889017 ## Row21 -0.04324447 ## Row22 1.54068229 ## Row23 1.65008583 ## Row24 1.68364476 ## Row25 -0.28906403 ## Row26 1.92897385 ## Row27 1.62325289 ## Row28 1.20009416 fitnb3 <- gllvm(y = spider$abund, family = \"negative.binomial\", num.lv = 3) fitnb3 ## Call: ## gllvm(y = spider$abund, family = \"negative.binomial\", num.lv = 3) ## family: ## [1] \"negative.binomial\" ## method: ## [1] \"VA\" ## ## log-likelihood: -733.6807 ## Residual degrees of freedom: 279 ## AIC: 1581.361 ## AICc: 1605.146 ## BIC: 1798.937 getLV(fitnb3) ## LV1 LV2 LV3 ## Row1 0.92855997 1.2704066937 2.490147e-04 ## Row2 -0.68289382 0.7936434946 -4.250590e-04 ## Row3 0.67654263 1.2745071649 2.713419e-04 ## Row4 -0.24684270 1.1500860175 3.801664e-05 ## Row5 -0.36042112 1.2176476998 5.541020e-04 ## Row6 -0.35190586 1.0088261019 1.163737e-03 ## Row7 0.03029708 1.4267390069 1.056439e-03 ## Row8 -1.52100704 -0.0710999886 -2.349148e-03 ## Row9 0.91092628 -0.0002631222 -2.949115e-04 ## Row10 1.03719421 -0.4947825169 -3.210705e-04 ## Row11 1.48909850 0.3020168483 -4.614553e-04 ## Row12 1.32431104 0.8068430042 -7.479638e-04 ## Row13 0.11566140 1.3569379287 -1.993838e-04 ## Row14 -0.43645442 1.0147814740 2.241292e-04 ## Row15 -1.31860748 -0.5455602127 4.306928e-04 ## Row16 -1.17474725 -0.2435589343 1.754225e-04 ## Row17 -1.11197409 -0.5137065542 5.233045e-04 ## Row18 -1.15819895 -0.5438243299 3.008523e-04 ## Row19 -1.34038762 -0.5036427180 1.120733e-04 ## Row20 -1.36657978 -0.5927568262 -1.113443e-04 ## Row21 -1.13970938 -0.4766759052 -3.724385e-04 ## Row22 0.76499682 -1.3477413239 5.881954e-05 ## Row23 0.92092061 -1.3819481717 -5.979814e-04 ## Row24 0.97910691 -1.3962196048 -6.646905e-05 ## Row25 0.63223200 0.5766255674 7.922041e-04 ## Row26 0.27486244 -1.9659703788 -4.974432e-05 ## Row27 1.11558856 -1.3109958578 -7.057136e-05 ## Row28 1.01937654 -0.8279080554 1.168999e-04 fitnbx <- gllvm(y = spider$abund, X = spider$x, family = \"negative.binomial\", seed = 123, num.lv = 2) fitnbx ## Call: ## gllvm(y = spider$abund, X = spider$x, family = \"negative.binomial\", ## num.lv = 2, seed = 123) ## family: ## [1] \"negative.binomial\" ## method: ## [1] \"VA\" ## ## log-likelihood: -593.6749 ## Residual degrees of freedom: 217 ## AIC: 1425.35 ## AICc: 1557.572 ## BIC: 1879.586 coef(fitnbx) ## $Species.scores ## LV1 LV2 ## Alopacce 1.00000000 0.000000e+00 ## Alopcune 0.65033064 1.000000e+00 ## Alopfabr 4.60955070 5.839337e-01 ## Arctlute -1.54308018 1.152119e+00 ## Arctperi 1.57923376 3.724113e-07 ## Auloalbi -1.24985864 6.094446e-01 ## Pardlugu -8.27756341 1.960724e-01 ## Pardmont 1.62553948 3.640396e-01 ## Pardnigr -0.02217957 1.070667e+00 ## Pardpull -0.31400009 7.281194e-01 ## Trocterr -1.94940036 4.990269e-01 ## Zoraspin 0.31162305 7.370960e-01 ## ## $sigma.lv ## LV1 LV2 ## 4.198566e-09 9.499576e-01 ## ## $Intercept ## Alopacce Alopcune Alopfabr Arctlute Arctperi Auloalbi ## -1.8118034 -4.4229772 -1.6430780 -14.7012613 -14.9127415 -15.7161077 ## Pardlugu Pardmont Pardnigr Pardpull Trocterr Zoraspin ## 7.9349699 -6.3785000 -5.1520389 -13.0281981 -0.1999952 -3.8441590 ## ## $Xcoef ## soil.dry bare.sand fallen.leaves moss herb.layer ## Alopacce -0.9580696 -0.09050833 -0.3242683 0.10124549 0.73708820 ## Alopcune 1.3493055 -0.45012971 0.0171826 -0.19948113 0.41919734 ## Alopfabr -0.8697778 0.69550223 -0.4033527 0.54014731 0.30180782 ## Arctlute 5.8764638 0.16535494 -1.6723058 0.34396786 -0.12417544 ## Arctperi -1.7802096 0.23859650 -1.8760391 0.49600665 0.02128078 ## Auloalbi 0.2248309 -0.04627880 0.6286176 0.06258915 4.05162146 ## Pardlugu -2.5240359 -0.71558231 0.3620669 -0.37442348 0.58627107 ## Pardmont 1.5850692 0.13313869 -0.5143564 0.88718490 0.73395038 ## Pardnigr 2.5563703 -0.02664628 -0.8483469 -0.45644924 0.72835939 ## Pardpull 3.0008808 -0.35252699 -0.4703709 0.36475658 1.95127965 ## Trocterr 1.2400373 -0.23016156 -0.2275185 -0.20328000 0.44569773 ## Zoraspin 2.1000129 0.11996378 -0.5721528 -0.09000736 0.61975217 ## reflection ## Alopacce 0.86935167 ## Alopcune 0.42105075 ## Alopfabr 0.06149616 ## Arctlute -0.64289561 ## Arctperi 4.00723441 ## Auloalbi -0.54358192 ## Pardlugu -1.16980030 ## Pardmont 0.07820141 ## Pardnigr -0.53365350 ## Pardpull -0.36801919 ## Trocterr -0.29455636 ## Zoraspin -0.93149392 ## ## $inv.phi ## Alopacce Alopcune Alopfabr Arctlute Arctperi Auloalbi ## 9.146737e+00 2.937857e+00 7.757592e+00 2.022399e+00 4.385230e+06 1.022941e+01 ## Pardlugu Pardmont Pardnigr Pardpull Trocterr Zoraspin ## 2.770437e+01 1.990873e+00 7.672767e+00 1.667735e+01 2.643112e+01 6.321633e+00 ## ## $phi ## Alopacce Alopcune Alopfabr Arctlute Arctperi Auloalbi ## 1.093286e-01 3.403842e-01 1.289060e-01 4.944622e-01 2.280382e-07 9.775736e-02 ## Pardlugu Pardmont Pardnigr Pardpull Trocterr Zoraspin ## 3.609539e-02 5.022923e-01 1.303311e-01 5.996155e-02 3.783419e-02 1.581870e-01 # confidence intervals for parameters: confint(fitnbx) ## 2.5 % 97.5 % ## sigma.lv.LV1 -6.449473e-07 6.533444e-07 ## sigma.lv.LV2 4.339237e-01 1.465992e+00 ## theta.LV1.1 1.000000e+00 1.000000e+00 ## theta.LV1.2 -1.369205e+08 1.369205e+08 ## theta.LV1.3 -7.837880e+07 7.837881e+07 ## theta.LV1.4 -1.248100e+08 1.248100e+08 ## theta.LV1.5 -4.219775e+04 4.220090e+04 ## theta.LV1.6 -5.925460e+07 5.925459e+07 ## theta.LV1.7 -2.579623e+07 2.579621e+07 ## theta.LV1.8 -1.211036e+08 1.211036e+08 ## theta.LV1.9 -1.069053e+08 1.069053e+08 ## theta.LV1.10 -7.661456e+07 7.661456e+07 ## theta.LV1.11 -5.710665e+07 5.710664e+07 ## theta.LV1.12 -8.664399e+07 8.664399e+07 ## theta.LV2.1 0.000000e+00 0.000000e+00 ## theta.LV2.2 1.000000e+00 1.000000e+00 ## theta.LV2.3 -5.150183e-02 1.219369e+00 ## theta.LV2.4 -1.944572e-01 2.498696e+00 ## theta.LV2.5 -1.229696e-03 1.230441e-03 ## theta.LV2.6 5.422453e-02 1.164665e+00 ## theta.LV2.7 -1.285614e-01 5.207062e-01 ## theta.LV2.8 -1.510936e-01 8.791728e-01 ## theta.LV2.9 4.318875e-01 1.709446e+00 ## theta.LV2.10 2.702054e-01 1.186033e+00 ## Intercept.Alopacce 2.336750e-01 7.643787e-01 ## Intercept.Alopcune 2.325701e-01 1.241622e+00 ## Intercept.Alopfabr -5.315546e+00 1.691939e+00 ## Intercept.Arctlute -9.576851e+00 7.308970e-01 ## Intercept.Arctperi -7.967770e+00 4.681614e+00 ## Intercept.Auloalbi -3.137398e+01 1.971456e+00 ## Intercept.Pardlugu -2.630639e+01 -3.519095e+00 ## Intercept.Pardmont -2.247640e+01 -8.955814e+00 ## Intercept.Pardnigr 3.196537e+00 1.267340e+01 ## Intercept.Pardpull -1.042939e+01 -2.327611e+00 ## Intercept.Trocterr -1.019784e+01 -1.062381e-01 ## Intercept.Zoraspin -1.860810e+01 -7.448300e+00 ## Xcoef.soil.dry:Alopacce -2.429291e+00 2.029301e+00 ## Xcoef.soil.dry:Alopcune -7.699380e+00 1.106180e-02 ## Xcoef.soil.dry:Alopfabr -1.627819e+00 -2.883202e-01 ## Xcoef.soil.dry:Arctlute -1.659364e-01 2.864547e+00 ## Xcoef.soil.dry:Arctperi -1.961645e+00 2.220892e-01 ## Xcoef.soil.dry:Auloalbi 4.213010e-01 1.133163e+01 ## Xcoef.soil.dry:Pardlugu -3.435521e+00 -1.248979e-01 ## Xcoef.soil.dry:Pardmont -9.613383e-01 1.411000e+00 ## Xcoef.soil.dry:Pardnigr -3.776895e+00 -1.271176e+00 ## Xcoef.soil.dry:Pardpull 6.322576e-01 2.537881e+00 ## Xcoef.soil.dry:Trocterr 1.053284e+00 4.059457e+00 ## Xcoef.soil.dry:Zoraspin 1.556373e+00 4.445389e+00 ## Xcoef.bare.sand:Alopacce 5.869626e-01 1.893112e+00 ## Xcoef.bare.sand:Alopcune 9.200349e-01 3.279991e+00 ## Xcoef.bare.sand:Alopfabr -3.852030e-01 2.041863e-01 ## Xcoef.bare.sand:Arctlute -9.739425e-01 7.368305e-02 ## Xcoef.bare.sand:Arctperi 1.975735e-01 1.193431e+00 ## Xcoef.bare.sand:Auloalbi -1.533905e+00 1.864615e+00 ## Xcoef.bare.sand:Pardlugu -6.816265e-01 1.158820e+00 ## Xcoef.bare.sand:Pardmont -4.622025e-01 3.696449e-01 ## Xcoef.bare.sand:Pardnigr -1.248497e+00 -1.826675e-01 ## Xcoef.bare.sand:Pardpull -1.853032e-01 4.515806e-01 ## Xcoef.bare.sand:Trocterr -5.133315e-01 4.600389e-01 ## Xcoef.bare.sand:Zoraspin -8.538039e-01 1.487499e-01 ## Xcoef.fallen.leaves:Alopacce -4.443042e-01 -1.601889e-02 ## Xcoef.fallen.leaves:Alopcune -2.625610e-01 5.024886e-01 ## Xcoef.fallen.leaves:Alopfabr -9.896539e-01 3.411172e-01 ## Xcoef.fallen.leaves:Arctlute -5.799276e-01 6.142928e-01 ## Xcoef.fallen.leaves:Arctperi -1.537152e+00 7.304470e-01 ## Xcoef.fallen.leaves:Auloalbi -3.798849e+00 4.542370e-01 ## Xcoef.fallen.leaves:Pardlugu -1.673561e+02 1.636040e+02 ## Xcoef.fallen.leaves:Pardmont 1.124858e-01 1.144749e+00 ## Xcoef.fallen.leaves:Pardnigr 3.911008e-02 6.850237e-01 ## Xcoef.fallen.leaves:Pardpull -1.026861e+00 -1.851484e-03 ## Xcoef.fallen.leaves:Trocterr -1.464693e+00 -2.320013e-01 ## Xcoef.fallen.leaves:Zoraspin -9.509773e-01 1.023561e-02 ## Xcoef.moss:Alopacce -4.819962e-01 2.695925e-02 ## Xcoef.moss:Alopcune -1.030295e+00 -1.140110e-01 ## Xcoef.moss:Alopfabr -2.226192e-01 4.251102e-01 ## Xcoef.moss:Arctlute -7.951878e-01 3.962256e-01 ## Xcoef.moss:Arctperi 1.287561e-02 1.067419e+00 ## Xcoef.moss:Auloalbi -9.128146e-01 1.600750e+00 ## Xcoef.moss:Pardlugu -1.220231e-01 1.114036e+00 ## Xcoef.moss:Pardmont -4.179853e-01 5.431636e-01 ## Xcoef.moss:Pardnigr -8.457072e-01 9.686023e-02 ## Xcoef.moss:Pardpull 4.272490e-01 1.347121e+00 ## Xcoef.moss:Trocterr -1.039383e+00 1.264850e-01 ## Xcoef.moss:Zoraspin -8.542468e-02 8.149378e-01 ## Xcoef.herb.layer:Alopacce -4.720118e-01 6.545176e-02 ## Xcoef.herb.layer:Alopcune -5.685103e-01 3.884955e-01 ## Xcoef.herb.layer:Alopfabr 3.371456e-01 1.137031e+00 ## Xcoef.herb.layer:Arctlute -3.383310e-01 1.176726e+00 ## Xcoef.herb.layer:Arctperi -2.708919e-01 8.745076e-01 ## Xcoef.herb.layer:Auloalbi -3.062448e+00 2.814097e+00 ## Xcoef.herb.layer:Pardlugu -4.106232e-01 4.531848e-01 ## Xcoef.herb.layer:Pardmont 2.457165e+00 5.646078e+00 ## Xcoef.herb.layer:Pardnigr 2.739258e-01 8.986164e-01 ## Xcoef.herb.layer:Pardpull 4.636978e-02 1.421531e+00 ## Xcoef.herb.layer:Trocterr -1.339361e-01 1.590655e+00 ## Xcoef.herb.layer:Zoraspin 9.272378e-01 2.975321e+00 ## Xcoef.reflection:Alopacce 1.164534e-01 7.749420e-01 ## Xcoef.reflection:Alopcune -1.629915e-02 1.255804e+00 ## Xcoef.reflection:Alopfabr 3.390305e-01 1.399673e+00 ## Xcoef.reflection:Arctlute -3.763276e-01 1.218429e+00 ## Xcoef.reflection:Arctperi -9.861328e-01 1.109125e+00 ## Xcoef.reflection:Auloalbi -1.930076e+00 6.442852e-01 ## Xcoef.reflection:Pardlugu 1.461087e+00 6.553382e+00 ## Xcoef.reflection:Pardmont -1.141760e+00 5.459662e-02 ## Xcoef.reflection:Pardnigr -1.807600e+00 -5.320006e-01 ## Xcoef.reflection:Pardpull -5.106481e-01 6.670509e-01 ## Xcoef.reflection:Trocterr -1.302713e+00 2.354060e-01 ## Xcoef.reflection:Zoraspin -8.994784e-01 1.634400e-01 ## inv.phi.Alopacce -6.348769e-01 4.576424e-02 ## inv.phi.Alopcune -1.527771e+00 -3.352165e-01 ## inv.phi.Alopfabr -1.056783e+01 2.886131e+01 ## inv.phi.Arctlute -7.217570e-02 5.947889e+00 ## inv.phi.Arctperi -8.212985e+00 2.372817e+01 ## inv.phi.Auloalbi -1.057543e+00 5.102341e+00 ## inv.phi.Pardlugu -5.194026e+09 5.202797e+09 ## inv.phi.Pardmont -3.755134e+00 2.421395e+01 ## inv.phi.Pardnigr -4.815644e+01 1.035652e+02 ## inv.phi.Pardpull 5.020224e-01 3.479723e+00 ## inv.phi.Trocterr -1.346396e+00 1.669193e+01 ## inv.phi.Zoraspin -4.389429e+00 3.774414e+01 ## inv.phi.Trocterr -3.376966e+00 5.623921e+01 ## inv.phi.Zoraspin -1.191355e+00 1.383462e+01"},{"path":[]},{"path":"/articles/vignette3.html","id":"gllvm-as-a-model-based-ordination-method","dir":"Articles","previous_headings":"Ordination","what":"GLLVM as a model based ordination method","title":"Introduction to gllvm Part 1: Ordination","text":"GLLVMs can used model-based approach unconstrained ordination including two latent variables model: g(E(yij))=β0j+𝐮′𝛉jg(E(y_{ij})) = \\beta_{0j} + \\boldsymbol{u}_i'\\boldsymbol{\\theta}_j latent variable term try capture underlying factors driving species abundances sites. Predictions two latent variables, 𝐮̂=(ûi1,ûi2)\\boldsymbol{\\hat u}_i=(\\hat u_{i1}, \\hat u_{i2}), provide coordinates sites ordination plot provides graphical representation sites similar terms species composition.","code":""},{"path":"/articles/vignette3.html","id":"ordination-plot","dir":"Articles","previous_headings":"Ordination","what":"Ordination plot","title":"Introduction to gllvm Part 1: Ordination","text":"ordiplot() produces ordination plots based fitted GLLVMs. Uncertainty ordination points model based ordination can assessed prediction regions based prediction errors latent variables. Prediction regions may also help interpreting differences ordination points really sign difference species composition sites.","code":""},{"path":"/articles/vignette3.html","id":"biplot","dir":"Articles","previous_headings":"Ordination","what":"Biplot","title":"Introduction to gllvm Part 1: Ordination","text":"species correlations can visualized biplot8 adding latent variable loadings 𝛉j\\boldsymbol{\\theta}_j ordination sites, producing biplot, (argument biplot = TRUE ordiplot()). biplot latent variables loadings rotated LV loadings species direction sites abundant. Biplot can used finding groups correlated species finding indicator species common specific sites. example, species named Pardlugu common group sites located bottom (eg sites 8, 19, 20 21). x y axes may help interpretation.","code":"ordiplot(fitnb, biplot = TRUE) abline(h = 0, v = 0, lty=2)"},{"path":"/articles/vignette3.html","id":"environmental-gradients","dir":"Articles","previous_headings":"Ordination","what":"Environmental gradients","title":"Introduction to gllvm Part 1: Ordination","text":"potential impact environmental variables species communities can viewed coloring ordination points according variables. example, species named Pardlugu seems prefer sites lot dry soil mass low reflection soil surface cloudless sky. environmental gradients stand quite clearly, indicating , least, differences species compositions sites can explained differences environmental conditions. next step include covariates model study precisely effects environmental variables: g(E(yij))=β0j+𝐱′𝛃j+𝐮′𝛉jg(E(y_{ij})) = \\beta_{0j} + \\boldsymbol{x}_i'\\boldsymbol{\\beta}_{j} + \\boldsymbol{u}_i'\\boldsymbol{\\theta}_j","code":"# Arbitrary color palette, a vector length of 20. Can use, for example, colorRampPalette from package grDevices rbPal <- c(\"#00FA9A\", \"#00EC9F\", \"#00DFA4\", \"#00D2A9\", \"#00C5AF\", \"#00B8B4\", \"#00ABB9\", \"#009DBF\", \"#0090C4\", \"#0083C9\", \"#0076CF\", \"#0069D4\", \"#005CD9\", \"#004EDF\", \"#0041E4\", \"#0034E9\", \"#0027EF\", \"#001AF4\", \"#000DF9\", \"#0000FF\") X <- spider$x par(mfrow = c(3,2), mar=c(4,4,2,2)) for(i in 1:ncol(X)){ Col <- rbPal[as.numeric(cut(X[,i], breaks = 20))] ordiplot(fitnb, symbols = T, s.colors = Col, main = colnames(X)[i], biplot = TRUE) }"},{"path":[]},{"path":"/articles/vignette4.html","id":"r-package-gllvm","dir":"Articles","previous_headings":"Introduction to gllvm","what":"R package gllvm","title":"Introduction to gllvm Part 2: Species correlations","text":"R package gllvm fits Generalized linear latent variable models (GLLVM) multivariate data1. Developed J. Niku, W.Brooks, R. Herliansyah, F.K.C. Hui, S. Taskinen, D.. Warton, B. van der Veen. package available GitHub: https://github.com/JenniNiku/gllvm CRAN: https://CRAN.R-project.org/package=gllvm Package installation: gllvm package depends R packages TMB mvabund, try install first. GLLVMs computationally intensive fit due integral log-likelihood. gllvm package overcomes computational problems applying closed form approximations log-likelihood using automatic differentiation C++ accelerate computation times (TMB2). Estimation performed using either variational approximation (VA3), extended variational approximation method (EVA4) Laplace approximation (LA5) method implemented via R package TMB. VA method faster accurate LA, applicable distributions link functions. Using gllvm can fit GLLVM without covariates gives model-based ordination biplots GLLVM environmental /trait covariates studying factors explaining species abundance Fourth corner models latent variables studying environmental-trait interactions GLLVM without latent variables fits basic multivariate GLMs Additional tools: residuals, information criteria, confidence intervals, visualization.","code":"# From CRAN install.packages(gllvm) # OR # From GitHub using devtools package's function install_github devtools::install_github(\"JenniNiku/gllvm\")"},{"path":[]},{"path":"/articles/vignette4.html","id":"data-input","dir":"Articles","previous_headings":"Introduction to gllvm","what":"Data input","title":"Introduction to gllvm Part 2: Species correlations","text":"Main function gllvm package gllvm(), can used fit GLLVMs multivariate data important arguments listed following: y: matrix abundances X: matrix data.frame environmental variables TR: matrix data.frame trait variables family: distribution responses num.lv: number latent variables method: approximation used “VA” “LA” row.eff: type row effects n.init: number random starting points latent variables starting.val: starting value method","code":"gllvm(y = NULL, X = NULL, TR = NULL, family, num.lv = 2, formula = NULL, method = \"VA\", row.eff = FALSE, n.init=1, starting.val =\"res\", ...) library(gllvm) ## Loading required package: TMB ## ## Attaching package: 'gllvm' ## The following object is masked from 'package:stats': ## ## simulate"},{"path":"/articles/vignette4.html","id":"example-spiders","dir":"Articles","previous_headings":"Introduction to gllvm","what":"Example: Spiders","title":"Introduction to gllvm Part 2: Species correlations","text":"Abundances 12 hunting spider species measured count 28 sites. soil.dry: Soil dry mass bare.sand: cover bare sand fallen.leaves: cover fallen leaves/twigs moss: cover moss herb.layer: cover herb layer reflection: reflection soil surface cloudless sky","code":""},{"path":"/articles/vignette4.html","id":"data-fitting","dir":"Articles","previous_headings":"Introduction to gllvm","what":"Data fitting","title":"Introduction to gllvm Part 2: Species correlations","text":"Fit GLLVM environmental variables g(E(yij))=β0j+𝐱′𝛃j+𝐮′𝛉jg(E(y_{ij})) = \\beta_{0j} + \\boldsymbol{x}_i'\\boldsymbol{\\beta}_{j} + \\boldsymbol{u}_i'\\boldsymbol{\\theta}_j using gllvm:","code":"library(gllvm) data(\"spider\", package = \"mvabund\") fitx <- gllvm(y = spider$abund, X = spider$x, family = \"negative.binomial\", num.lv = 2) fitx ## Call: ## gllvm(y = spider$abund, X = spider$x, family = \"negative.binomial\", ## num.lv = 2) ## family: ## [1] \"negative.binomial\" ## method: ## [1] \"VA\" ## ## log-likelihood: -593.6749 ## Residual degrees of freedom: 217 ## AIC: 1425.35 ## AICc: 1557.572 ## BIC: 1879.586"},{"path":"/articles/vignette4.html","id":"model-selection","dir":"Articles","previous_headings":"Introduction to gllvm","what":"Model selection","title":"Introduction to gllvm Part 2: Species correlations","text":"Number latent variables necessarily clear beforehand goal primarily ordination, information criteria can used model selection. example, using Akaike information criterion:","code":"X=spider$x fitx1 <- gllvm(spider$abund, X, family = \"negative.binomial\", num.lv = 1) fitx2 <- gllvm(spider$abund, X, family = \"negative.binomial\", num.lv = 2) fitx3 <- gllvm(spider$abund, X, family = \"negative.binomial\", num.lv = 3) AIC(fitx1) ## [1] 1393.843 AIC(fitx2) ## [1] 1425.35 AIC(fitx3) ## [1] 1445.35"},{"path":"/articles/vignette4.html","id":"residual-analysis","dir":"Articles","previous_headings":"Introduction to gllvm","what":"Residual analysis","title":"Introduction to gllvm Part 2: Species correlations","text":"Residual analysis can used assess appropriateness fitted model (eg. terms mean-variance relationship). Can performed using plot():","code":"par(mfrow = c(1,2)) plot(fitx1, which = 1:2)"},{"path":"/articles/vignette4.html","id":"exercises","dir":"Articles","previous_headings":"","what":"Exercises","title":"Introduction to gllvm Part 2: Species correlations","text":"E1. Load spider data mvabund package take look dataset. Package mvabund loaded gllvm just load function data(). E2. Fit GLLVM two latent variables spider data suitable distribution. Data consists counts spider species. 2. Response variables spider data counts, Poisson, negative binomial zero inflated Poisson possible. However, ZIP implemented Laplace method, need noticed, models fitted different methods can compared information criteria. Let’s try just Poisson NB. NOTE results may exactly , initial values model fit slightly different, results may Based AIC, NB distribution suits better. residual analysis: NOTE package uses randomized quantile residuals time plot residuals, look little different. comparisons Laplace method well, using code , give conclusion NB distribution suits best: E3. Fit GLLVM environmental variables soil.dry reflection data suitable number latent variables. can extract two columns environmental variable matrix define model using formula. E4. Explore model fit. Find coefficients environmental covariates. Estimated parameters can obtained coef() function. Confidence intervals parameters obtained confint(). problems model fitting. model converges infinity local maxima: GLLVMs complex models starting values big role. Choosing different starting value method (see argument starting.val) use multiple runs pick one giving highest log-likelihood value using argument n.init. variation starting points can added jitter.var. results look answers: results may exactly answers, initial values model fit slightly different, results may also differ slightly.","code":"library(gllvm) #Package **mvabund** is loaded with **gllvm** so just load with a function `data()`. data(\"spider\") # more info: # ?spider # response matrix: spider$abund ## Alopacce Alopcune Alopfabr Arctlute Arctperi Auloalbi Pardlugu Pardmont ## [1,] 25 10 0 0 0 4 0 60 ## [2,] 0 2 0 0 0 30 1 1 ## [3,] 15 20 2 2 0 9 1 29 ## [4,] 2 6 0 1 0 24 1 7 ## [5,] 1 20 0 2 0 9 1 2 ## [6,] 0 6 0 6 0 6 0 11 ## [7,] 2 7 0 12 0 16 1 30 ## [8,] 0 11 0 0 0 7 55 2 ## [9,] 1 1 0 0 0 0 0 26 ## [10,] 3 0 1 0 0 0 0 22 ## [11,] 15 1 2 0 0 1 0 95 ## [12,] 16 13 0 0 0 0 0 96 ## [13,] 3 43 1 2 0 18 1 24 ## [14,] 0 2 0 1 0 4 3 14 ## [15,] 0 0 0 0 0 0 6 0 ## [16,] 0 3 0 0 0 0 6 0 ## [17,] 0 0 0 0 0 0 2 0 ## [18,] 0 1 0 0 0 0 5 0 ## [19,] 0 1 0 0 0 0 12 0 ## [20,] 0 2 0 0 0 0 13 0 ## [21,] 0 1 0 0 0 0 16 1 ## [22,] 7 0 16 0 4 0 0 2 ## [23,] 17 0 15 0 7 0 2 6 ## [24,] 11 0 20 0 5 0 0 3 ## [25,] 9 1 9 0 0 2 1 11 ## [26,] 3 0 6 0 18 0 0 0 ## [27,] 29 0 11 0 4 0 0 1 ## [28,] 15 0 14 0 1 0 0 6 ## Pardnigr Pardpull Trocterr Zoraspin ## [1,] 12 45 57 4 ## [2,] 15 37 65 9 ## [3,] 18 45 66 1 ## [4,] 29 94 86 25 ## [5,] 135 76 91 17 ## [6,] 27 24 63 34 ## [7,] 89 105 118 16 ## [8,] 2 1 30 3 ## [9,] 1 1 2 0 ## [10,] 0 0 1 0 ## [11,] 0 1 4 0 ## [12,] 1 8 13 0 ## [13,] 53 72 97 22 ## [14,] 15 72 94 32 ## [15,] 0 0 25 3 ## [16,] 2 0 28 4 ## [17,] 0 0 23 2 ## [18,] 0 0 25 0 ## [19,] 1 0 22 3 ## [20,] 0 0 22 2 ## [21,] 0 1 18 2 ## [22,] 0 0 1 0 ## [23,] 0 0 1 0 ## [24,] 0 0 0 0 ## [25,] 6 0 16 6 ## [26,] 0 0 1 0 ## [27,] 0 0 0 0 ## [28,] 0 0 2 0 # Environmental variables spider$x ## soil.dry bare.sand fallen.leaves moss herb.layer reflection ## 1 2.3321 0.0000 0.0000 3.0445 4.4543 3.9120 ## 2 3.0493 0.0000 1.7918 1.0986 4.5643 1.6094 ## 3 2.5572 0.0000 0.0000 2.3979 4.6052 3.6889 ## 4 2.6741 0.0000 0.0000 2.3979 4.6151 2.9957 ## 5 3.0155 0.0000 0.0000 0.0000 4.6151 2.3026 ## 6 3.3810 2.3979 3.4340 2.3979 3.4340 0.6931 ## 7 3.1781 0.0000 0.0000 0.6931 4.6151 2.3026 ## 8 2.6247 0.0000 4.2627 1.0986 3.4340 0.6931 ## 9 2.4849 0.0000 0.0000 4.3307 3.2581 3.4012 ## 10 2.1972 3.9318 0.0000 3.4340 3.0445 3.6889 ## 11 2.2192 0.0000 0.0000 4.1109 3.7136 3.6889 ## 12 2.2925 0.0000 0.0000 3.8286 4.0254 3.6889 ## 13 3.5175 1.7918 1.7918 0.6931 4.5109 3.4012 ## 14 3.0865 0.0000 0.0000 1.7918 4.5643 1.0986 ## 15 3.2696 0.0000 4.3944 0.6931 3.0445 0.6931 ## 16 3.0301 0.0000 4.6052 0.6931 0.6931 0.0000 ## 17 3.3322 0.0000 4.4543 0.6931 3.0445 1.0986 ## 18 3.1224 0.0000 4.3944 0.0000 3.0445 1.0986 ## 19 2.9232 0.0000 4.5109 1.6094 1.6094 0.0000 ## 20 3.1091 0.0000 4.5951 0.6931 0.6931 0.0000 ## 21 2.9755 0.0000 4.5643 0.6931 1.7918 0.0000 ## 22 1.2528 3.2581 0.0000 4.3307 0.6931 3.9120 ## 23 1.1939 3.0445 0.0000 4.0254 3.2581 4.0943 ## 24 1.6487 3.2581 0.0000 4.0254 3.0445 4.0073 ## 25 1.8245 3.5835 0.0000 1.0986 4.1109 2.3026 ## 26 0.9933 4.5109 0.0000 1.7918 1.7918 4.3820 ## 27 0.9555 2.3979 0.0000 3.8286 3.4340 3.6889 ## 28 0.9555 3.4340 0.0000 3.7136 3.4340 3.6889 # Plot data using boxplot: boxplot(spider$abund) # Take a look at the function documentation for help: ?gllvm # Fit a GLLVM to data fitp <- gllvm(y=spider$abund, family = poisson(), num.lv = 2) fitp ## Call: ## gllvm(y = spider$abund, family = poisson(), num.lv = 2) ## family: ## [1] \"poisson\" ## method: ## [1] \"VA\" ## ## log-likelihood: -845.8277 ## Residual degrees of freedom: 301 ## AIC: 1761.655 ## AICc: 1770.055 ## BIC: 1895.254 fitnb <- gllvm(y=spider$abund, family = \"negative.binomial\", num.lv = 2) fitnb ## Call: ## gllvm(y = spider$abund, family = \"negative.binomial\", num.lv = 2) ## family: ## [1] \"negative.binomial\" ## method: ## [1] \"VA\" ## ## log-likelihood: -733.6807 ## Residual degrees of freedom: 289 ## AIC: 1561.361 ## AICc: 1577.028 ## BIC: 1740.766 # Fit a GLLVM to data par(mfrow = c(1,2)) plot(fitp, which = 1:2) plot(fitnb, which = 1:2) fitLAp <- gllvm(y=spider$abund, family = poisson(), method = \"LA\", num.lv = 2) fitLAnb <- gllvm(y=spider$abund, family = \"negative.binomial\", method = \"LA\", num.lv = 2) fitLAzip <- gllvm(y=spider$abund, family = \"ZIP\", method = \"LA\", num.lv = 2) AIC(fitLAp) AIC(fitLAnb) AIC(fitLAzip) # `soil.dry` and `reflection` are in columns 1 and 6 X <- spider$x[,c(1,6)] fitx1 <- gllvm(spider$abund, X, family = \"negative.binomial\", num.lv = 1) fitx2 <- gllvm(spider$abund, X, family = \"negative.binomial\", num.lv = 2) fitx3 <- gllvm(spider$abund, X, family = \"negative.binomial\", num.lv = 3) AIC(fitx1) ## [1] 1449.428 AIC(fitx2) ## [1] 1486.451 AIC(fitx3) ## [1] 1491.428 # Or alternatively using formula: fitx1 <- gllvm(spider$abund, spider$x, formula = ~soil.dry + reflection, family = \"negative.binomial\", num.lv = 1) fitx1 ## Call: ## gllvm(y = spider$abund, X = spider$x, formula = ~soil.dry + reflection, ## family = \"negative.binomial\", num.lv = 1) ## family: ## [1] \"negative.binomial\" ## method: ## [1] \"VA\" ## ## log-likelihood: -664.7139 ## Residual degrees of freedom: 276 ## AIC: 1449.428 ## AICc: 1476.046 ## BIC: 1678.454 coef(fitx1) ## $Species.scores ## LV1 ## Alopacce 1.000000e+00 ## Alopcune 1.286564e+00 ## Alopfabr 4.411474e-01 ## Arctlute 2.261271e+00 ## Arctperi 6.558817e-06 ## Auloalbi 2.499060e+00 ## Pardlugu 3.973132e-01 ## Pardmont 9.557377e-01 ## Pardnigr 2.565877e+00 ## Pardpull 2.528257e+00 ## Trocterr 9.659180e-01 ## Zoraspin 1.751833e+00 ## ## $sigma.lv ## LV1 ## 0.8536904 ## ## $Intercept ## Alopacce Alopcune Alopfabr Arctlute Arctperi Auloalbi Pardlugu ## -3.010735 -7.407244 2.077617 -21.478661 -7.920069 -12.969707 4.569019 ## Pardmont Pardnigr Pardpull Trocterr Zoraspin ## -6.088991 -14.644413 -16.457915 -3.712424 -9.219694 ## ## $Xcoef ## soil.dry reflection ## Alopacce -0.3438061 1.5945287 ## Alopcune 2.6112725 0.6246891 ## Alopfabr -1.8668475 0.7468388 ## Arctlute 6.3227353 0.8208664 ## Arctperi -1.7566353 2.8892032 ## Auloalbi 4.1826104 0.6832891 ## Pardlugu -0.5456458 -1.2606137 ## Pardmont 1.7920398 1.4688279 ## Pardnigr 4.9045138 0.8601683 ## Pardpull 5.3505939 1.2824173 ## Trocterr 2.3361048 0.2234954 ## Zoraspin 3.5570334 0.1199447 ## ## $inv.phi ## Alopacce Alopcune Alopfabr Arctlute Arctperi Auloalbi ## 9.375940e+00 1.699565e+00 1.577636e+00 1.063992e+00 4.391997e+05 1.511603e+00 ## Pardlugu Pardmont Pardnigr Pardpull Trocterr Zoraspin ## 1.543843e+00 9.784953e-01 2.518153e+00 2.339355e+00 1.470886e+01 3.624948e+00 ## ## $phi ## Alopacce Alopcune Alopfabr Arctlute Arctperi Auloalbi ## 1.066560e-01 5.883857e-01 6.338598e-01 9.398569e-01 2.276869e-06 6.615492e-01 ## Pardlugu Pardmont Pardnigr Pardpull Trocterr Zoraspin ## 6.477341e-01 1.021977e+00 3.971164e-01 4.274683e-01 6.798622e-02 2.758661e-01 # Coefficients for covariates are named as `Xcoef` # Confidence intervals for these coefficients: confint(fitx1, parm = \"Xcoef\") ## cilow ciup ## Xcoef1 -1.02657582 0.3389637 ## Xcoef2 1.34798979 3.8745552 ## Xcoef3 -2.85510118 -0.8785939 ## Xcoef4 2.24760383 10.3978668 ## Xcoef5 -2.87603054 -0.6372400 ## Xcoef6 1.79232232 6.5728985 ## Xcoef7 -1.64615225 0.5548606 ## Xcoef8 0.73330963 2.8507700 ## Xcoef9 2.78645009 7.0225774 ## Xcoef10 3.14444174 7.5567460 ## Xcoef11 1.64647443 3.0257352 ## Xcoef12 1.97813993 5.1359268 ## Xcoef13 0.95846116 2.2305962 ## Xcoef14 0.13820904 1.1111691 ## Xcoef15 -0.24255716 1.7362347 ## Xcoef16 -0.34239253 1.9841252 ## Xcoef17 1.63797487 4.1404316 ## Xcoef18 -0.18415487 1.5507331 ## Xcoef19 -1.73569020 -0.7855372 ## Xcoef20 0.89971165 2.0379442 ## Xcoef21 0.01749653 1.7028400 ## Xcoef22 0.40749684 2.1573378 ## Xcoef23 -0.08588201 0.5328728 ## Xcoef24 -0.46477569 0.7046652 # The first 12 intervals are for soil.dry and next 12 for reflection"},{"path":[]},{"path":"/articles/vignette4.html","id":"species-correlations","dir":"Articles","previous_headings":"Studying species correlations","what":"Species correlations","title":"Introduction to gllvm Part 2: Species correlations","text":"Latent variables induce correlation across response variables, provide means estimating correlation patterns across species, extent can explained environmental variables. Information correlation stored LV loadings 𝛉j\\boldsymbol\\theta_j, residual covariance matrix, storing information species co-occurrence explained environmental variables, can calculated 𝚺=𝚪𝚪⊤\\boldsymbol\\Sigma=\\boldsymbol\\Gamma \\boldsymbol\\Gamma^\\top, 𝚪=[𝛉1…𝛉m]′\\boldsymbol\\Gamma = [\\boldsymbol\\theta_1\\dots\\boldsymbol\\theta_m]'. getResidualCor function can used estimate correlation matrix linear predictor across species. Let’s consider first correlation matrix based model without predictors: g(E(yij))=β0j+𝐮′𝛉jg(E(y_{ij})) = \\beta_{0j} + \\boldsymbol{u}_i'\\boldsymbol{\\theta}_j correlation matrix based model take account environmental conditions driving species abundances sites, reflects observed.","code":"fitnb <- gllvm(spider$abund, family = \"negative.binomial\", num.lv = 2)"},{"path":"/articles/vignette4.html","id":"visualizing-species-correlations","dir":"Articles","previous_headings":"Studying species correlations","what":"Visualizing species correlations","title":"Introduction to gllvm Part 2: Species correlations","text":"residual correlations can visualized either using biplot, shows species ordination, visualizing actual correlation matrix using, eg., corrplot package. biplot can produced using function ordiplot() argument biplot = TRUE: Correlations can visualized precisely using corrplot() function: correlations can also visualized species ordination biplot:","code":"fitnb <- gllvm(spider$abund, family = \"negative.binomial\", num.lv = 2) ordiplot(fitnb, biplot = TRUE) abline(h = 0, v = 0, lty=2) fitnb <- gllvm(spider$abund, family = \"negative.binomial\", num.lv = 2) cr <- getResidualCor(fitnb) library(corrplot); ## corrplot 0.94 loaded corrplot(cr, diag = FALSE, type = \"lower\", method = \"square\", tl.srt = 25) ordiplot(fitnb, biplot = TRUE) abline(h = 0, v = 0, lty=2)"},{"path":[]},{"path":"/articles/vignette4.html","id":"studying-effects-of-environmental-variables","dir":"Articles","previous_headings":"Studying effects of covariates","what":"Studying effects of environmental variables","title":"Introduction to gllvm Part 2: Species correlations","text":"effects environmental variables species can studied including environmental variables 𝐱\\boldsymbol{x}_i GLLVM: g(E(yij))=β0j+𝐱′𝛃j+𝐮′𝛉jg(E(y_{ij})) = \\beta_{0j} + \\boldsymbol{x}_i'\\boldsymbol{\\beta}_{j} + \\boldsymbol{u}_i'\\boldsymbol{\\theta}_j. 𝛃j\\boldsymbol{\\beta}_{j} vector species specific coefficients environmental variables. Next consider example two environmental variables, soil.dry (soil dry mass) reflection (reflection soil surface cloudless sky), shows different environmental gradients ordination:","code":"rbPal <- c(\"#00FA9A\", \"#00EC9F\", \"#00DFA4\", \"#00D2A9\", \"#00C5AF\", \"#00B8B4\", \"#00ABB9\", \"#009DBF\", \"#0090C4\", \"#0083C9\", \"#0076CF\", \"#0069D4\", \"#005CD9\", \"#004EDF\", \"#0041E4\", \"#0034E9\", \"#0027EF\", \"#001AF4\", \"#000DF9\", \"#0000FF\") X <- spider$x[,c(1,6)] par(mfrow = c(1,2), mar=c(4,4,2,2)) for(i in 1:ncol(X)){ Col <- rbPal[as.numeric(cut(X[,i], breaks = 20))] ordiplot(fitnb, symbols = T, s.colors = Col, main = colnames(X)[i], biplot = TRUE) abline(h=0,v=0, lty=2) }"},{"path":"/articles/vignette4.html","id":"coefficient-plot","dir":"Articles","previous_headings":"Studying effects of covariates","what":"Coefficient plot","title":"Introduction to gllvm Part 2: Species correlations","text":"coefplot() plots point estimates species specific environmental coefficients 𝛃j\\boldsymbol{\\beta}_{j} confidence intervals. biplots environmental gradients indicated , example, species named Arctperi prefers sites low amount dry soil mass high amount reflection sky, similar effects can seen coefficients plotted confidence intervals.","code":"fitx1 <- gllvm(spider$abund, X, family = \"negative.binomial\", num.lv = 1) coefplot(fitx1, mfrow = c(1,2), cex.ylab = 0.8)"},{"path":"/articles/vignette4.html","id":"correlation-matrix","dir":"Articles","previous_headings":"Studying effects of covariates","what":"Correlation matrix","title":"Introduction to gllvm Part 2: Species correlations","text":"Correlation matrix model predictors shows correlation patterns species effect predictors taken account. effects covariates dry.soil reflection accounted, negative correlation species seem exist anymore, indicating negative correlations explained different environmental conditions sites species respond , rather direct species interactions.","code":"crx <- getResidualCor(fitx1) corrplot(crx, diag = FALSE, type = \"lower\", method = \"square\", tl.srt = 25)"},{"path":"/articles/vignette4.html","id":"fourth-corner-models","dir":"Articles","previous_headings":"Studying effects of covariates","what":"Fourth corner models","title":"Introduction to gllvm Part 2: Species correlations","text":"species trait variables 𝐭j\\boldsymbol{t}_j, measuring eg. species behaviour physical appearance, available, fourth corner models considered: g(E(yij))=β0j+𝐱′𝛃j+𝐱′𝐁𝐭j+𝐮′𝛉jg(E(y_{ij})) = \\beta_{0j} + \\boldsymbol{x}_i'\\boldsymbol{\\beta}_{j} + \\boldsymbol{x}_i'\\boldsymbol{B}_{}\\boldsymbol{t}_j + \\boldsymbol{u}_i'\\boldsymbol{\\theta}_j models can also fitted gllvm() function including matrix traits argument TR. Examples can found gllvm package’s vignettes.","code":""},{"path":[]},{"path":"/articles/vignette6.html","id":"constrained-ordination","dir":"Articles","previous_headings":"","what":"Constrained ordination","title":"Ordination with predictors","text":"Let us first consider constrained ordination actually . first shortly explaining reduced rank regression (RRR). First, consider model: ηij=β0j+𝐗⊤𝛃j. \\eta_{ij} = \\beta_{0j} + \\boldsymbol{X}_i^\\top\\boldsymbol{\\beta}_j. , 𝛃j\\boldsymbol{\\beta}_j slopes represent species responses pp predictor variables site ii, 𝐗\\boldsymbol{X}_i. gllvm R-package, code fit model : set number unconstrained latent variables zero, defaults two. “rank” 𝐗⊤𝛃j\\boldsymbol{X}_i^\\top\\boldsymbol{\\beta}_j pp. Constrained ordination introduces constraint species slopes matrix, namely number independent columns 𝛃j\\boldsymbol{\\beta}_j (column independent can formulated linear combination another). reduced ranks community ecology referred ecological gradients, can also understood ordination axes latent variables. define latent variable 𝐳=𝐁⊤𝐗,lv+𝛜\\boldsymbol{z}_i = \\boldsymbol{B}^\\top\\boldsymbol{X}_{,lv} + \\boldsymbol{\\epsilon}_i, p×dp\\times d matrix slopes, can understand constrained ordination regression latent variable ecological gradient, except residual 𝛜\\boldsymbol{\\epsilon}_i omitted, .e. assume ecological gradient can represented perfectly predictor variables, model becomes: ηij=β0j+𝐗⊤𝐁𝛄j.\\begin{equation} \\eta_{ij} = \\beta_{0j} + \\boldsymbol{X}_i^\\top\\boldsymbol{B}\\boldsymbol{\\gamma}_j. \\end{equation} 𝐁\\boldsymbol{B} d×Kd \\times K matrix slopes per predictor latent variable, 𝛄j\\boldsymbol{\\gamma}_j set slopes species per latent variable. parametrization practically useful, drastically reduces number parameters compared multivariate regression. rank, number latent variables ordination axes, can determined cross-validation, alternatively using information criteria. code gllvm R-package, arbitrary choice two latent variables, : predictor slopes (called canonical coefficients e.g., CCA RDA) available RRGLM$params$LvXcoef can retrieved coef(RRGLM) summary(RRGLM): Note use rotate argument. ensures solution canonical coefficients rotated solution displayed ordiplot (rotate argument default set TRUE). summary can useful determining drives vertical horizontal shifts location species sites ordination diagram (probably much ). Unlike canonical coefficients, reconstructed species-specific effects invariant rotation, always good practice additionally study exhaustive inference; fit constrained ordination make use additional optimization routines R-packages. necessary, without constraint predictor slopes orthogonal model unidentifiable. might thus happen, fitting model warning pops-along lines predictor slopes orthogonal, case re-fit model different optimization routine (optimizer='alabama') starting values (starting.values='zero') order get constraints canonical coefficients better converge. Note: general improve convergence, good practice center scale predictor variables.","code":"MGLM <- gllvm(Y, X = X, family = \"poisson\", num.lv = 0) RRGLM <- gllvm(Y, X = X, family = \"poisson\", num.RR = 2) summary(RRGLM, rotate = TRUE) ## ## Call: ## gllvm(y = Y, X = X, family = \"poisson\", num.RR = 6, starting.val = \"zero\", ## reltol.c = 1e-15) ## ## Family: poisson ## ## AIC: 1841.216 AICc: 1898.108 BIC: 2161.853 LL: -836.6 df: 84 ## ## Informed LVs: 0 ## Constrained LVs: 6 ## Unconstrained LVs: 0 ## ## Formula: ~ 1 ## LV formula: ~soil.dry + bare.sand + fallen.leaves + moss + herb.layer + reflection ## ## Coefficients LV predictors: ## Estimate Std. Error z value Pr(>|z|) ## soil.dry(CLV1) 0.739241 0.545770 1.354 0.17558 ## bare.sand(CLV1) -1.504227 0.738137 -2.038 0.04156 * ## fallen.leaves(CLV1) 0.249424 1.567803 0.159 0.87360 ## moss(CLV1) -0.406028 1.325428 -0.306 0.75935 ## herb.layer(CLV1) 1.983275 1.046501 1.895 0.05807 . ## reflection(CLV1) -2.069525 0.941468 -2.198 0.02794 * ## soil.dry(CLV2) -0.524884 0.325749 -1.611 0.10711 ## bare.sand(CLV2) -0.761665 0.395216 -1.927 0.05395 . ## fallen.leaves(CLV2) -0.877375 0.969414 -0.905 0.36543 ## moss(CLV2) 0.130217 0.659360 0.197 0.84344 ## herb.layer(CLV2) 1.793405 0.584467 3.068 0.00215 ** ## reflection(CLV2) 0.315377 0.600692 0.525 0.59957 ## soil.dry(CLV3) 0.750252 0.988362 0.759 0.44780 ## bare.sand(CLV3) -0.897121 0.928729 -0.966 0.33406 ## fallen.leaves(CLV3) -1.145885 1.649139 -0.695 0.48716 ## moss(CLV3) -0.342914 0.768733 -0.446 0.65554 ## herb.layer(CLV3) -1.345636 1.047277 -1.285 0.19883 ## reflection(CLV3) 0.820609 0.674645 1.216 0.22385 ## soil.dry(CLV4) -0.997668 0.514773 -1.938 0.05261 . ## bare.sand(CLV4) -0.522736 0.432766 -1.208 0.22709 ## fallen.leaves(CLV4) -0.606122 1.004898 -0.603 0.54640 ## moss(CLV4) 0.150650 0.698787 0.216 0.82931 ## herb.layer(CLV4) 0.026434 0.669088 0.040 0.96849 ## reflection(CLV4) -1.211241 0.496380 -2.440 0.01468 * ## soil.dry(CLV5) 0.592508 0.230516 2.570 0.01016 * ## bare.sand(CLV5) 0.430542 0.196589 2.190 0.02852 * ## fallen.leaves(CLV5) -0.814613 0.341699 -2.384 0.01713 * ## moss(CLV5) 0.289127 0.182575 1.584 0.11328 ## herb.layer(CLV5) -0.160839 0.253159 -0.635 0.52521 ## reflection(CLV5) -0.726094 0.149143 -4.868 1.12e-06 *** ## soil.dry(CLV6) -0.031456 0.020354 -1.545 0.12224 ## bare.sand(CLV6) 0.004485 0.014587 0.307 0.75850 ## fallen.leaves(CLV6) -0.057097 0.033731 -1.693 0.09051 . ## moss(CLV6) -0.086429 0.020041 -4.313 1.61e-05 *** ## herb.layer(CLV6) -0.015565 0.019434 -0.801 0.42316 ## reflection(CLV6) -0.009270 0.014017 -0.661 0.50840 ## --- ## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 coefplot(RRGLM, cex.ylab = 0.5, mar = c(4,2,2,1))"},{"path":"/articles/vignette6.html","id":"random-slopes","dir":"Articles","previous_headings":"Constrained ordination","what":"Random slopes","title":"Ordination with predictors","text":"Generally, constrained ordination can difficulty estimating predictor slopes, example due co-linearity predictors. One way solve , using regularisation. Regularisation adds penalty objective function, shrink parameter estimates closer zero unimportant. convenient way add penalty, formulating random slopes model. gllvm done following syntax: randomB argument additionally used specify variances random slopes unique per latent variable (.e. assume random slopes per predictor come distribution), per predictor (.e. assume random slopes per latent variable come distribution). Either setting benefits, first implies covariance species responses predictor, whereas latter can serve shrink effects single predictor near zero. general, potential stabilize model fitting reduce variance parameter estimates. Finally, slope categorical predictor intercept, formulation also allows include random intercepts ordination. plot species-specific effects can constructed randomCoefplot function: using random-effects formulation, summary table confidence intervals available canonical coefficients. possible construct summary table prediction random-effects association prediction errors follows: range potential use cases random canonical coefficients, pragmatically, inducing shrinkage predictor effects can result better “behaved” (fewer outliers) ordination plots.","code":"RRGLMb1 <- gllvm(Y, X = X, family=\"poisson\", num.RR = 2, randomB = \"LV\") RRGLMb1 <- gllvm(Y, X = X, family=\"poisson\", num.RR = 2, randomB = \"P\") randomCoefplot(RRGLMb1, cex.ylab = 0.5, mar = c(4,2,2,1)) # Get coefficients coefs<-data.frame(coef(RRGLMb1,\"LvXcoef\")) coefs$Predictor <- row.names(coefs) # Wide to long coefsTab<-reshape(coefs, direction = \"long\", varying = list(colnames(coefs)[1:(RRGLMb1$num.lv.c+RRGLMb1$num.RR)]), v.names = \"Estimate\", times=colnames(coefs)[1:(RRGLMb1$num.lv.c+RRGLMb1$num.RR)], timevar = \"LV\", new.row.names = NULL) # Add prediction errors coefsTab <- cbind(coefsTab,PE=c(getPredictErr(RRGLMb1)$b.lv)) row.names(coefsTab)<-1:nrow(coefsTab) coefsTab[,-4] ## Predictor LV Estimate PE ## 1 soil.dry CLV1 -0.080723064 0.07814185 ## 2 bare.sand CLV1 0.001068039 0.06094532 ## 3 fallen.leaves CLV1 -0.297420665 0.10174450 ## 4 moss CLV1 0.809784152 0.09236949 ## 5 herb.layer CLV1 0.447862820 0.10908394 ## 6 reflection CLV1 0.836470551 0.13821746 ## 7 soil.dry CLV2 0.945275422 0.12950352 ## 8 bare.sand CLV2 -0.075514139 0.04851537 ## 9 fallen.leaves CLV2 -0.212377414 0.23493650 ## 10 moss CLV2 -0.386609004 0.64863215 ## 11 herb.layer CLV2 0.547191839 0.37130075 ## 12 reflection CLV2 -0.413646154 0.69906377"},{"path":"/articles/vignette6.html","id":"concurrent-ordination","dir":"Articles","previous_headings":"","what":"Concurrent ordination","title":"Ordination with predictors","text":"Unlike R-packages, can now formulate ordination additional random-effects included act like LV-level residuals (let’s face , often 100% confident measured relevant predictors?), can assume ecological gradient represented unmeasured measured predictors (former residual can understood). code : num.lv.c argument used specify number latent variables concurrent ordination (.e. latent variables informed predictors constrained), previously num.RR argument used specify number constrained latent variables. number constrained, informed, unconstrained latent variables can freely combined using num.RR, num.lv.c num.lv arguments (careful overparameterize overfit model!).","code":"CGLLVM <- gllvm(Y, X = X, family = \"poisson\", num.lv.c = 2)"},{"path":"/articles/vignette6.html","id":"partial-constrained-or-concurrent-ordination","dir":"Articles","previous_headings":"","what":"Partial constrained or concurrent ordination","title":"Ordination with predictors","text":"also possible combine constrained concurrent ordination full-rank predictor effects. combine concurrent ordination full-rank predictor effects need additionally use formula interface: lv.formula formula ordination predictors (concurrent constrained), formula formula tells model predictors partialled ordination. Note, two formula arguments include predictor variables, predictor variables provided X argument. essence, performs partial concurrent ordination, num.RR partial constrained ordination. effects partialled ordination (ordination conditioned ) can also treated random effects, sometimes preferable. Partialled means effects taken ordination: effect soil.dry longer visible ordination, arrow drawn effect. possible inspect effect species coefplot function, covariate effects model, inside ordination outside. Information criteria can used determine correct number latent variables, though demonstrate . Results model can examined details using summary(\\cdot) function: Finally, can use tools R-package inference, creating ordination diagram arrows: Arrows show less intense red (pink), predictors confidence interval slope includes zero, least one two plotted dimensions. various arguments included function improve readability figure, look documentation. arrows always proportional size plot, predictor largest slope estimate largest arrow. predictors effect, slopes 𝐁\\boldsymbol{B} close zero. also possible use quadratic flag fit quadratic response model though demonstrate , partition variance per latent variable specific predictors.","code":"PCGLLVM <- gllvm(Y, X = X, family = \"poisson\", num.lv.c = 2, lv.formula = ~bare.sand + fallen.leaves + moss+herb.layer + reflection, formula = ~soil.dry) summary(CGLLVM) ## ## Call: ## gllvm(y = Y, X = X, num.lv.c = 2, family = \"poisson\", starting.val = \"zero\") ## ## Family: poisson ## ## AIC: 1665.321 AICc: 1680.282 BIC: 1840.908 LL: -786.7 df: 46 ## ## Informed LVs: 2 ## Constrained LVs: 0 ## Unconstrained LVs: 0 ## Residual standard deviation of LVs: 0.6577 0.5729 ## ## Formula: ~ 1 ## LV formula: ~soil.dry + bare.sand + fallen.leaves + moss + herb.layer + reflection ## ## Coefficients LV predictors: ## Estimate Std. Error z value Pr(>|z|) ## soil.dry(CLV1) -0.98389 0.33529 -2.934 0.003342 ** ## bare.sand(CLV1) 0.47349 0.23214 2.040 0.041380 * ## fallen.leaves(CLV1) 0.33758 0.39012 0.865 0.386866 ## moss(CLV1) 0.67915 0.31526 2.154 0.031224 * ## herb.layer(CLV1) -0.40845 0.22679 -1.801 0.071706 . ## reflection(CLV1) 0.83825 0.37495 2.236 0.025376 * ## soil.dry(CLV2) 0.93546 0.26428 3.540 0.000401 *** ## bare.sand(CLV2) -0.02443 0.19079 -0.128 0.898113 ## fallen.leaves(CLV2) -0.84909 0.31374 -2.706 0.006803 ** ## moss(CLV2) 0.51290 0.23897 2.146 0.031851 * ## herb.layer(CLV2) 0.42712 0.19684 2.170 0.030013 * ## reflection(CLV2) 0.17366 0.31602 0.550 0.582646 ## --- ## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 ordiplot(CGLLVM, biplot = TRUE)"},{"path":[]},{"path":"/articles/vignette7.html","id":"phylogenetically-structured-environmental-responses","dir":"Articles","previous_headings":"","what":"Phylogenetically structured environmental responses","title":"Phylogenetic random effects","text":"vignette demonstrate fit models incorporate phylogenetic information random effects. , make use adjusted version familiar lme4-formula interface (Bates et al. 2015). , use data Abrego et al. (2015). includes information 215 fungal species 1666 European beech logs, analyzed original authors using similar model. start loading data: included version package contain available environmental covariates, used original analysis. includes diameter breast height (DBH.CM), decay stage (AVERDP), connectivity surrounding forest (CONNECT10), annual temperature range, annual precipitation, logarithm reserve’s area. can think model two covariance matrices: one correlation covariate effects, another incorporates correlation species due phylogeny. former specified via formula interface, form latter (less) fixed present.","code":"library(gllvm) data(fungi) Y <- fungi$Y X <- fungi$X tree <- fungi$tree # the tree colMat <- fungi$C # e.g., from ape::vcv(tree) dist <- fungi$dist # e.g., from ape::cophenetic.phylo(tree) # Scale the predictors covs <- c(\"DBH.CM\",\"AVERDP\",\"CONNECT10\",\"TEMPR\",\"PRECIP\",\"log.AREA\") X[,covs] <- scale(X[, covs])"},{"path":"/articles/vignette7.html","id":"species-ordering","dir":"Articles","previous_headings":"Phylogenetically structured environmental responses","what":"Species ordering","title":"Phylogenetic random effects","text":"important note error NNGP approximation used fitting models depends somewhat order species data (Guinness 2018). software can minimize number VA parameters necessary utilizing block structure phylogeny (.e., full independence due top splits), ideal ordering often provided tip labels phylogeny (make sure arbitrarily order response data). VA method gllvm package retains block structure phylogenetic covariance matrix. necessarily optimal terms approximation error NNGP. less ideal ordering requires larger number nearest neighbours accurate approximation. cases ordering phylogenetic tree seems function poorly, provide function (note, exported) package help evaluate error due certain species ordering findOrder(). calculates Frobenius norm product sparse approximation inverse phylogenetic covariance matrix phylogenetic covariance matrix, minus identity matrix, given species order number nearest neighbours. returns error, approximation, ordering (retains block structure withinBlock = TRUE, default). short: lower error means better approximation (note trade-). code demonstrate : red lines indicate 10, 15, 20 neighbours. Clearly, ordering species sum squared distances, first eigenvector phylogenetic covariance matrix, gives best approximation (.e., accurate least neighbouts) dataset. Genneraly, serves demonstrate species order matter approximation, better order may available. plot can see error reduces quickly towards 10-15 neighbours, levels 50 neighbours. plotted curve wit computation time, probably exhibit opposite displayed pattern.","code":"# order of species in phylogeny tips # with a plot of error vs. nearest neighbours err1 <- NULL for(i in 1:215){ approx1 <- gllvm:::findOrder(covMat = colMat, distMat = dist, nn = i) err1 <- c(err1, approx1$err) } plot(y=err1,x=1:215,type=\"l\", xlab = \"Neighbours\", ylab = \"Approximation error\") abline(v = 10, col = \"red\", lty = \"dotted\") abline(v = 15, col = \"red\", lty = \"dashed\") abline(v = 20, col = \"red\") # order species alphabetically err2 <- NULL for(i in 1:215){ approx2 <- gllvm:::findOrder(covMat = colMat, distMat = dist, nn = i, order = order(colnames(Y))) err2 <- c(err2, approx2$err) } lines(y=err2,x=1:215,col=\"blue\") # order species by sum of squared distances err3 <- NULL for(i in 1:215){ approx3 <- gllvm:::findOrder(covMat = colMat, distMat = dist, nn = i, order = order(apply(dist,2,function(x)sum(x^2)),decreasing=TRUE)) err3 <- c(err3, approx3$err) } lines(y=err3,x=1:215,col=\"forestgreen\") # order species by distance to the root allDists <- ape::dist.nodes(tree) err4 <- NULL for(i in 1:215){ approx4 <- gllvm:::findOrder(covMat = colMat, distMat = dist, nn = i, order = as.integer(names(sort(allDists[1:length(tree$tip.label), nrow(allDists)],decreasing = TRUE)))) err4 <- c(err4, approx4$err) } lines(y=err4,x=1:215,col=\"pink\") # order by internal order of edges order <- ape::reorder.phylo(tree, order = \"postorder\", index.only=TRUE) err5 <- NULL for(i in 1:215){ approx5 <- gllvm:::findOrder(covMat = colMat, distMat = dist, nn = i, order = order[order<=length(tree$tip.label)]) err5 <- c(err5, approx5$err) } lines(y=err5,x=1:215,col=\"purple\") order <- ape::reorder.phylo(tree, order = \"pruningwise\", index.only=TRUE) err6 <- NULL for(i in 1:215){ approx6 <- gllvm:::findOrder(covMat = colMat, distMat = dist, nn = i, order = order[order<=length(tree$tip.label)]) err6 <- c(err6, approx6$err) } lines(y=err6,x=1:215,col=\"grey\") # by first eigenvector err7 <- NULL order=order(eigen(colMat)$vec[,1],decreasing=TRUE) for(i in 1:215){ approx7 <- gllvm:::findOrder(covMat = colMat, distMat = dist, nn = i, order = order) err7 <- c(err7, approx7$err) } lines(y=err7,x=1:215,col=\"green\") legend(\"topright\", legend=c(\"Tips\",\"Alphabetical\", \"Sum of squared distances\", \"Distance to root\", \"Edges 1\", \"Edges 2\", \"First eigenvector\"), col=c(\"black\",\"blue\", \"forestgreen\",\"pink\",\"purple\",\"grey\",\"green\"),lty = rep(\"solid\",7))"},{"path":"/articles/vignette7.html","id":"fit-the-model","dir":"Articles","previous_headings":"Phylogenetically structured environmental responses","what":"Fit the model","title":"Phylogenetic random effects","text":"Let’s walk specified arguments. first line enables parallel computation, speed model fitting. Note intercept term included random effects, can excluded incorporating zero formula term. Correlations included covariates inside brackets, uncorrelated effects including separately bracketed terms. specify num.lv = 0 now, although just well include latent variables (e.g., fit model phylogenetically structured random intercepts (un)constrained ordination), beta0comm single (fixed) intercept whole community (species-specific intercepts enter via random effects). sd.errors convenience set false, can take (much) longer time calculate standard errors fit model, really calculate standard errors need (e.g., visualization). gllvm::se.gllvm function can post-hoc calculate standard errors, need refit model. studyDesign matrix specified additionally incorporated random intercepts nested study design. formula row.eff specify random intercept structure. colMat term pass phylogenetic information model, usually list length two, one argument called dist covariance matrix tree. Note two matrices need column names Y. nn.colMat number nearest neighbours consider species tree, fixed 10 default. Smaller numbers usually result faster fitting model, one potentially less accurate. van der Veen O’Hara (2024) showed 10-15 neighbours usually good choice, although fewer/also still lead accurate estimates phylogenetic signal, can quite problem dependent. colMat.rho.struct two options, single fitting model phylogenetic signal parameter covariates (default) term fitting model phylogenetic signal parameter per covariate. Finally, last line changes optimisation method one seems usually well model type, changes starting values random effect (needed fit model succesfully). model fitting, random effect estimates can found model1$params$Br, prediction errors can extracted gllvm::getPredictErr. requires standard errors, let’s calculate thosefirst: code visualize model results (van der Veen O’Hara (2024)): random effects prediction interval including zero crossed plot. getResidualCov getResidualCor functions extract residual covariance correlation matrix, respectively, visualizing species associations. randomCoefPlot function constructs caterpillar plots species deviations community mean responses, can extracted via summary method, found via coef model1$params$B. Arguments control VA approximation Ab.struct Ab.struct.rank, details see van der Veen O’Hara (2024). NOTE: Use Ab.struct = \"CL1\" Ab.struct=\"CL2\" parallel using TMB::openmp(.., autopar=TRUE). Without TMB’s “automatic” parallelization feature, memory use excessively computer probably run memory (moderately large number sites species) R session crash. Finally, can look summary information model: gives us overview community mean responses, well variance correlation random effects, phylogenetic signal parameter column signal. parameter ranges zero one, zero species responses phylogenetically structured, one fully phylogenetically structured.","code":"TMB::openmp(parallel::detectCores()-1, autopar = TRUE) # set parallel computation order <- gllvm:::findOrder(covMat = colMat, distMat = dist, nn = 15, order = as.integer(names(sort(allDists[1:length(tree$tip.label), nrow(allDists)],decreasing = TRUE))))$order order <- tree$tip.label[order] model1 <- gllvm(y = Y[,order], X = X, formula = ~(DBH.CM + AVERDP + I(AVERDP^2) + CONNECT10 + TEMPR + PRECIP + log.AREA|1), beta0com = TRUE, family = \"binomial\", num.lv = 0, sd.errors = FALSE, studyDesign = X[,c(\"REGION\", \"RESERVE\")], row.eff = ~(1 | REGION/RESERVE), colMat = list(colMat[order,order], dist = dist[order,order]), colMat.rho.struct = \"term\", nn.colMat = 15, optim.method = \"L-BFGS-B\") # calculate standard errors ses <- se.gllvm(model1) # this can take a few minutes model1$sd <- ses$sd model1$Hess <- ses$Hess row.names(model1$params$Br) <- c(\"Intercept\", \"Deadwood size\", \"Decay stage\", \"Decay stage²\", \"Connectivity\", \"Temperature range\", \"Precipitation\",\"ln(Reserve area)\") # strike REs that are not significant PEs <- gllvm::getPredictErr(model1) PIs <- data.frame(cbind(LI = c(model1$params$Br)-c(PEs$Br*1.96), UI = c(model1$params$Br)+c(PEs$Br*1.96))) model1$params$Br[-which((PIs$LI>0 & PIs$UI>0) | (PIs$LI<0 & PIs$UI<0))]<-NA layout(cbind(rbind(2,1),c(3,3)), respect = TRUE, heights = c(1.25,1), widths=c(2,0.5)) par(mar=c(5,5,0,0)) image(1L:ncol(model1$y), 1:ncol(model1$col.eff$spdr), t(model1$params$Br[,tree$tip.label]), col = colorRampPalette(c(\"#E69F00\",\"white\",\"#009E73\"))(28), axes=FALSE, ylim = 0.5+c(0,ncol(model1$col.eff$spdr)),xlim=0.5+c(0,ncol(model1$y)),xlab=NA, breaks = seq(-3.5,3.5,by=.25), ylab=NA) mtext(side=1, text=\"Species-specific random effect\",padj=4, cex = 0.6) axis(2, at= 1:ncol(model1$col.eff$spdr), labels=colnames(t(model1$params$Br)),las=1, cex.axis = 0.6, lwd=0) par(xpd=TRUE) for(i in 1:ncol(model1$col.eff$spdr)){ lines(x=c(-2,0),y=c(i,i)) } par(mar=c(0,1,2,0)) library(ape) plot(tree, show.tip.label = FALSE, direction = \"downwards\",xaxs=\"i\") # caterpillar coefs <- c(model1$params$beta0[1],model1$params$B[1:(ncol(model1$col.eff$spdr)-1)]) sds <- c(model1$sd$beta0[1],model1$sd$B[2:(ncol(model1$col.eff$spdr))]) CIs <- data.frame(cbind(LI=coefs+sds*qnorm(1-0.95), UI=coefs+sds*qnorm(0.95))) names(coefs) <- c(\"Intercept\", \"Deadwood size\", \"Decay stage\", \"Decay stage²\", \"Connectivity\", \"Temperature range\", \"Precipitation\", \"ln(Reserve area)\") cols <- rep(\"black\", 8) cols[-which((CIs$LI>0 & CIs$UI>0) | (CIs$LI<0 & CIs$UI<0))] <- \"grey\" par(mar=c(5,0.5,2,5), xpd=FALSE) plot(coefs, y = 1:length(coefs), yaxt=\"n\",ylab=\"\", pch=\"x\", col = cols, xlab = NA, cex.axis = 0.6, xlim = c(-max(abs(coefs)),max(abs(coefs)))) mtext(side = 1, text = \"Community mean response\", padj = 4, cex = 0.6) segments(x0 = CIs$LI, y0 = 1:length(coefs), x1 = CIs$UI, y1 = 1:length(coefs), col = cols) abline(v = 0, lty=\"dashed\") axis(4, at = 1:length(coefs), labels = names(coefs), las = 1, cex.axis = 0.6,lwd=0) corrplot::corrplot(getEnvironCor(model1), type = \"lower\", diag = FALSE, order = \"AOE\", tl.pos = \"n\", addgrid.col=NA, col.lim=c(0,1)) summary(model1) ## ## Call: ## gllvm(y = Y[, order], X = X, formula = ~(DBH.CM + AVERDP + I(AVERDP^2) + ## CONNECT10 + TEMPR + PRECIP + log.AREA | 1), family = \"binomial\", ## num.lv = 0, studyDesign = X[, c(\"REGION\", \"RESERVE\")], colMat = list(colMat[order, ## order], dist = dist[order, order]), colMat.rho.struct = \"term\", ## row.eff = ~(1 | REGION/RESERVE), sd.errors = FALSE, beta0com = TRUE, ## nn.colMat = 15, optim.method = \"L-BFGS-B\") ## ## Family: binomial ## ## AIC: 103080 AICc: 103080 BIC: 103662.6 LL: -51486 df: 54 ## ## Informed LVs: 0 ## Constrained LVs: 0 ## Unconstrained LVs: 0 ## ## Formula: ~(DBH.CM + AVERDP + I(AVERDP^2) + CONNECT10 + TEMPR + PRECIP + log.AREA | 1) ## LV formula: ~ 0 ## ## Random effects: ## Name Signal Variance Std.Dev Corr ## Intercept 0.2106 0.5218 0.7224 ## DBH.CM 0.5031 0.0052 0.0722 0.7524 ## AVERDP 0.9711 0.3825 0.6185 0.1015 -0.0181 ## I.AVERDP.2. 0.8007 0.0122 0.1105 -0.4874 -0.4696 -0.4871 ## CONNECT10 0.0613 0.0270 0.1642 -0.1800 -0.1082 0.1563 -0.1128 ## TEMPR 0.0499 0.0436 0.2087 -0.1579 -0.2858 -0.0683 0.7212 0.3666 ## PRECIP 0.0000 0.0324 0.1799 0.2290 0.6520 -0.3145 0.0977 -0.5629 ## log.AREA 0.0310 0.0158 0.1258 -0.1418 -0.1302 0.0928 -0.6283 0.4803 ## ## ## ## ## ## ## ## -0.2123 ## -0.5604 -0.5228 ## ## Coefficients predictors: ## Estimate Std. Error z value Pr(>|z|) ## Intercept -2.05756 0.13590 -15.140 < 2e-16 *** ## DBH.CM 0.10583 0.01936 5.465 4.62e-08 *** ## AVERDP -0.08548 0.22763 -0.376 0.707278 ## I.AVERDP.2. -0.12467 0.03344 -3.728 0.000193 *** ## CONNECT10 -0.03260 0.04141 -0.787 0.431209 ## TEMPR 0.03646 0.04454 0.818 0.413120 ## PRECIP -0.02091 0.03726 -0.561 0.574756 ## log.AREA 0.05643 0.02976 1.896 0.057952 . ## --- ## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1"},{"path":"/articles/vignette7.html","id":"phylogenetic-fourth-corner-model","dir":"Articles","previous_headings":"","what":"Phylogenetic fourth corner model","title":"Phylogenetic random effects","text":"fourth corner model extends previous model functional traits. interface still little difference, correlation random effects always included. Otherwise tools similar, just present example code fitting model, discuss (see vignettes gllvm R-package discussion fourth corner model).","code":"TR <- fungi$TR # the functional traits model2 <- gllvm(y = Y, X = cbind(int = 1, X), TR = TR, formula = ~DBH.CM + AVERDP + I(AVERDP^2) + CONNECT10 + TEMPR + PRECIP + log.AREA + (DBH.CM + AVERDP + I(AVERDP^2) + CONNECT10 + TEMPR + PRECIP + log.AREA):(PC1.1 + PC1.2 + PC1.3), family = \"binomial\", num.lv = 0, studyDesign = X[, c(\"REGION\", \"RESERVE\")], colMat = list(C, dist = dist), colMat.rho.struct = \"term\", row.eff = ~(1 | REGION/RESERVE), sd.errors = FALSE, randomX = ~int + DBH.CM + AVERDP + I(AVERDP^2) + CONNECT10 + TEMPR + PRECIP + log.AREA, beta0com = TRUE, Ab.struct = \"MNunstructured\", nn.colMat = 10, max.iter = 20000, maxit = 20000, optim.method = \"L-BFGS-B\", randomX.start = \"res\")"},{"path":[]},{"path":"/articles/vignette8.html","id":"hurdle-beta-gllvm","dir":"Articles","previous_headings":"","what":"Hurdle beta GLLVM","title":"Analysing sparse ecological percent cover data using gllvm","text":"Traditionally, beta regression used model responses take form percentages. yij*y^*_{ij} (open) interval (0,1)(0,1), distributed according beta distribution, yij*∼Beta(μij,ϕj)y^*_{ij} \\sim \\text{Beta}(\\mu_{ij}, \\phi_j), following density: fbeta(yij*;μij,ϕj)=Γ(ϕj)Γ(μijϕj)Γ(ϕj−ϕjμij)(yij*)μijϕj−1(1−yij*)ϕj(1−μij−1). f_{\\text{beta}}(y_{ij}^*; \\mu_{ij}, \\phi_j) = \\frac{\\Gamma(\\phi_j)}{\\Gamma(\\mu_{ij}\\phi_j)\\Gamma(\\phi_j-\\phi_j\\mu_{ij})} (y_{ij}^*)^{\\mu_{ij}\\phi_j-1}(1-y_{ij}^*)^{\\phi_j(1-\\mu_{ij}-1)}. mean parameter μij\\mu_{ij} can connected set covariates latent variables link function, equation $g(\\mu_{ij})=\\eta_{ij} = \\beta_{0j} + \\boldsymbol{\\beta}_j^\\top\\bf{x_i} + \\boldsymbol{\\lambda}_j^\\top\\bf{u_i}$. However, model ill-suited percent cover datasets, due fact beta distribution isn’t capable handling zero (100%100\\%) responses. make use beta regression model scenario, one needs use transformation order ‘push’ responses away boundaries. procedure might provide reasonable results numbers zeros ones data relatively low. hand, transforming zeros ones, might lose important information. sophisticated way tackling issue considering zero-accommodating model, couple proposed recently. One model hurdle beta model, models two (can extended three 100%100\\% covers recorded, see Korhonen et al. (2024)) classes response yijy_{ij} can take, .e., {0}\\{0\\} (0,1)(0,1), separate processes. Namely, zeros assumed generated Bernoulli process. Conditional yij∈(0,1)y_{ij}\\(0,1), response modeled using standard beta distribution presented . likelihood function response YijY_{ij} following hurdle beta distribution form: P(Yij;μij,μij0,ϕj)={1−μij0,Yij=0,μij0⋅fbeta(Yij;μij,ϕj),Yij∈(0,1). P(Y_{ij};\\mu_{ij}, \\mu_{ij}^0, \\phi_j) = \\begin{cases} 1-\\mu_{ij}^0, & Y_{ij} = 0,\\\\ \\mu_{ij}^0 \\cdot f_{\\text{beta}}(Y_{ij};\\mu_{ij},\\phi_j), & Y_{ij} \\(0,1). \\\\ \\end{cases} $g(\\mu_{ij}^0) = \\eta_{ij}^0 = \\beta_{0j}^0 + \\bf{x_i}^\\top\\boldsymbol{\\beta}_j^0 + \\bf{u_i}^\\top\\boldsymbol{\\lambda}_j^0$ $g(\\mu_{ij}) = \\eta_{ij} = \\beta_{0j} + \\bf{x_i}^\\top\\boldsymbol{\\beta}_j + \\bf{u_i}^\\top\\boldsymbol{\\lambda}_j$ g(⋅)g(\\cdot) can either probit logistic link function. Note, , separate linear predictors share environmental covariates $\\bf{x}_i$ latent variable scores $\\bf{u}_i$, coefficients loadings allowed differ. gllvm package implements hurdle beta GLLVM two different estimation methods available. First, accessed argument method=\"VA\" calling uses hybrid approach, method variational approximations, VA, applied Bernoulli-process part data (probit link allowed), method extended variational approximations, see Korhonen et al. (2023), applied beta distributed part. instead specifying method=\"EVA\", EVA method applied parts likelihood.","code":""},{"path":"/articles/vignette8.html","id":"example","dir":"Articles","previous_headings":"","what":"Example","title":"Analysing sparse ecological percent cover data using gllvm","text":"following, show fit logistic hurdle beta GLLVM using EVA SBC LTER marine macroalgae (.e., seaweed) percent cover dataset. data collected 2000-2020 along 44 permanent transect lines along coastal southern California. specify model two latent variables (ordination) include rockiness seabed average number stripes giant kelp environmental covariates model. setting data, LV design covariates, model estimated inspect e.g., covariate effects, use , prefix indicates coefficient relates Bernoulli part hurdle model. Ordination plot can generated per usual:","code":"library(gllvm) ## Loading required package: TMB ## ## Attaching package: 'gllvm' ## The following object is masked from 'package:stats': ## ## simulate data(\"kelpforest\") Yabund <- kelpforest$Y Xenv <- kelpforest$X SPinfo <- kelpforest$SPinfo # Data contains both algae and sessile invertebrates table(SPinfo$GROUP) ## ## ALGAE INVERT PLANT ## 61 69 2 # Select only the macroalgae: Yalg <- Yabund[,SPinfo$GROUP==\"ALGAE\"] # Remove empty rows and rows with missing values from the data rem0 <- which((rowSums(Yalg)==0) | is.na(rowSums(Yalg))) Yalg <- Yalg[-rem0,] Xenv <- Xenv[-rem0,] # Use only the data from the year 2016: Yalg <- Yalg[Xenv$YEAR==2016,] Xenv <- Xenv[Xenv$YEAR==2016,] # Remove species which have no observations Yalg <- Yalg[,-which(colSums(Yalg>0)==0)] # Number of obs. and species: dim(Yalg) ## [1] 44 53 # Specify the covariates in the linear predictor Xformulai = ~KELP_FRONDS + PERCENT_ROCKY fit <- gllvm(Yalg, X=Xenv, formula = Xformulai, family = \"betaH\", method=\"EVA\", num.lv = 2, link=\"logit\", control=list(reltol=1e-12)) fit$params$Xcoef ## KELP_FRONDS PERCENT_ROCKY ## AMZO -7.559186e-04 -0.0373175029 ## AU -1.171584e-02 -0.0144005483 ## BF -7.152126e+00 0.2910471383 ## BLD -3.204658e-03 -0.0476120686 ## BO 2.921004e-01 -0.0518882807 ## BR -7.344966e-02 0.0170783843 ## BRA 5.055051e-01 -0.0834416672 ## CAL 1.084007e-02 0.0987800253 ## CC 1.025623e-02 0.0073087358 ## CF 3.707650e-01 -0.0541218208 ## CG -5.926928e-01 0.0200915429 ## CO -1.616248e-01 -0.0018804530 ## COF -1.945997e+00 0.1076413311 ## CP -5.341896e-01 -0.0525919654 ## CRYP -2.611052e-01 0.2110012892 ## CYOS -4.161144e-02 -0.0008006455 ## CZ 4.628213e-04 0.0085906513 ## DL 7.894424e-02 0.0212654434 ## DMH 4.544533e-01 -0.0691309306 ## DP -3.263565e-01 0.0274147869 ## DU 7.196500e-01 -0.0447905585 ## EAH 1.519401e+00 -0.0156289883 ## EC 5.883289e-02 -0.0042398629 ## EH 4.749486e-01 -0.0975087044 ## ER 3.295087e-01 0.0531826773 ## FASP -1.215428e-03 -0.0391408967 ## FB -4.407266e+00 0.1916424807 ## FTHR 7.616866e-01 -0.1097986807 ## GR -7.260712e-01 0.1102382440 ## GS -3.964070e-01 0.0111632915 ## GYSP 2.413003e-01 0.0143571013 ## IR 1.441621e-04 0.0053780677 ## LH -3.276121e-03 -0.0450325932 ## LI -2.157823e-04 -0.1942040396 ## LS -4.760342e-03 -0.0669292377 ## LX -9.268553e-03 -0.1243831800 ## MH 1.951122e-01 -0.0469759419 ## NIE -3.443298e-01 0.0464217012 ## PH 3.919663e+00 -0.4895614905 ## PHSE -4.274897e-01 0.0069147629 ## PL 1.301021e-01 -0.0120383487 ## POLA 3.667980e-03 -0.0402016866 ## PRSP 7.412486e-02 0.0179344497 ## R -1.332818e-01 -0.0179944287 ## RAT -1.488806e-01 -0.0007753643 ## SAFU -2.529752e+00 -0.0106505288 ## SAHO 1.442079e+01 -0.0401619983 ## SAMU 6.549716e-02 -0.0414008525 ## SCCA 1.490898e-01 0.1616272016 ## STIN -1.475045e-04 -0.1327540257 ## TALE -1.129042e+00 0.2133050826 ## UEC -8.695526e-06 -0.0043477629 ## UV 2.003956e+00 -0.0479209989 ## H01_AMZO -4.841612e+00 0.1788281281 ## H01_AU 5.541914e-01 -0.0499089497 ## H01_BF 9.302235e-01 -0.1831368106 ## H01_BLD -3.166692e+00 0.0044685104 ## H01_BO -8.521816e-01 0.0597387768 ## H01_BR -4.130075e+00 0.2062679137 ## H01_BRA 1.467430e+00 -0.1214364228 ## H01_CAL 1.098740e-01 0.1016509682 ## H01_CC -9.434492e-01 0.0476976557 ## H01_CF -8.951098e-01 0.0555029715 ## H01_CG 2.782149e+00 -0.0360817065 ## H01_CO 1.089165e-02 -0.0070612956 ## H01_COF 8.422893e-01 0.1341693069 ## H01_CP 1.234360e-01 0.1637403771 ## H01_CRYP 2.431979e-01 -0.0520857664 ## H01_CYOS 1.385716e-01 -0.0426825965 ## H01_CZ 1.940466e+00 0.0116455418 ## H01_DL 1.940083e+00 -0.1921942650 ## H01_DMH 8.445488e-01 -0.1031294144 ## H01_DP -1.148621e+00 0.0846122857 ## H01_DU 1.648629e-01 0.1139389772 ## H01_EAH -1.101818e+01 0.1624284935 ## H01_EC -4.705728e-01 0.0752961970 ## H01_EH 6.594496e-01 -0.0852358489 ## H01_ER -9.091324e-02 0.0489652646 ## H01_FASP -3.594163e+00 0.2610957250 ## H01_FB 3.312038e-01 -0.1065414193 ## H01_FTHR -4.004102e-01 -0.0294651876 ## H01_GR 1.734091e-01 0.1893856202 ## H01_GS 6.162066e-01 -0.1798357145 ## H01_GYSP -1.709483e-01 0.0603420945 ## H01_IR 1.031488e+00 0.0744924805 ## H01_LH -2.832070e-02 0.1480468392 ## H01_LI -9.133589e+00 0.1530503448 ## H01_LS 1.407361e+00 -0.0180365105 ## H01_LX -2.052777e+00 0.0602210236 ## H01_MH 1.298937e+00 -0.0143851169 ## H01_NIE 2.156391e+00 -0.1614652703 ## H01_PH -6.586931e-01 0.0278619343 ## H01_PHSE 4.155348e-01 -0.1406834417 ## H01_PL 1.172594e-01 -0.0136841328 ## H01_POLA 5.610652e-01 -0.0527295403 ## H01_PRSP 5.774080e-01 -0.0424166671 ## H01_R -3.099174e+00 0.1850947593 ## H01_RAT -8.390719e-03 0.0203986826 ## H01_SAFU -8.869626e-01 -0.2241742926 ## H01_SAHO -5.815047e+00 0.1592870866 ## H01_SAMU 5.432835e-02 -0.0014264794 ## H01_SCCA -3.423721e+00 0.2266017485 ## H01_STIN -8.767218e+00 0.1366966215 ## H01_TALE -4.500551e-01 0.2346714056 ## H01_UEC -8.019724e-01 0.0908981956 ## H01_UV -1.021429e+00 -0.1290730236 ordiplot(fit, jitter = TRUE, s.cex = .8)"},{"path":[]},{"path":"/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Jenni Niku. Author, maintainer. Wesley Brooks. Author. Riki Herliansyah. Author. Francis K.C. Hui. Author. Pekka Korhonen. Author. Sara Taskinen. Author. Bert van der Veen. Author. David . Warton. Author.","code":""},{"path":"/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Niku, J., Brooks, W., Herliansyah, R., Hui, F. K. C., Korhonen, P., Taskinen, S., van der Veen, B., Warton, D. . (2024). gllvm: Generalized Linear Latent Variable Models.R package version 1.4.7. Niku, J., Hui, F. K. C., Taskinen, S., Warton, D. . (2019). gllvm - Fast analysis multivariate abundance data generalized linear latent variable models R. Methods Ecology Evolution, 10, 2173-2182. Niku, J., Hui, F. K. C., Taskinen, S., Warton, D. . (2021). Analyzing environmental-trait interactions ecological communities fourth-corner latent variable models. Environmetrics, 32, 1-17. van der Veen, B. O'Hara, R.B. (2024). Fast fitting phylogenetic mixed effects models. arxiv. van der Veen, B., Hui, F. K. C., Hovstad, K.., Solbu, E.B., O'Hara, R.B. (2021). Model-based ordination species unequal niche widths. Methods Ecology Evolution, 12, 1288-1300. van der Veen, B., Hui, F. K. C., Hovstad, K.., O'Hara, R.B. (2023). Concurrent ordination: simultaneous unconstrained constrained latent variable modelling. Methods Ecology Evolution, 14, 683-695. Korhonen, P., Hui, F. K. C., Niku, J., Taskinen, S. (2023). Fast universal estimation latent variable models using extended variational approximations. Statistics Computing, 33, 1-16.","code":"@Manual{, title = {gllvm: Generalized Linear Latent Variable Models}, author = {Jenni Niku and Wesley Brooks and Riki Herliansyah and Francis K. C. Hui and Pekka Korhonen and Sara Taskinen and Bert {van der Veen} and David I. Warton}, year = {2024}, note = {R package version 1.4.7}, } @Article{, title = {gllvm - Fast analysis of multivariate abundance data with generalized linear latent variable models in R}, author = {Jenni Niku and Francis K. C. Hui and Sara Taskinen and David I. Warton}, journal = {Methods in Ecology and Evolution}, year = {2019}, volume = {10}, pages = {2173-2182}, } @Article{, title = {Analyzing environmental-trait interactions in ecological communities with fourth-corner latent variable models}, author = {Jenni Niku and Francis K. C. Hui and Sara Taskinen and David I. Warton}, journal = {Environmetrics}, year = {2021}, volume = {32}, pages = {1-17}, } @Article{, title = {Fast fitting of phylogenetic mixed effects models}, author = {Bert {van der Veen} and Robert B. O'Hara}, journal = {arxiv}, year = {2024}, } @Article{, title = {Model-based ordination for species with unequal niche widths}, author = {Bert {van der Veen} and Francis K. C. Hui and Knut A. Hovstad and Erik B. Solbu and Robert B. O'Hara}, journal = {Methods in Ecology and Evolution}, year = {2021}, volume = {12}, pages = {1288-1300}, } @Article{, title = {Concurrent ordination: Simultaneous unconstrained and constrained latent variable modelling}, author = {Bert {van der Veen} and Francis K. C. Hui and Knut A. Hovstad and Robert B. O'Hara}, journal = {Methods in Ecology and Evolution}, year = {2023}, volume = {14}, pages = {683-695}, } @Article{, title = {Fast and universal estimation of latent variable models using extended variational approximations}, author = {Pekka Korhonen and Francis K. C. Hui and Jenni Niku and Sara Taskinen}, journal = {Statistics and Computing}, year = {2023}, volume = {33}, pages = {1-16}, }"},{"path":"/index.html","id":"gllvm","dir":"","previous_headings":"","what":"Generalized Linear Latent Variable Models","title":"Generalized Linear Latent Variable Models","text":"gllvm R package analysing multivariate ecological data Generalized Linear Latent Variable Models (GLLVM). Estimation performed using maximum likelihood estimation, together either variational approximation (VA) Laplace approximation (LA) method approximate marginal likelihood.","code":""},{"path":"/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Generalized Linear Latent Variable Models","text":"CRAN can install package using: development version gllvm github help devtools package using:","code":"install.packages(\"gllvm\") devtools::install_github(\"JenniNiku/gllvm\")"},{"path":"/index.html","id":"getting-started","dir":"","previous_headings":"","what":"Getting started","title":"Generalized Linear Latent Variable Models","text":"getting started gllvm recommend read vignette Analysing multivariate abundance data using gllvm introductions using gllvm ordination analysing species correlations. available vignettes : Analysing microbial community data, use quadratic response model, Ordination predictors Analysing percent cover data.","code":""},{"path":"/index.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Generalized Linear Latent Variable Models","text":"citation function R provides information cite methods package. Please remember cite software (version) separately relevent research articles provide appropriate credit associated contributors. reference software package : Niku, J., Brooks, W., Herliansyah, R., Hui, F. K. C., Korhonen, P., Taskinen, S., van der Veen, B., Warton, D. . (YYYY). gllvm: Generalized Linear Latent Variable Models.R package version XXX, YYYY represents publication date used version package represented XXX.","code":""},{"path":"/index.html","id":"references","dir":"","previous_headings":"","what":"References","title":"Generalized Linear Latent Variable Models","text":"Hui, F.K.C., Warton, D., Ormerod, J., Haapaniemi, V., & Taskinen, S. (2017). Variational approximations generalized linear latent variable models. Journal Computational Graphical Statistics, 26(1), 35 - 43. Niku, J., Warton, D., Hui, F.K.C., & Taskinen, S. (2017). Generalized linear latent variable models multivariate count biomass data ecology. Journal Agricultural, Biological Environmental Statistics, 22(4), 498 - 522. Niku, J., Hui, F.K.C., Taskinen, S., & Warton, D. (2019). gllvm: Fast analysis multivariate abundance data generalized linear latent variable models r. Methods Ecology Evolution, 10(12), 2173 - 2182. Niku, J., Brooks, W., Herliansyah, R., Hui, F.K.C., Taskinen, S., & Warton, D. (2019). Efficient estimation generalized linear latent variable models. PloS one, 14(5), e0216129. Niku, J., Hui, F. K. C., Taskinen, S., Warton, D. . (2021). Analyzing environmental-trait interactions ecological communities fourth-corner latent variable models. Environmetrics, 32(6), 1-17. van der Veen, B., Hui, F.K.C., Hovstad, K.., Solbu, E.B., & O’Hara, R.B. (2021). Model-based ordination species unequal niche widths. Methods Ecology Evolution, 12(7), 1288 - 1300. van der Veen, B., Hui, F. K. C., Hovstad, K.., O’Hara, R.B. (2023). Concurrent ordination: simultaneous unconstrained constrained latent variable modelling. Methods Ecology Evolution, 14(2), 683-695. van der Veen, B. O’Hara, R.B. (2024). Fast fitting phylogenetic mixed effects models. arxiv. Korhonen, P., Hui, F. K. C., Niku, J., Taskinen, S. (2023). Fast universal estimation latent variable models using extended variational approximations. Statistics Computing, 33(1), 1-16.","code":""},{"path":"/reference/AICc.html","id":null,"dir":"Reference","previous_headings":"","what":"Corrected Akaike information criterion and number of observations — AICc","title":"Corrected Akaike information criterion and number of observations — AICc","text":"Calculates corrected Akaike information criterion small sample sizes, extracts number observations.","code":""},{"path":"/reference/AICc.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Corrected Akaike information criterion and number of observations — AICc","text":"","code":"# S3 method for class 'gllvm' AICc(object, ...) # S3 method for class 'gllvm' nobs(object, ...)"},{"path":"/reference/AICc.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Corrected Akaike information criterion and number of observations — AICc","text":"object object class 'gllvm'. ... used.","code":""},{"path":"/reference/AICc.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Corrected Akaike information criterion and number of observations — AICc","text":"Jenni Niku, Bert van der Veen","code":""},{"path":"/reference/anova.gllvm.html","id":null,"dir":"Reference","previous_headings":"","what":"Analysis Of Deviance for gllvm — anova.gllvm","title":"Analysis Of Deviance for gllvm — anova.gllvm","text":"Computes analysis deviance table two generalized linear latent variable model fits.","code":""},{"path":"/reference/anova.gllvm.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Analysis Of Deviance for gllvm — anova.gllvm","text":"","code":"# S3 method for class 'gllvm' anova(object, ...)"},{"path":"/reference/anova.gllvm.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Analysis Of Deviance for gllvm — anova.gllvm","text":"object object class 'gllvm'. ... one objects class 'gllvm'","code":""},{"path":"/reference/anova.gllvm.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Analysis Of Deviance for gllvm — anova.gllvm","text":"Computes likelihood-ratio test two gllvm models. Test results makes sense nested models. Notice also test designed testing models degrees freedom difference larger 20. models P-value treated approximate.","code":""},{"path":"/reference/anova.gllvm.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Analysis Of Deviance for gllvm — anova.gllvm","text":"Jenni Niku","code":""},{"path":"/reference/anova.gllvm.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Analysis Of Deviance for gllvm — anova.gllvm","text":"","code":"# \\donttest{ ## Load a dataset from the mvabund package data(antTraits, package = \"mvabund\") y <- antTraits$abund X <- antTraits$env TR <- antTraits$traits # Fit gllvm model fit1 <- gllvm(y, X, TR, formula = ~ Bare.ground + Shrub.cover, family = poisson()) fit2 <- gllvm(y, X, TR, formula = ~ Bare.ground + Shrub.cover + (Bare.ground + Shrub.cover) : Webers.length, family = poisson()) # Test if the model with fourth corner interaction terms is significantly # better using likelihood-ratio test: anova(fit1, fit2) #> Model 1 : ~ Bare.ground + Shrub.cover #> Model 2 : ~ Bare.ground + Shrub.cover + (Bare.ground + Shrub.cover):Webers.length #> Resid.Df D Df.diff P.value #> 1 1106 0.00000 0 #> 2 1104 13.07389 2 0.00144891 # }"},{"path":"/reference/coefplot.gllvm.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot covariate coefficients and confidence intervals — coefplot.gllvm","title":"Plot covariate coefficients and confidence intervals — coefplot.gllvm","text":"Plots covariate coefficients confidence intervals.","code":""},{"path":"/reference/coefplot.gllvm.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot covariate coefficients and confidence intervals — coefplot.gllvm","text":"","code":"# S3 method for class 'gllvm' coefplot( object, y.label = TRUE, which.Xcoef = NULL, order = TRUE, cex.ylab = 0.5, cex.xlab = 1.3, mfrow = NULL, mar = c(4, 6, 2, 1), xlim.list = NULL, ... )"},{"path":"/reference/coefplot.gllvm.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot covariate coefficients and confidence intervals — coefplot.gllvm","text":"object object class 'gllvm'. y.label logical, TRUE (default) colnames y respect coefficients added plot. .Xcoef vector indicating covariate coefficients plotted. Can vector covariate names numbers. Default NULL covariate coefficients plotted. order logical, whether coefficients ordered, defaults TRUE. cex.ylab magnification used axis annotation relative current setting cex. cex.xlab magnification used axis annotation. mfrow mfrow par. NULL (default) determined automatically. mar vector length 4, defines margin sizes: c(bottom, left, top, right). Defaults c(4,5,2,1). xlim.list list vectors length two define intervals x axis covariate plot. Defaults NULL interval defined range point estimates confidence intervals ... additional graphical arguments.","code":""},{"path":"/reference/coefplot.gllvm.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Plot covariate coefficients and confidence intervals — coefplot.gllvm","text":"Jenni Niku , Francis K.C. Hui, Sara Taskinen, Bert van der Veen","code":""},{"path":"/reference/coefplot.gllvm.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot covariate coefficients and confidence intervals — coefplot.gllvm","text":"","code":"# Extract subset of the microbial data to be used as an example data(microbialdata) X <- microbialdata$Xenv y <- microbialdata$Y[, order(colMeans(microbialdata$Y > 0), decreasing = TRUE)[21:40]] fit <- gllvm(y, X, formula = ~ pH + Phosp, family = poisson()) coefplot(fit) if (FALSE) { # \\dontrun{ ## Load a dataset from the mvabund package data(antTraits, package = \"mvabund\") y <- as.matrix(antTraits$abund) X <- as.matrix(antTraits$env) # Fit model with environmental covariates fit <- gllvm(y, X, formula = ~ Bare.ground + Shrub.cover, family = poisson()) coefplot.gllvm(fit) # Fit model with all environmental covariates fitx <- gllvm(y, X, family = \"negative.binomial\") coefplot(fitx, mfrow = c(3,2)) coefplot(fitx, which.Xcoef = 1:2) # Fit gllvm model with environmental and trait covariates TR <- antTraits$traits fitT <- gllvm(y = y, X = X, TR = TR, family = \"negative.binomial\") coefplot(fitT) # Fit gllvm model with environmental covariances and reduced rank fitRR <- gllvm(y = y, X = X, num.RR = 2, family = \"negative.binomial\") coefplot(fitRR) } # }"},{"path":"/reference/confint.gllvm.html","id":null,"dir":"Reference","previous_headings":"","what":"Confidence intervals for model parameters — confint.gllvm","title":"Confidence intervals for model parameters — confint.gllvm","text":"Computes confidence intervals parameters fitted gllvm model.","code":""},{"path":"/reference/confint.gllvm.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Confidence intervals for model parameters — confint.gllvm","text":"","code":"# S3 method for class 'gllvm' confint(object, parm = NULL, level = 0.95, ...)"},{"path":"/reference/confint.gllvm.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Confidence intervals for model parameters — confint.gllvm","text":"object object class 'gllvm'. parm specification parameters given confidence intervals, vector names. Examples options \"beta0\", \"Xcoef\",theta\", \"phi\". missing, parameters considered. level confidence level. Scalar 0 1. ... used.","code":""},{"path":"/reference/confint.gllvm.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Confidence intervals for model parameters — confint.gllvm","text":"Jenni Niku ","code":""},{"path":"/reference/confint.gllvm.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Confidence intervals for model parameters — confint.gllvm","text":"","code":"if (FALSE) { # \\dontrun{ ## Load a dataset from the mvabund package data(antTraits, package = \"mvabund\") y <- as.matrix(antTraits$abund) X <- as.matrix(antTraits$env[,1:2]) # Fit gllvm model fit <- gllvm(y = y, X = X, family = poisson()) # 95 % confidence intervals for coefficients of X variables confint(fit, level = 0.95, parm = \"Xcoef\") } # }"},{"path":"/reference/ecoCoefs.html","id":null,"dir":"Reference","previous_headings":"","what":"Functions to extract ecological quantities of the latent variables from a GLLVM, if species are a quadratic function of the latent variables. — ecoCoefs","title":"Functions to extract ecological quantities of the latent variables from a GLLVM, if species are a quadratic function of the latent variables. — ecoCoefs","text":"Extracts species optima tolerances, potentially standard errors (derived Delta method).","code":""},{"path":"/reference/ecoCoefs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Functions to extract ecological quantities of the latent variables from a GLLVM, if species are a quadratic function of the latent variables. — ecoCoefs","text":"","code":"# S3 method for class 'gllvm' optima(object, sd.errors = TRUE, ...) # S3 method for class 'gllvm' tolerances(object, sd.errors = TRUE, ...)"},{"path":"/reference/ecoCoefs.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Functions to extract ecological quantities of the latent variables from a GLLVM, if species are a quadratic function of the latent variables. — ecoCoefs","text":"object object class 'gllvm'. sd.errors logical. TRUE, also returns standard errors. ... used.","code":""},{"path":"/reference/ecoCoefs.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Functions to extract ecological quantities of the latent variables from a GLLVM, if species are a quadratic function of the latent variables. — ecoCoefs","text":"Currently separate method calculating species maxima gradient length implemented. Gradient length can inferred standard deviation latent variables, reported summary.gllvm.","code":""},{"path":"/reference/ecoCoefs.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Functions to extract ecological quantities of the latent variables from a GLLVM, if species are a quadratic function of the latent variables. — ecoCoefs","text":"Bert van der Veen","code":""},{"path":"/reference/eSpider.html","id":null,"dir":"Reference","previous_headings":"","what":"Hunting spider data — eSpider","title":"Hunting spider data — eSpider","text":"Extended dataset counts hunting spiders dune area Netherlands, measured 100 pitfall traps.","code":""},{"path":"/reference/eSpider.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Hunting spider data — eSpider","text":"","code":"data(eSpider)"},{"path":"/reference/eSpider.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Hunting spider data — eSpider","text":"abund data frame abundances 12 hunting spider species measured 100 sites. X matrix 26 predictor variables 28 100 sites. nonNA vector indices indicating sites predictor variables measured.","code":""},{"path":"/reference/eSpider.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Hunting spider data — eSpider","text":"Counts hunting spiders dune area Netherlands, measured 100 different pitfall traps. dataset published permission CANOCO FORTRAN package (version 4 higher) example datasets. Species names abbreviated, corresponding : Alopacce = Alopecosa accentuata, Alopcune = Alopecosa cuneata, Alopfabr = Alopecosa fabrilis, Arctlute = Arctosa lutetiana, Arctperi = Arctosa perita, Auloalbi = Aulonia albimana, Pardlugu = Pardosa lugubris, Pardmont = Pardosa monticola, Pardnigr = Pardosa nigriceps, Pardpull = Pardosa pullata, Trocterr = Trochosa terricola, Zoraspin = Zora spinimana. Environmental measurements taken 28 100 pitfall traps measuring soil properties(Water content: \"conWate\", Humus content: \"conHumu\", Acidity (pH-KCl)), vegetation (\"BareSand\": percentage bare sand, \"FallTwig\": cover ground leaves twigs, \"CovMoss\": cover mosses lichens, \"CovHerb\": cover herb grass layer (including maximum height, minimum height, \"CovCala\": cover Calamagrostis epigejos, cover Carex arenaria, \"CovFest\": cover Festuca ovina, \"CovCory\": cover Corynephorus canescens, \"CovUrti\": cover Urtica dioica, \"CovMoeh\": cover Moehringia trinervia), \"CovShru\": cover shrub layer (minimum maximum height, \"CovLigu\": cover Ligustrum vulgare), \"CovTree\": cover tree layer (including maximum height, cover Populus tremula Crataegus monogyna)), light properties (\"LuxGrey\": lux equal grey sky, \"LuxSun\": lux cloudless sky, \"LuxRef\": lux reflection soil surface) original publication Canonical Correspondence Analysis used standardized versions log log1p transformed predictors \"ConWate\", \"BareSand\", \"FallTwig\", \"CovMoss\", \"CovHerb\", \"LuxRef\".","code":""},{"path":"/reference/eSpider.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Hunting spider data — eSpider","text":"ter Braak, C.J.F. Smilauer, P. (1998). CANOCO reference manual user's guide CANOCO Windows: software canonical community ordination (version 4). Microcomputer Power, New York, New York, USA. ter Braak, C.J.F. (1986). Canonical correspondence analysis: new eigenvector technique multivariate direct gradient analysis. Ecology, 67(5), 1167-1179. Van der Aart, P. J. M. Smeenk-Enserink, N. (1975). Correlations distributions hunting spiders (Lycosidae, Ctenidae) environmental characteristics dune area. Netherlands Journal Zoology, 25(1), 1-45.","code":""},{"path":"/reference/eSpider.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Hunting spider data — eSpider","text":"","code":"data(eSpider) Y <- eSpider$abund[eSpider$nonNA, ] X <- eSpider$X[eSpider$nonNA, ] model <- gllvm(y = Y, X = X, lv.formula = ~log(ConWate) + log1p(BareSand) + log1p(FallTwig) + log1p(CovMoss) + log1p(CovHerb) + log(LuxRef), num.RR = 2, family = \"poisson\")"},{"path":"/reference/fungi.html","id":null,"dir":"Reference","previous_headings":"","what":"Wood-decaying fungi data — fungi","title":"Wood-decaying fungi data — fungi","text":"Dataset 1666 binary observations 215 fungal species, different 53 European Beech forests spread across 8 regions.","code":""},{"path":"/reference/fungi.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Wood-decaying fungi data — fungi","text":"","code":"data(fungi)"},{"path":"/reference/fungi.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Wood-decaying fungi data — fungi","text":"Y data frame presence-absences 215 fungal species measured 1666 logs. X data frame 8 predictor variables. TR data frame traits used Abrego et al. (2022). tree phylogenetic tree. C phylogenetic covariance matrix. dist phylogenetic distance matrix.","code":""},{"path":"/reference/fungi.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Wood-decaying fungi data — fungi","text":"Observations fungi species inhabiting European beech logs, different European countries. countries grouped eight different regions. Logs surveyed 53 different reserves (sites). Included environment trait covariates limited analyzed original article, though available published dataset datadryad.org.","code":""},{"path":"/reference/fungi.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Wood-decaying fungi data — fungi","text":"Abrego, N., Bässler, C., Christensen, M., Heilmann‐Clausen, J. (2022). Traits phylogenies modulate environmental responses wood‐inhabiting fungal communities across spatial scales. Journal Ecology, 110(4), 784-798. Abrego, N., Bässler, C., Christensen, M., Heilmann-Clausen, J. (2022). Data code : Traits phylogenies modulate environmental responses wood-inhabiting fungal communities across spatial scales [Dataset]. Dryad. https://doi.org/10.5061/dryad.t76hdr82r","code":""},{"path":"/reference/fungi.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Wood-decaying fungi data — fungi","text":"","code":"if (FALSE) { # \\dontrun{ data(fungi) Y <- fungi$Y X <- fungi$X TR <- fungi$TR C <- fungi$C dist <- fungi$dist #model <- gllvm(y = Y, X = cbind(int = 1, X), TR = TR, # formula = ~DBH.CM + AVERDP + I(AVERDP^2) + CONNECT10 + TEMPR + PRECIP + # log.AREA + (DBH.CM + AVERDP + I(AVERDP^2) + CONNECT10 + TEMPR + PRECIP + # log.AREA):(FB.type + Sp.log.vol.µ3 + Lifestyle), # family = \"binomial\", num.lv = 0, studyDesign = X[,c(\"REGION\", \"RESERVE\")], # colMat = list(C, dist = dist), colMat.rho.struct = \"term\", # row.eff = ~(1 | REGION/RESERVE), sd.errors = FALSE, # randomX = ~int + DBH.CM + AVERDP + I(AVERDP^2) + # CONNECT10 + TEMPR + PRECIP + log.AREA, # beta0com = TRUE, nn.colMat = 10, maxit = 20000) } # }"},{"path":"/reference/getEnvironCov.gllvm.html","id":null,"dir":"Reference","previous_headings":"","what":"Extract species covariances due to environmental random effects from gllvm object — getEnvironCov.gllvm","title":"Extract species covariances due to environmental random effects from gllvm object — getEnvironCov.gllvm","text":"Calculates species environment covariance matrix gllvm object.","code":""},{"path":"/reference/getEnvironCov.gllvm.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Extract species covariances due to environmental random effects from gllvm object — getEnvironCov.gllvm","text":"","code":"# S3 method for class 'gllvm' getEnvironCov(object, x = NULL, ...)"},{"path":"/reference/getEnvironCov.gllvm.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Extract species covariances due to environmental random effects from gllvm object — getEnvironCov.gllvm","text":"object object class 'gllvm'. x (optional) vector covariate values calculate covariance . Defaults vector 1s. 'randomX' random species effects present model list length two. ... used","code":""},{"path":"/reference/getEnvironCov.gllvm.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Extract species covariances due to environmental random effects from gllvm object — getEnvironCov.gllvm","text":"Function returns following components: cov species covariances due covariates trace.randomB trace covariance matrix due random canonical coefficients trace.randomB.quad trace covariance matrix components due squared model terms trace.col.eff trace covariance matrix due random column (species) effects","code":""},{"path":"/reference/getEnvironCov.gllvm.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Extract species covariances due to environmental random effects from gllvm object — getEnvironCov.gllvm","text":"Species covariance matrix due environment calculated. Covariances due covariates can calculated random effects included model, thus limited reduced rank models (including constrained concurrent ordinations) fitted random slopes, models fitted random effects via formula interface, fourth corner model fitted random slopes. full rank models random slopes, .e., formula interface fourth corner model, covariances species formulated : $$\\Sigma_e = kronecker(C\\rho + (1-\\rho)I_p, R),$$ \\(C\\) correlation matrix columns response (e.g., Phylogenetic matrix), \\(\\rho\\) signal parameter, R covariance matrix random effects. , $$= kronecker(I_p, x)$$, x vector covariate values random effects, defaults vector 1s. covariate-specific phylogenetic signal parameters model, instead: $$\\Sigma_e = kronecker(x_i', I_m)*bdiag(L_k)*kronecker(\\Sigma_r, I_m)*bdiag(L_k')*kronecker(x_i, I_m),$$ \\(bdiag(L_k)\\) block-diagonal lower triangular matrix, \\(L_k\\) lower triangular matrix covariance matrix covariate. reduced rank models, covariance separately defined different variance structures canonical coefficients package. LV-specific variances, : $$\\Sigma_e = \\Theta*S*\\Theta',$$ \\(\\Theta\\) matrix loadings, S (diagonal) covariance matrix canonical coefficients. predictor-specific variances, instead : $$\\Sigma_e = \\sum^K_{k=1} \\Theta(I_d*\\sigma_k^2)\\Theta',$$ I_d identity matrix number constrained informed latent variables, \\(\\sigma_k^2\\) variance per predictor canonical coefficients.","code":""},{"path":[]},{"path":"/reference/getEnvironCov.gllvm.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Extract species covariances due to environmental random effects from gllvm object — getEnvironCov.gllvm","text":"Bert van der Veen","code":""},{"path":"/reference/getEnvironCov.gllvm.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Extract species covariances due to environmental random effects from gllvm object — getEnvironCov.gllvm","text":"","code":"if (FALSE) { # \\dontrun{ # Example with the spider dataset data(eSpider) y = eSpider$abund[eSpider$nonNA,] X = eSpider$X[eSpider$nonNA,] fit <- gllvm(y, X = scale(X), num.RR = 2, randomB = \"P\", family = \"negative.binomial\") envcov <- getEnvironCov(fit) envcov$trace.randomB # As proportion of variance in the model envcov$trace.randomB/sum(envcov$trace.randomB) } # }"},{"path":"/reference/getLoadings.gllvm.html","id":null,"dir":"Reference","previous_headings":"","what":"Extract loadings — getLoadings.gllvm","title":"Extract loadings — getLoadings.gllvm","text":"Extract loadings (species scores) gllvm object.","code":""},{"path":"/reference/getLoadings.gllvm.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Extract loadings — getLoadings.gllvm","text":"","code":"# S3 method for class 'gllvm' getLoadings(object, ...)"},{"path":"/reference/getLoadings.gllvm.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Extract loadings — getLoadings.gllvm","text":"object object class 'gllvm'. ... used","code":""},{"path":"/reference/getLoadings.gllvm.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Extract loadings — getLoadings.gllvm","text":"Function retrieves loadings .k.. species scores GLLVM. optima quadratic response model, see optima.gllvm","code":""},{"path":"/reference/getLV.gllvm.html","id":null,"dir":"Reference","previous_headings":"","what":"Extract latent variables — getLV.gllvm","title":"Extract latent variables — getLV.gllvm","text":"Extract latent variables gllvm object.","code":""},{"path":"/reference/getLV.gllvm.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Extract latent variables — getLV.gllvm","text":"","code":"# S3 method for class 'gllvm' getLV(object, type = NULL, ...)"},{"path":"/reference/getLV.gllvm.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Extract latent variables — getLV.gllvm","text":"object object class 'gllvm'. type type latent variable scores retrieve gllvm object. models unconstrained latent variables, defaults \"residual\". models constrained latent variables, defaults conditional. Alternatively, \"marginal\" returns linear combination scores without residual error. ... used","code":""},{"path":"/reference/getLV.gllvm.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Extract latent variables — getLV.gllvm","text":"Function retrieves site scores GLLVM. type corresponds separate term model. GLLVM unconstrained latent variables default \"residual\". \"Residual\" scores represent error term concurrent ordination, available constrained ordination. GLLVMs informed latent variables, \"conditional\" returns complete site scores, due fixed- latent effects, latent effect always scaled diagonal species loadings can small relative fixed-effects. \"Conditional\" means conditional random-effect .e. residual. Type \"marginal\" returns linear combination scores, .e. site scores due fixed-effects. available constrained concurrent ordination. unconstrained constrained latent variables included model, type \"marginal\" returns linear combination scores constrained latent variables \"residual\" scores unconstrained latent variables.","code":""},{"path":"/reference/getPredictErr.gllvm.html","id":null,"dir":"Reference","previous_headings":"","what":"Extract prediction errors for latent variables from gllvm object — getPredictErr.gllvm","title":"Extract prediction errors for latent variables from gllvm object — getPredictErr.gllvm","text":"Calculates prediction errors latent variables random effects gllvm model.","code":""},{"path":"/reference/getPredictErr.gllvm.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Extract prediction errors for latent variables from gllvm object — getPredictErr.gllvm","text":"","code":"# S3 method for class 'gllvm' getPredictErr(object, CMSEP = TRUE, cov = FALSE, ...)"},{"path":"/reference/getPredictErr.gllvm.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Extract prediction errors for latent variables from gllvm object — getPredictErr.gllvm","text":"object object class 'gllvm'. CMSEP logical, TRUE conditional mean squared errors predictions calculated. FALSE, prediction errors based covariances variational distributions method =\"VA\" method =\"EVA\". cov TRUE, return covariances/variances predictions. Otherwise FALSE (default) return standard errors predictions. ... used","code":""},{"path":"/reference/getPredictErr.gllvm.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Extract prediction errors for latent variables from gllvm object — getPredictErr.gllvm","text":"Function returns following components: lvs prediction errors latent variables row.effects prediction errors random row effects included","code":""},{"path":"/reference/getPredictErr.gllvm.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Extract prediction errors for latent variables from gllvm object — getPredictErr.gllvm","text":"Calculates conditional mean squared errors predictions. variational approximation used, prediction errors can based covariances variational distributions, therefore take account uncertainty estimation (fixed) parameters.","code":""},{"path":"/reference/getPredictErr.gllvm.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Extract prediction errors for latent variables from gllvm object — getPredictErr.gllvm","text":"Francis K.C. Hui, Jenni Niku, David . Warton","code":""},{"path":"/reference/getPredictErr.gllvm.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Extract prediction errors for latent variables from gllvm object — getPredictErr.gllvm","text":"","code":"if (FALSE) { # \\dontrun{ # Load a dataset from the mvabund package data(antTraits, package = \"mvabund\") y <- as.matrix(antTraits$abund) # Fit gllvm model fit <- gllvm(y = y, family = poisson()) # prediction errors for latent variables: getPredictErr(fit) } # }"},{"path":"/reference/getResidualCor.gllvm.html","id":null,"dir":"Reference","previous_headings":"","what":"Extract residual correlations from gllvm object — getResidualCor.gllvm","title":"Extract residual correlations from gllvm object — getResidualCor.gllvm","text":"Calculates residual correlation matrix gllvm model.","code":""},{"path":"/reference/getResidualCor.gllvm.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Extract residual correlations from gllvm object — getResidualCor.gllvm","text":"","code":"# S3 method for class 'gllvm' getResidualCor(object, adjust = 1, site.index = NULL, ...)"},{"path":"/reference/getResidualCor.gllvm.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Extract residual correlations from gllvm object — getResidualCor.gllvm","text":"object object class 'gllvm'. adjust type adjustment used negative binomial binomial distribution computing residual correlation matrix. Options 0 (adjustment), 1 (default adjustment) 2 (alternative adjustment NB distribution). See details. site.index site index used used calculation GLLVM quadratic response model, residual correlations calculated. ... used","code":""},{"path":"/reference/getResidualCor.gllvm.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Extract residual correlations from gllvm object — getResidualCor.gllvm","text":"Residual correlation matrix calculated based residual covariance matrix, see details getResidualCov.gllvm.","code":""},{"path":"/reference/getResidualCor.gllvm.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Extract residual correlations from gllvm object — getResidualCor.gllvm","text":"Francis K.C. Hui, Jenni Niku, David . Warton","code":""},{"path":"/reference/getResidualCor.gllvm.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Extract residual correlations from gllvm object — getResidualCor.gllvm","text":"","code":"#'# Extract subset of the microbial data to be used as an example data(microbialdata) y <- microbialdata$Y[, order(colMeans(microbialdata$Y > 0), decreasing = TRUE)[21:40]] fit <- gllvm(y, family = poisson()) fit$logL #> [1] -4242.668 cr <- getResidualCor(fit) cr[1:5,1:5] #> OTU_79 OTU_164 OTU_462 OTU_95 OTU_833 #> OTU_79 1.0000000 0.3887252 0.3422382 -0.7491377 0.9955697 #> OTU_164 0.3887252 1.0000000 0.9987528 -0.9015266 0.4736348 #> OTU_462 0.3422382 0.9987528 1.0000000 -0.8787967 0.4290705 #> OTU_95 -0.7491377 -0.9015266 -0.8787967 1.0000000 -0.8081033 #> OTU_833 0.9955697 0.4736348 0.4290705 -0.8081033 1.0000000 if (FALSE) { # \\dontrun{ # Load a dataset from the mvabund package data(antTraits, package = \"mvabund\") y <- as.matrix(antTraits$abund) # Fit gllvm model fit <- gllvm(y = y, family = poisson()) # residual correlations: cr <- getResidualCor(fit) # Plot residual correlations: install.packages(\"corrplot\", \"gclus\") library(corrplot) library(gclus) corrplot(cr[order.single(cr), order.single(cr)], diag = F, type = \"lower\", method = \"square\", tl.cex = 0.8, tl.srt = 45, tl.col = \"red\") } # }"},{"path":"/reference/getResidualCov.gllvm.html","id":null,"dir":"Reference","previous_headings":"","what":"Extract residual covariance matrix from gllvm object — getResidualCov.gllvm","title":"Extract residual covariance matrix from gllvm object — getResidualCov.gllvm","text":"Calculates residual covariance matrix gllvm model.","code":""},{"path":"/reference/getResidualCov.gllvm.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Extract residual covariance matrix from gllvm object — getResidualCov.gllvm","text":"","code":"# S3 method for class 'gllvm' getResidualCov(object, adjust = 1, site.index = NULL, ...)"},{"path":"/reference/getResidualCov.gllvm.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Extract residual covariance matrix from gllvm object — getResidualCov.gllvm","text":"object object class 'gllvm'. adjust type adjustment used negative binomial, binomial normal distribution computing residual correlation matrix. Options 0 (adjustment), 1 (default adjustment) 2 (alternative adjustment NB distribution), see details. site.index site index, vector length one 1, used calculation GLLVM quadratic response model. ... used.","code":""},{"path":"/reference/getResidualCov.gllvm.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Extract residual covariance matrix from gllvm object — getResidualCov.gllvm","text":"Function returns following components: cov residual covariance matrix trace trace residual covariance matrix, total variance explained var.q trace residual covariance matrix per latent variable, variance explained per latent variable var.q2 trace squared term residual covariance matrix per latent variable, quadratic responses. Variance explained per latent variable quadratic term","code":""},{"path":"/reference/getResidualCov.gllvm.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Extract residual covariance matrix from gllvm object — getResidualCov.gllvm","text":"Residual covariance matrix, storing information species co-occurrence explained environmental variables (included), calculated using matrix latent variables loadings, , \\(\\Theta\\Theta'\\), dispersion parameter related distribution choice, applicable (e.g. case negative-binomial distributed responses). responses modelled using negative binomial distribution, residual variances species must adjusted overdispersion. two possible adjustment terms \\(log(\\phi_j + 1)\\) (adjust = 1) \\(\\psi^{(1)}(1/\\phi_j)\\) (adjust = 2), \\(\\psi^{(1)}\\) trigamma function. negative binomial model can written using different parameterizations. residual covariance adjust = 1 can obtained using lognormal-Poisson parametrization, , $$Y_{ij} \\sim Poisson(\\mu_{ij} \\lambda_j),$$ \\(\\lambda_j \\sim lognormal(-\\sigma^2/2, \\sigma^2)\\) \\(\\sigma^2 = log(\\phi_j + 1)\\) \\(log(\\mu_{ij}) = \\eta_{ij}\\). Now \\(E[Y_{ij}] = \\mu_{ij}\\) variance \\(V(\\mu_{ij}) = \\mu_{ij} + \\mu_{ij}^2 (exp(\\sigma^2) - 1) = \\mu_{ij} + \\mu_{ij}^2 \\phi_j\\), NB distribution. Therefore, linear predictor scale, variance $$V(log(\\mu_{ij} \\lambda_j)) = V(log\\mu_{ij}) + V(log\\lambda_j) = V(u_i'\\theta_j) + \\sigma^2 = \\theta_j'\\theta_j + log(\\phi_j + 1).$$ leads residual covariance matrix \\(\\Theta \\Theta' + \\Psi\\), \\(\\Psi\\) diagonal matrix \\(log(\\phi_j + 1)\\) diagonal elements (adjust = 1). , GLLVM species quadratic function latent variables, instead $$V(log(\\mu_{ij} \\lambda_j)) = V(log\\mu_{ij}) + V(log\\lambda_j) = V(u_i'\\theta_j-u_i' D_j u_i) + \\sigma^2 $$ $$ = \\theta_j'\\theta_j + 2diag(D_j)'diag(D_j)log(\\phi_j + 1).$$ leads residual covariance matrix \\(\\Theta \\Theta' + 2 \\Gamma_j \\Gamma_j' + diag(\\Phi)\\), \\(\\Gamma_j\\) holds quadratic coefficients. Since quadratic coefficients constrained positive, residual covariance latter case , given coefficients linear term, equal positive linear case. residual covariance matrix adjust = 2 can obtained using Poisson-Gamma parametri-zation $$Y_{ij} \\sim Poisson(\\mu_{ij} \\lambda_j),$$ \\(\\lambda_j \\sim Gamma(1/\\phi_j, 1/\\phi_j)\\) \\(\\mu_{ij}\\) . mean variance similar form $$V(log(\\mu_{ij} \\lambda_j)) = V(log\\mu_{ij}) + V(log\\lambda_j) = \\theta_j'\\theta_j + \\psi^{(1)}(1/\\phi_j),$$ \\(\\psi^{(1)}\\) trigamma function. case binomial distribution, adjustment terms (adjust = 1) 1 probit link \\(\\pi^2/3\\) logit link. obtained treating binomial model latent variable model. Assume $$Y^*_{ij} = \\eta_{ij} + e_{ij},$$ \\(e_{ij} \\sim N(0, 1)\\) probit model, \\(e_{ij} \\sim logistic(0, 1)\\) logit model. binary response defined \\(Y_{ij} = 1\\), \\(Y^*_{ij} > 0\\) 0 otherwise. Now \\(\\mu_{ij} = P(Y_{ij} = 1) = P(Y^*_{ij} > 0) = P(\\eta_{ij} > -e_{ij}) = P(e_{ij} <= \\eta_{ij})\\) leads probit logit models. linear predictor scale $$V(\\eta_{ij} + e_{ij}) = V(\\eta_{ij}) + V(e_{ij}).$$ probit model, residual covariance matrix \\(\\Theta\\Theta' + I_m\\), logit model \\(\\Theta\\Theta' + \\pi^2/3 I_m\\). Similarly , GLLVM species quadratic function latent variables, term \\(2\\Gamma_j\\Gamma_j'\\) added residual covariance matrix. normal distribution, can write $$Y_{ij} = \\eta_{ij} + e_{ij},$$ \\(e_{ij} \\sim N(0, \\phi_j^2)\\) thus $$V(\\eta_{ij} + e_{ij}) = V(\\eta_{ij}) + V(e_{ij}).$$ gaussian model, residual covariance matrix \\(\\Theta\\Theta' + diag(\\Phi^2)\\).","code":""},{"path":"/reference/getResidualCov.gllvm.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Extract residual covariance matrix from gllvm object — getResidualCov.gllvm","text":"Francis K.C. Hui, Jenni Niku, David . Warton, Bert van der Veen","code":""},{"path":"/reference/getResidualCov.gllvm.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Extract residual covariance matrix from gllvm object — getResidualCov.gllvm","text":"","code":"if (FALSE) { # \\dontrun{ # Load a dataset from the mvabund package data(antTraits, package = \"mvabund\") y <- as.matrix(antTraits$abund) # Fit gllvm model fit <- gllvm(y = y, family = poisson()) # residual covariance: rescov <- getResidualCov(fit) rescov$cov # Trace of the covariance matrix rescov$trace # Variance explained per latent variable rescov$var.q } # }"},{"path":"/reference/gllvm.html","id":null,"dir":"Reference","previous_headings":"","what":"Generalized Linear Latent Variable Models — gllvm","title":"Generalized Linear Latent Variable Models — gllvm","text":"Fits generalized linear latent variable model multivariate data. model can fitted using Laplace approximation method variational approximation method.","code":""},{"path":"/reference/gllvm.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generalized Linear Latent Variable Models — gllvm","text":"","code":"gllvm( y = NULL, X = NULL, TR = NULL, data = NULL, formula = NULL, family, num.lv = NULL, num.lv.c = 0, num.RR = 0, lv.formula = NULL, lvCor = NULL, studyDesign = NULL, dist = list(matrix(0)), distLV = matrix(0), colMat = NULL, colMat.rho.struct = \"single\", corWithin = FALSE, corWithinLV = FALSE, quadratic = FALSE, row.eff = FALSE, sd.errors = TRUE, offset = NULL, method = \"VA\", randomB = FALSE, randomX = NULL, beta0com = FALSE, zeta.struc = \"species\", plot = FALSE, link = \"probit\", Ntrials = 1, Power = 1.1, seed = NULL, scale.X = TRUE, return.terms = TRUE, gradient.check = FALSE, disp.formula = NULL, control = list(reltol = 1e-08, reltol.c = 1e-08, TMB = TRUE, optimizer = ifelse((num.RR + num.lv.c) == 0 | randomB != FALSE, \"optim\", \"alabama\"), max.iter = 6000, maxit = 6000, trace = FALSE, optim.method = NULL, nn.colMat = 10), control.va = list(Lambda.struc = \"unstructured\", Ab.struct = ifelse(is.null(colMat), \"blockdiagonal\", \"MNunstructured\"), Ab.struct.rank = 1, Ar.struc = \"diagonal\", diag.iter = 1, Ab.diag.iter = 0, Lambda.start = c(0.3, 0.3, 0.3), NN = 3), control.start = list(starting.val = \"res\", n.init = 1, n.init.max = 10, jitter.var = 0, jitter.var.br = 0, start.fit = NULL, start.lvs = NULL, randomX.start = \"res\", quad.start = 0.01, start.struc = \"LV\", scalmax = 10, MaternKappa = 1.5, rangeP = NULL), setMap = NULL, ... )"},{"path":"/reference/gllvm.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generalized Linear Latent Variable Models — gllvm","text":"y (n x m) matrix responses. X matrix data.frame environmental covariates. TR matrix data.frame trait covariates. data data long format, , matrix responses, environmental trait covariates row index named \"id\". used, model needs defined using formula. alternative data input y, X TR. formula object class \"formula\" (one can coerced class): symbolic description model fitted (fixed-effects predictors). family distribution function responses. Options \"negative.binomial\" (log link), poisson(link = \"log\"), binomial(link = \"probit\") (also link = \"logit\" method = \"LA\" method = \"EVA\"), zero-inflated poisson (\"ZIP\"), zero-inflated negative-binomial (\"ZINB\"), gaussian(link = \"identity\"), Tweedie (\"tweedie\") (log link, \"LA\" \"EVA\"-method), \"gamma\" (log link), \"exponential\" (log link), beta (\"beta\") (logit probit link, \"LA\" \"EVA\"-method), \"ordinal\" (\"VA\" \"EVA\"-method), beta hurdle \"betaH\" (\"VA\" \"EVA\"-method) \"orderedBeta\" (\"VA\" \"EVA\"-method). Note: \"betaH\" \"orderedBeta\" \"VA\"-method actually fitted using hybrid approach EVA applied beta distribution part likelihood. num.lv number latent variables, d, gllvm model. Non-negative integer, less number response variables (m). Defaults 2, num.lv.c=0 num.RR=0, otherwise 0. num.lv.c number latent variables, d, gllvm model inform, .e., residual term. Non-negative integer, less number response (m) equal , less , number predictor variables (k). Defaults 0. Requires specification \"lv.formula\" combination \"X\" \"datayx\". Can used combination num.lv fixed-effects, traits. num.RR number latent variables, d, gllvm model constrain, without residual term (reduced rank regression). yet combined traits. lv.formula object class \"formula\" (one can coerced class): symbolic description model fitted (latent variables). lvCor (development, used moment!) correlation structure latent variables, defaults NULL Correlation structure latent variables can defined via formula, eg. ~struc(1|groups), option 'struc' corAR1 (AR(1) covariance), corExp (exponentially decaying, see argument 'dist') corCS (compound symmetry). grouping variable needs included either 'X' 'studyDesign'. Works moment unconstrained ordination without quadratic term. studyDesign variables related eg. sampling/study design, used defining correlation structure latent variables row effects. dist list length equal number row effects correlation structure corExp holds matrix coordinates time points. distLV matrix coordinates time points used LV correlation structure corExp. colMat either list length 2 matrix similarity column effects named matrix \"dist\" pairwise distances (columns, use selecting nearest neighbours) sparse approximation matrix inverse likelihood, (p.d.) matrix similarity column effects normal inverse calculation. colMat.rho.struct either single (default) term indicating whether signal parameter shared covariates, . corWithin logical. Vector length equal number row effects. structured row effects correlation, TRUE, correlation set row effects observation units within group. Correlation groups can defined using row.eff. Defaults FALSE, correlation set row parameters groups. corWithinLV logical. LVs correlation, TRUE, correlation set rows observation units within group. Defaults FALSE, correlation set rows groups. quadratic either FALSE(default), TRUE, LV. FALSE models species responses linear function latent variables. TRUE models species responses quadratic function latent variables. LV assumes species quadratic coefficient per latent variable. row.eff FALSE, fixed, \"random\" formula define structure row parameters. Indicating whether row effects included model fixed random effects. Defaults FALSE row effects included. Structured random row effects can defined via formula, eg. ~(1|groups), unique row effects set group, rows, grouping variable needs included X. Correlation structure random group effects/intercepts can also set using ~struc(1|groups), option 'struc' corAR1 (AR(1) covariance), corExp (exponentially decaying, see argument 'dist') corCS (compound symmetry). Correlation structure can set within groups, see argument 'corWithin'. sd.errors logical. TRUE (default) standard errors parameter estimates calculated. offset vector matrix offset terms. method model can fitted using Laplace approximation method (method = \"LA\") variational approximation method (method = \"VA\"), extended variational approximation method (method = \"EVA\") VA applicable. particular model implemented using selected method, model fitted using alternative method default. Defaults \"VA\". randomB either FALSE(default), \"LV\", \"P\", \"single\", \"iid\". Fits concurrent constrained ordination (.e. models num.lv.c num.RR) random slopes predictors. \"LV\" assumes LV-specific variance parameters, \"P\" predictor specific, \"single\" across LVs predictors. randomX formula species specific random effects environmental variables fourth corner model. Defaults NULL, random slopes included. beta0com logical. FALSE column-specific intercepts assumed. TRUE, column-specific intercepts collected common value. zeta.struc structure cut-offs ordinal model. Either \"common\", cut-offs species, \"species\" species-specific cut-offs. latter, classes arbitrary per species, category per species needs least one observations. Defaults \"species\". plot logical. TRUE ordination plots printed iteration step TMB = FALSE. Defaults FALSE. link link function binomial family method = \"LA\" beta family. Options \"logit\" \"probit\". Ntrials number trials binomial family. Power fixed power parameter Tweedie model. Scalar interval (1,2). Defaults 1.1. set NULL estimated (note: experimental). seed single seed value, defaults NULL. scale.X logical. TRUE, covariates scaled fourth corner model fitted. return.terms logical. TRUE 'terms' object returned. gradient.check logical. TRUE gradients checked large values (>0.01) even optimization algorithm converge. disp.formula formula, alternatively vector indices, grouping dispersion parameters (e.g. negative-binomial distribution). Defaults NULL species dispersion parameter. allowed include categorical variables. formula, data included named rows y. control list following arguments controlling optimization: reltol: convergence criteria log-likelihood, defaults 1e-8. reltol.c: convergence criteria equality constraints ordination predictors, defaults 1e-8. TMB: logical, TRUE model fitted using Template Model Builder (TMB). TMB always used method = \"LA\". Defaults TRUE. optimizer: TMB=TRUE, log-likelihood can optimized using \"optim\" (default) \"nlminb\". ordination predictors (num.RR>0 num.lv.c>0) can additionally one alabama(default), nloptr(agl) nloptr(sqp). max.iter: maximum number iterations TMB = FALSE optimizer = \"nlminb\" TMB = TRUE, defaults 6000. maxit: maximum number iterations optimizer, defaults 6000. trace: logical, TRUE iteration step information current step printed. Defaults FALSE. TMB = FALSE. optim.method: optimization method used optimizer \"optim\",\"alabama\", \"nloptr\", latter two available combination least two latent variables (.e., num.RR+num.lv.c>1). Defaults \"BFGS\", \"L-BFGS-B\" Tweedie family due limited-memory use. optimizer='alabama' can \"optim\" method, \"nlminb\". optimizer = 'nloptr(agl)' can one : \"NLOPT_LD_CCSAQ\", \"NLOPT_LD_SLSQP\", \"NLOPT_LD_TNEWTON_PRECOND\" (default), \"NLOPT_LD_TNEWTON\", \"NLOPT_LD_MMA\". nn.colMat: number nearest neighbours calculating inverse \"colMat\", defaults 10. set number columns response data, standard inverse used instead. control.va list following arguments controlling variational approximation method: Lambda.struc: covariance structure VA distributions latent variables method = \"VA\", \"unstructured\" \"diagonal\". Ab.struct: covariance structure VA distributions random slopes method = \"VA\", ordered terms complexity: \"diagonal\", \"MNdiagonal\" (colMat), \"blockdiagonal\" (default without colMat), \"MNunstructured\" (default, colMat), \"diagonalCL1\" ,\"CL1\" (colMat), \"CL2\" (colMat),\"diagonalCL2\" (colMat), \"unstructured\" (colMat) Ab.struct.rank: number columns cholesky variational covariance matrix use, defaults 1. applicable \"MNunstructured\", \"diagonalCL1\", \"CL1\",\"diagonalCL2\", \"unstructured\". Ar.struc: covariance structure VA distributions random row effects method = \"VA\", \"unstructured\" \"diagonal\". Defaults \"diagonal\". diag.iter: non-negative integer can sometimes used speed updating variational (covariance) parameters VA method. Can sometimes improve accuracy. TMB = TRUE either 0 1. Defaults 1. Ab.diag.iter: , variational covariance random slopes. Lambda.start: starting values variances VA distributions latent variables, random row effects random slopes variational approximation method. Defaults 0.3. NN: Number nearest neighbors NN variational covariance. Defaults ... control.start list following arguments controlling starting values: starting.val: starting values can generated fitting model without latent variables, applying factorial analysis residuals get starting values latent variables coefficients (starting.val = \"res\"). Another options use zeros starting values (starting.val = \"zero\") initialize starting values latent variables (n x num.lv) matrix. Defaults \"res\", recommended. n.init: number initial runs. Uses multiple runs picks one giving highest log-likelihood value. Defaults 1. n.init.max: maximum number refits try try n.init without improvement, defaults 10. start.fit: object class 'gllvm' can given starting parameters count data (poisson, NB, ZIP). start.lvs: initialize starting values latent variables (n x num.lv) matrix. Defaults NULL. jitter.var: jitter variance starting values latent variables. Defaults 0, meaning jittering. jitter.var.br: jitter variance starting values random slopes. Defaults 0, meaning jittering. randomX.start: starting value method random slopes. Options \"zero\" \"res\". Defaults \"res\". start.struc: starting value method quadratic term. Options \"LV\" (default) \"\". quad.start: starting values quadratic coefficients. Defaults 0.01. MaternKappa: Starting value smoothness parameter kappa Matern covariance function. Defaults 3/2. scalmax: Sets starting value scale parameter coordinates. Defaults 10, starting value scale parameter scales distances coordinates 0-10. rangeP: Sets starting value range parameter correlation structure. setMap DEVELOPMENT, USE! list set parameters fixed. Parameters fixed need defined factors. arguments may overwrite definitions. ... used.","code":""},{"path":"/reference/gllvm.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Generalized Linear Latent Variable Models — gllvm","text":"object class \"gllvm\" includes following components: call function call y (n x m) matrix responses. X matrix data.frame environmental covariates. X.design design matrix environmental covariates. lv.X design matrix data.frame environmental covariates latent variables. lv.X.design design matrix data.frame environmental covariates latent variables. TR Trait matrix formula Formula predictors lv.formula Formula latent variables constrained concurrent ordination randomX Formula species specific random effects fourth corner model randomB Boolean flag random slopes constrained concurrent ordination num.lv Number unconstrained latent variables num.lv.c Number latent variables concurrent ordination num.RR Number latent variables constrained ordination Ntrials Number trials binomial model method Method used integration family Response distribution row.eff Type row effect used n.init Number model runs best fit disp.group Groups dispersion parameters sd List standard errors lvs Latent variables params List parameters theta latent variables' loadings relative diagonal entries loading matrix sigma.lv diagonal entries latent variables' loading matrix LvXcoef Predictor coefficients (predictions random slopes) related latent variables, .e. canonical coefficients beta0 column specific intercepts Xcoef coefficients related environmental covariates X B coefficients fourth corner model, RE means Br column random effects sigmaB scale parameters column-specific random effects rho.sp (positive) correlation parameter influence strength \"colMat\" row.params row-specific intercepts sigma scale parameters row-specific random effects phi dispersion parameters \\(\\phi\\) negative binomial Tweedie family, probability zero inflation ZIP family, standard deviation gaussian family shape parameter gamma/beta family inv.phi dispersion parameters \\(1/\\phi\\) negative binomial Power power parameter \\(\\nu\\) Tweedie family sd list standard errors parameters prediction.errors list prediction covariances latent variables variances random row effects method \"LA\" used , Ar, Ab_lv, spArs covariance matrices variational densities latent variables, random row effects, random slopes, colum effects respectively seed Seed used calculating starting values TMBfn TMB objective derivative functions logL log likelihood convergence convergence code optimizer quadratic flag quadratic model Hess List holding matrices second derivatives beta0com Flag common intercept cstruc Correlation structure row effects cstruclv Correlation structure LVs dist Matrix coordinates time points used row effects distLV Matrix coordinates time points used LVs col.eff list components column random effects Ab.struct variational covariance structure fitted model Ab.struct.rank fitted rank variational covariance matrix col.eff flag indicating column random effects included spdr design matrix colMat.rho.struct character vector signal parameter terms Terms object main predictors start starting values model optim.method Optimization method using 'optim', 'alabama', 'nloptr'","code":""},{"path":"/reference/gllvm.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Generalized Linear Latent Variable Models — gllvm","text":"Fits generalized linear latent variable models Hui et al. (2015 2017) Niku et al. (2017). Method can used two types latent variable models depending covariates. site related environmental covariates used, expectation response \\(Y_{ij}\\) determined $$g(\\mu_{ij}) = \\eta_{ij} = \\alpha_i + \\beta_{0j} + x_i'\\beta_j + u_i'\\theta_j,$$ \\(g(.)\\) known link function, \\(u_i\\) \\(d\\)-variate latent variables (\\(d\\)<<\\(m\\)), \\(\\alpha_i\\) optional row effect site \\(\\), can fixed random effect (also structures possible, see ), \\(\\beta_{0j}\\) intercept term species \\(j\\), \\(\\beta_j\\) \\(\\theta_j\\) column specific coefficients related covariates latent variables, respectively. Models implemented using TMB (Kristensen et al., 2015) applied variational approximation (Hui et al., 2017), extended variational approximation (Korhonen et al., 2021) Laplace approximation (Niku et al., 2017). ordinal family response classes must start 0 1.","code":""},{"path":"/reference/gllvm.html","id":"quadratic-model","dir":"Reference","previous_headings":"","what":"Quadratic model","title":"Generalized Linear Latent Variable Models — gllvm","text":"Alternatively, complex version model can fitted quadratic = TRUE, species modeled quadratic function latent variables: $$g(\\mu_{ij}) = \\eta_{ij} = \\alpha_i + \\beta_{0j} + x_i'\\beta_j + u_i'\\theta_j - u_i' D_j u_i$$. , D_j diagonal matrix positive quadratic coefficients, model generates concave shapes . implementation follows ecological theoretical model species generally recognized exhibit non-linear response curves. model quadratic responses, quadratic coefficients assumed species: $$D_j = D$$. model requires less information per species can expected applicable datasets. quadratic coefficients D can used calculate length ecological gradients. quadratic responses, can useful provide latent variables estimated GLLVM linear responses, estimated (Detrended) Correspondence Analysis. latent variables can passed start.lvs argument inside control.start list, many cases gives good results.","code":""},{"path":"/reference/gllvm.html","id":"ordination-with-predictors","dir":"Reference","previous_headings":"","what":"Ordination with predictors","title":"Generalized Linear Latent Variable Models — gllvm","text":"GLLVMs linear quadratic response model, series predictors \\(x_{lv}\\) can included explain latent variables: $$g(\\mu_{ij}) = \\alpha_i + \\beta_{0j} + x_i'\\beta_j + (B' x_{lv,} + \\epsilon_i)' \\gamma_j - (B' x_{lv,} + \\epsilon_i)' D_j (B' x_{lv,} + \\epsilon_i) ,$$ \\(z_i = B' x_{lv,} + \\epsilon_i\\) latent variables informed predictors, constrained compared unconstrained ordination methods CCA RDA. Omitting predictors results unconstrained ordination, omitting \\(\\epsilon_i\\) usual constrained ordination, can also fitted.","code":""},{"path":"/reference/gllvm.html","id":"fourth-corner-model","dir":"Reference","previous_headings":"","what":"Fourth corner model","title":"Generalized Linear Latent Variable Models — gllvm","text":"alternative model fourth corner model (Brown et al., 2014, Warton et al., 2015) fitted also trait covariates included. expectation response \\(Y_{ij}\\) $$g(\\mu_{ij}) = \\alpha_i + \\beta_{0j} + x_i'(\\beta_x + b_j) + TR_j'\\beta_t + vec(B)*kronecker(TR_j,X_i) + u_i'\\theta_j - u_i'D_ju_i$$ g(.), \\(u_i\\), \\(\\beta_{0j}\\) \\(\\theta_j\\) defined . Vectors \\(\\beta_x\\) \\(\\beta_t\\) main effects coefficients related environmental trait covariates, respectively, matrix \\(B\\) includes interaction terms. Vectors \\(b_j\\) optional species-specific random slopes environmental covariates. interaction/fourth corner terms optional well main effects trait covariates.","code":""},{"path":"/reference/gllvm.html","id":"structured-row-effects","dir":"Reference","previous_headings":"","what":"Structured row effects","title":"Generalized Linear Latent Variable Models — gllvm","text":"addition site-specific random effects, \\(\\alpha_i\\), also possible set arbitrary structure/design row effects. , assume observations / rows \\(=1,...,n\\) data matrix groups \\(t=1,...,T\\), row \\(\\) belongs one groups, denote \\(G() \\\\{1,...,T\\}\\). group \\(t\\) number observations \\(n_t\\), \\(\\sum_{t=1}^{T} n_t =n\\). Now can set random intercept group \\(t\\), (see argument 'row.eff'): $$g(\\mu_{ij}) = \\eta_{ij} = \\alpha_{G()} + \\beta_{0j} + x_i'\\beta_j + u_i'\\theta_j,$$ also possibility set correlation structure random intercepts groups, \\((\\alpha_{1},...,\\alpha_{T})^\\top \\sim N(0, \\Sigma_r)\\). might case, example, groups spatially temporally dependent. Another option set row specific random intercepts \\(\\alpha_i\\), set correlation structure observations within groups, (see argument 'corWithin'). , can set \\(corr(\\alpha_{},\\alpha_{'}) = C(,') \\neq 0\\) according correlation function \\(C\\), \\(G()=G(')\\). model restricted case, group equal number observations (rows), \\(n_t=n_{t'}\\) \\(t,t' \\\\{1,...,T\\}\\). correlation structures available package corAR1 autoregressive process order 1. corExp exponentially decaying, see argument 'dist'. corCS compound symmetry.","code":""},{"path":"/reference/gllvm.html","id":"starting-values","dir":"Reference","previous_headings":"","what":"Starting values","title":"Generalized Linear Latent Variable Models — gllvm","text":"method sensitive choices initial values latent variables. Therefore recommendable use multiple runs pick one giving highest log-likelihood value (see argument 'n.init'). However, sometimes computationally demanding, default option starting.val = \"res\" recommended. details different starting value methods, see Niku et al., (2018).","code":""},{"path":"/reference/gllvm.html","id":"distributions","dir":"Reference","previous_headings":"","what":"Distributions","title":"Generalized Linear Latent Variable Models — gllvm","text":"Mean variance distributions defined follows. count data family = poisson(): Expectation \\(E[Y_{ij}] = \\mu_{ij}\\), variance \\(V(\\mu_{ij}) = \\mu_{ij}\\), family = \"negative.binomial\": Expectation \\(E[Y_{ij}] = \\mu_{ij}\\), variance \\(V(\\mu_{ij}) = \\mu_{ij}+\\mu_{ij}^2\\phi_j\\), family = \"ZIP\": Expectation \\(E[Y_{ij}] = (1-p)\\mu_{ij}\\), variance \\(V(\\mu_{ij}) = \\mu_{ij}(1-p_j)(1+\\mu_{ij}p)\\). family = \"ZINB\": Expectation \\(E[Y_{ij}] = (1-p)\\mu_{ij}\\), variance \\(V(\\mu_{ij}) = \\mu_{ij}(1-p_j)(1+\\mu_{ij}(\\phi_j+p_j))\\). binary data family = binomial(): Expectation \\(E[Y_{ij}] = \\mu_{ij}\\), variance \\(V(\\mu_{ij}) = \\mu_{ij}(1-\\mu_{ij})\\). percent cover data \\(0 < Y_{ij} < 1\\) family = \"beta\": Expectation \\(E[Y_{ij}] = \\mu_{ij}\\), variance \\(V(\\mu_{ij}) = \\mu_{ij}(1-\\mu_{ij})//(1+\\phi_j)\\). positive continuous data family = \"gamma\": Expectation \\(E[Y_{ij}] = \\mu_{ij}\\), variance \\(V(\\mu_{ij}) = \\mu_{ij}^2/\\phi_j\\), \\(\\phi_j\\) species specific shape parameter. non-negative continuous data family = \"exponential\": Expectation \\(E[Y_{ij}] = \\mu_{ij}\\), variance \\(V(\\mu_{ij}) = \\mu_{ij}^2\\). non-negative continuous biomass data family = \"tweedie\" Expectation \\(E[Y_{ij}] = \\mu_{ij}\\), variance \\(V(\\mu_{ij}) = \\phi_j*\\mu_{ij}^\\nu\\), \\(\\nu\\) power parameter Tweedie distribution. See details Dunn Smyth (2005). ordinal data family = \"ordinal\": Cumulative probit model, see Hui et.al. (2016). normal distributed data family = gaussian(): Expectation \\(E[Y_{ij}] = \\mu_{ij}\\), variance \\(V(y_{ij}) = \\phi_j^2.\\)","code":""},{"path":"/reference/gllvm.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Generalized Linear Latent Variable Models — gllvm","text":"function gives warning: 'f(x, order = 0) : value range 'lgamma”, optimizer visited area gradients become big. automatically fixed trying another step optimization process, can ignored errors occur.","code":""},{"path":"/reference/gllvm.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Generalized Linear Latent Variable Models — gllvm","text":"Brown, . M., Warton, D. ., Andrew, N. R., Binns, M., Cassis, G., Gibb, H. (2014). fourth-corner solution - using predictive models understand species traits interact environment. Methods Ecology Evolution, 5:344-352. Dunn, P. K. Smyth, G. K. (2005). Series evaluation tweedie exponential dispersion model densities. Statistics Computing, 15:267-280. Hui, F. K. C., Taskinen, S., Pledger, S., Foster, S. D., Warton, D. . (2015). Model-based approaches unconstrained ordination. Methods Ecology Evolution, 6:399-411. Hui, F. K. C., Warton, D., Ormerod, J., Haapaniemi, V., Taskinen, S. (2017). Variational approximations generalized linear latent variable models. Journal Computational Graphical Statistics. Journal Computational Graphical Statistics, 26:35-43. Kasper Kristensen, Anders Nielsen, Casper W. Berg, Hans Skaug, Bradley M. Bell (2016). TMB: Automatic Differentiation Laplace Approximation. Journal Statistical Software, 70(5), 1-21. Korhonen, P., Hui, F. K. C., Niku, J., Taskinen, S. (2021). Fast, universal estimation latent variable models using extended variational approximations. Stat Comput 33, 26 (2023). Niku, J., Warton, D. ., Hui, F. K. C., Taskinen, S. (2017). Generalized linear latent variable models multivariate count biomass data ecology. Journal Agricultural, Biological, Environmental Statistics, 22:498-522. Niku, J., Brooks, W., Herliansyah, R., Hui, F. K. C., Taskinen, S., Warton, D. . (2018). Efficient estimation generalized linear latent variable models. PLoS One, 14(5):1-20. Warton, D. ., Guillaume Blanchet, F., O'Hara, R. B., Ovaskainen, O., Taskinen, S., Walker, S. C. Hui, F. K. C. (2015). many variables: Joint modeling community ecology. Trends Ecology & Evolution, 30:766-779.","code":""},{"path":[]},{"path":"/reference/gllvm.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Generalized Linear Latent Variable Models — gllvm","text":"Jenni Niku , Wesley Brooks, Riki Herliansyah, Francis K.C. Hui, Pekka Korhonen, Sara Taskinen, Bert van der Veen, David . Warton","code":""},{"path":"/reference/gllvm.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Generalized Linear Latent Variable Models — gllvm","text":"","code":"# Extract subset of the microbial data to be used as an example data(microbialdata) X <- microbialdata$Xenv y <- microbialdata$Y[, order(colMeans(microbialdata$Y > 0), decreasing = TRUE)[21:40]] fit <- gllvm(y, X, formula = ~ pH + Phosp, family = poisson()) fit$logL #> [1] -4018.808 ordiplot(fit) coefplot(fit) # \\donttest{ # Inclusion of structured random row effect sDesign<-data.frame(Site = microbialdata$Xenv$Site) fit <- gllvm(y, X, formula = ~ pH + Phosp, family = poisson(), studyDesign=sDesign, row.eff=~(1|Site)) ## Load a dataset from the mvabund package library(mvabund) #> #> Attaching package: 'mvabund' #> The following object is masked from 'package:gllvm': #> #> coefplot data(antTraits, package = \"mvabund\") y <- as.matrix(antTraits$abund) X <- as.matrix(antTraits$env) TR <- antTraits$traits # Fit model with environmental covariates Bare.ground and Shrub.cover fit <- gllvm(y, X, formula = ~ Bare.ground + Shrub.cover, family = poisson()) ordiplot(fit) coefplot.gllvm(fit) ## Example 1: Fit model with two unconstrained latent variables # Using variational approximation: fitv0 <- gllvm(y, family = \"negative.binomial\", method = \"VA\") ordiplot(fitv0) plot(fitv0, mfrow = c(2,2)) summary(fitv0) #> #> Call: #> gllvm(y = y, family = \"negative.binomial\", method = \"VA\") #> #> Family: negative.binomial #> #> AIC: 4056.17 AICc: 4106.324 BIC: 4889.878 LL: -1865.1 df: 163 #> #> Informed LVs: 0 #> Constrained LVs: 0 #> Unconstrained LVs: 2 #> #> Formula: ~ 1 #> LV formula: ~ 0 confint(fitv0) #> 2.5 % 97.5 % #> sigma.lv.LV1 -0.101054520 1.85257413 #> sigma.lv.LV2 1.079578932 4.48472729 #> theta.LV1.1 1.000000000 1.00000000 #> theta.LV1.2 -3.369836924 3.61832887 #> theta.LV1.3 -1.020676845 2.93833281 #> theta.LV1.4 -0.677509762 1.54846484 #> theta.LV1.5 -0.460199165 2.15216832 #> theta.LV1.6 -2.595239166 1.44035981 #> theta.LV1.7 -0.921964395 2.06652878 #> theta.LV1.8 -6.308865233 1.21172423 #> theta.LV1.9 -1.587002683 5.80962347 #> theta.LV1.10 -0.558480393 0.96006157 #> theta.LV1.11 -0.994894799 1.37917755 #> theta.LV1.12 -0.699284590 2.72152491 #> theta.LV1.13 -1.196190724 0.15991813 #> theta.LV1.14 -1.105138881 4.00864981 #> theta.LV1.15 -1.108958700 0.73146299 #> theta.LV1.16 -0.653206772 1.48667904 #> theta.LV1.17 -1.781840019 0.71364295 #> theta.LV1.18 -0.928084351 1.19484660 #> theta.LV1.19 -1.532606979 0.26859879 #> theta.LV1.20 -2.287651301 0.40331968 #> theta.LV1.21 -3.196743471 1.07149186 #> theta.LV1.22 -0.365873699 1.80424897 #> theta.LV1.23 -3.327191292 1.19747175 #> theta.LV1.24 -2.421145103 0.63384256 #> theta.LV1.25 -1.105168385 1.40435943 #> theta.LV1.26 -1.357941543 4.40671446 #> theta.LV1.27 -2.050006131 0.21916166 #> theta.LV1.28 -2.560698153 0.76018611 #> theta.LV1.29 -3.324423376 1.97129068 #> theta.LV1.30 -4.788160345 1.56070785 #> theta.LV1.31 -1.012929893 0.15267236 #> theta.LV1.32 -1.691735472 1.09594412 #> theta.LV1.33 -0.210983552 1.09985766 #> theta.LV1.34 -1.667026576 1.01258435 #> theta.LV1.35 -0.596124303 1.33635731 #> theta.LV1.36 -0.985066088 0.19064344 #> theta.LV1.37 -2.768954659 0.48519243 #> theta.LV1.38 -1.876374696 0.67387483 #> theta.LV1.39 -0.521953234 2.41005968 #> theta.LV1.40 -0.374550987 1.19293425 #> theta.LV1.41 -2.474005601 0.60926507 #> theta.LV2.1 0.000000000 0.00000000 #> theta.LV2.2 1.000000000 1.00000000 #> theta.LV2.3 -0.245410669 0.60976361 #> theta.LV2.4 -0.058090401 0.36365924 #> theta.LV2.5 -0.652256739 0.04113870 #> theta.LV2.6 -0.107726475 0.67653905 #> theta.LV2.7 -0.151866782 0.42717997 #> theta.LV2.8 -1.416507224 0.76089128 #> theta.LV2.9 -0.322498960 1.41262112 #> theta.LV2.10 -0.392962572 -0.01054992 #> theta.LV2.11 -0.634745126 -0.10053729 #> theta.LV2.12 -0.504044002 0.43415965 #> theta.LV2.13 -0.161777296 0.20510906 #> theta.LV2.14 -0.221878503 0.87848770 #> theta.LV2.15 -0.471025812 -0.09694277 #> theta.LV2.16 -0.556198882 0.01509922 #> theta.LV2.17 -0.631661565 0.04542530 #> theta.LV2.18 -0.484010869 0.17681714 #> theta.LV2.19 -0.363823413 0.10587534 #> theta.LV2.20 -0.512549961 0.19530946 #> theta.LV2.21 -0.932254289 0.21005739 #> theta.LV2.22 -0.116267576 0.37719262 #> theta.LV2.23 -1.113872135 -0.04380816 #> theta.LV2.24 -0.696595194 0.13935504 #> theta.LV2.25 -0.721465153 0.18277040 #> theta.LV2.26 -0.423107729 0.70806454 #> theta.LV2.27 -0.372919415 0.22470612 #> theta.LV2.28 -0.756153818 0.04814946 #> theta.LV2.29 -1.545063896 0.10741661 #> theta.LV2.30 -0.307876348 0.93128757 #> theta.LV2.31 -0.211090731 0.07106664 #> theta.LV2.32 -0.014392424 0.58052603 #> theta.LV2.33 -0.254229514 0.10720520 #> theta.LV2.34 -0.289241622 0.68859090 #> theta.LV2.35 -0.263582652 0.21016971 #> theta.LV2.36 -0.241946551 0.03954228 #> theta.LV2.37 -0.621462849 0.17289429 #> theta.LV2.38 -0.300903459 0.46399115 #> theta.LV2.39 -0.299675048 0.35746054 #> Intercept.Amblyopone.australis -0.362754556 0.04893208 #> Intercept.Aphaenogaster.longiceps -0.709492423 0.06384867 #> Intercept.Camponotus.cinereus.amperei -1.855330522 -0.03201067 #> Intercept.Camponotus.claripes -6.253146607 -0.31989909 #> Intercept.Camponotus.consobrinus -3.698764645 -0.83566248 #> Intercept.Camponotus.nigriceps -0.036845879 1.06008055 #> Intercept.Camponotus.nigroaeneus 0.642091321 1.79310593 #> Intercept.Cardiocondyla.nuda.atalanta -1.679590984 0.47959541 #> Intercept.Crematogaster.sp..A -1.317854139 0.23396693 #> Intercept.Heteroponera.sp..A -5.327668272 -0.01451641 #> Intercept.Iridomyrmex.bicknelli -4.746412379 0.10285262 #> Intercept.Iridomyrmex.dromus 0.802271623 1.67654445 #> Intercept.Iridomyrmex.mjobergi 0.772758491 1.80434274 #> Intercept.Iridomyrmex.purpureus -1.859361368 0.26212098 #> Intercept.Iridomyrmex.rufoniger 0.981774616 1.68335474 #> Intercept.Iridomyrmex.suchieri -1.288003487 1.11273980 #> Intercept.Iridomyrmex.suchieroides 2.022082601 2.70289699 #> Intercept.Melophorus.sp..E -0.135076464 1.04253411 #> Intercept.Melophorus.sp..F -1.135392642 0.24781672 #> Intercept.Melophorus.sp..H -2.009053745 -0.37473742 #> Intercept.Meranoplus.sp..A 0.082735499 0.98236440 #> Intercept.Monomorium.leae -1.272862023 0.16011200 #> Intercept.Monomorium.rothsteini -1.453993812 0.64859767 #> Intercept.Monomorium.sydneyense 0.841382811 1.84727288 #> Intercept.Myrmecia.pilosula.complex -0.730680844 1.20941960 #> Intercept.Notoncus.capitatus -1.320448289 0.40725609 #> Intercept.Notoncus.ectatommoides -2.053404168 -0.20207715 #> Intercept.Nylanderia.sp..A -2.473060704 0.53476753 #> Intercept.Ochetellus.glaber 0.239164567 1.22238755 #> Intercept.Paraparatrechina.sp..B 0.030408492 1.47001253 #> Intercept.Pheidole.sp..A -3.864443141 -0.21642213 #> Intercept.Pheidole.sp..B -3.311803558 0.27488106 #> Intercept.Pheidole.sp..E 2.092502680 2.54373402 #> Intercept.Pheidole.sp..J -2.030383570 -0.15338453 #> Intercept.Polyrhachis.sp..A 1.226637708 1.97956238 #> Intercept.Rhytidoponera.metallica.sp..A -2.978459803 -0.56718703 #> Intercept.Rhytidoponera.sp..B -1.984440328 -0.52864828 #> Intercept.Solenopsis.sp..A 1.772740348 2.27348555 #> Intercept.Stigmacros.sp..A -0.397038273 1.09413892 #> Intercept.Tapinoma.sp..A -3.426967711 -0.97579204 #> Intercept.Tetramorium.sp..A -1.091880540 0.51275727 #> inv.phi.Amblyopone.australis 0.282620501 1.23747031 #> inv.phi.Aphaenogaster.longiceps -0.631528704 0.77866261 #> inv.phi.Camponotus.cinereus.amperei -0.270487810 1.34890505 #> inv.phi.Camponotus.claripes -0.211424882 1.00850776 #> inv.phi.Camponotus.consobrinus -1.082732652 2.58821337 #> inv.phi.Camponotus.nigriceps 0.057469939 1.51923385 #> inv.phi.Camponotus.nigroaeneus 0.053228671 3.83235955 #> inv.phi.Cardiocondyla.nuda.atalanta -0.061328003 0.51823372 #> inv.phi.Crematogaster.sp..A -0.106602377 1.07141357 #> inv.phi.Heteroponera.sp..A -0.070044146 0.42295717 #> inv.phi.Iridomyrmex.bicknelli -0.079418827 0.52848291 #> inv.phi.Iridomyrmex.dromus 0.225181438 2.46845474 #> inv.phi.Iridomyrmex.mjobergi -0.118035741 5.03073663 #> inv.phi.Iridomyrmex.purpureus -0.066779230 0.56608215 #> inv.phi.Iridomyrmex.rufoniger -0.169734753 4.83704229 #> inv.phi.Iridomyrmex.suchieri 0.009085673 0.42275887 #> inv.phi.Iridomyrmex.suchieroides -0.083718394 19.14377216 #> inv.phi.Melophorus.sp..E -0.154535948 2.35711091 #> inv.phi.Melophorus.sp..F -0.884541981 4.74688233 #> inv.phi.Melophorus.sp..H -0.832200307 2.32031093 #> inv.phi.Meranoplus.sp..A -0.512532219 5.30099140 #> inv.phi.Monomorium.leae -0.424201849 3.55560989 #> inv.phi.Monomorium.rothsteini -0.018459814 0.63757293 #> inv.phi.Monomorium.sydneyense 0.248471646 1.69159906 #> inv.phi.Myrmecia.pilosula.complex 0.014780948 2.74702080 #> inv.phi.Notoncus.capitatus -0.099518667 1.27882059 #> inv.phi.Notoncus.ectatommoides -0.365816423 1.37942419 #> inv.phi.Nylanderia.sp..A -0.041815620 0.38604661 #> inv.phi.Ochetellus.glaber -0.084158478 4.06880429 #> inv.phi.Paraparatrechina.sp..B 0.107368740 1.41088340 #> inv.phi.Pheidole.sp..A -0.188703853 1.06111908 #> inv.phi.Pheidole.sp..B -0.063973551 0.30179019 #> inv.phi.Pheidole.sp..E -1.415632292 20.55783945 #> inv.phi.Pheidole.sp..J -0.348520249 1.33690820 #> inv.phi.Polyrhachis.sp..A 0.320733128 2.69246122 #> inv.phi.Rhytidoponera.metallica.sp..A -0.276747974 0.79866464 #> inv.phi.Rhytidoponera.sp..B -7.676106111 15.06596340 #> inv.phi.Solenopsis.sp..A -0.858343873 15.09378595 #> inv.phi.Stigmacros.sp..A 0.003907447 1.35251755 #> inv.phi.Tapinoma.sp..A -1.919597041 4.17068867 #> inv.phi.Tetramorium.sp..A -0.028744157 1.05076124 #> inv.phi.Tapinoma.sp..A 0.106513400 2.27872438 #> inv.phi.Tetramorium.sp..A -0.300594294 3.63546926 ## Example 1a: Fit concurrent ordination model with two latent variables and with # quadratic response model # We scale and centre the predictors to improve convergence fity1 <- gllvm(y, X = scale(X), family = \"negative.binomial\", num.lv.c=2, method=\"VA\") ordiplot(fity1, biplot = TRUE) #'## Example 1b: Fit constrained ordination model with two latent variables and with # random canonical coefficients fity2 <- gllvm(y, X = scale(X), family = \"negative.binomial\", num.RR=2, randomB=\"LV\", method=\"VA\") # Using Laplace approximation: (this line may take about 30 sec to run) fitl0 <- gllvm(y, family = \"negative.binomial\", method = \"LA\") ordiplot(fitl0) # Poisson family: fit.p <- gllvm(y, family = poisson(), method = \"LA\") ordiplot(fit.p) # Use poisson model as a starting parameters for ZIP-model, this line # may take few minutes to run fit.z <- gllvm(y, family = \"ZIP\", method = \"LA\", control.start = list(start.fit = fit.p)) ordiplot(fit.z) ## Example 2: gllvm with environmental variables # Fit model with two latent variables and all environmental covariates, fitvX <- gllvm(formula = y ~ X, family = \"negative.binomial\") ordiplot(fitvX, biplot = TRUE) coefplot.gllvm(fitvX) # Fit model with environmental covariates Bare.ground and Shrub.cover fitvX2 <- gllvm(y, X, formula = ~ Bare.ground + Shrub.cover, family = \"negative.binomial\") ordiplot(fitvX2) coefplot(fitvX2) #> Error in UseMethod(\"coefplot\"): no applicable method for 'coefplot' applied to an object of class \"gllvm\" # Use 5 initial runs and pick the best one fitvX_5 <- gllvm(y, X, formula = ~ Bare.ground + Shrub.cover, family = \"negative.binomial\", control.start=list(n.init = 5, jitter.var = 0.1)) ordiplot(fitvX_5) coefplot.gllvm(fitvX_5) ## Example 3: Data in long format # Reshape data to long format: datalong <- reshape(data.frame(cbind(y,X)), direction = \"long\", varying = colnames(y), v.names = \"y\") head(datalong) #> Bare.ground Canopy.cover Shrub.cover Volume.lying.CWD Feral.mammal.dung #> 1.1 9.00 3.5 0.50 0.03253833 0.20 #> 2.1 6.00 0.0 0.00 0.01202944 0.65 #> 3.1 9.25 0.0 8.10 0.00804195 0.00 #> 4.1 23.25 0.0 0.25 0.00000000 0.20 #> 5.1 8.75 0.0 3.35 0.00993944 0.35 #> 6.1 32.25 0.0 0.00 0.03142221 1.00 #> time y id #> 1.1 1 0 1 #> 2.1 1 0 2 #> 3.1 1 0 3 #> 4.1 1 4 4 #> 5.1 1 2 5 #> 6.1 1 0 6 fitvLong <- gllvm(data = datalong, formula = y ~ Bare.ground + Shrub.cover, family = \"negative.binomial\") ## Example 4: Fourth corner model # Fit fourth corner model with two latent variables fitF1 <- gllvm(y = y, X = X, TR = TR, family = \"negative.binomial\") coefplot.gllvm(fitF1) # Fourth corner can be plotted also with next lines #fourth = fitF1$fourth.corner #library(lattice) #a = max( abs(fourth) ) #colort = colorRampPalette(c(\"blue\",\"white\",\"red\")) #plot.4th = levelplot(t(as.matrix(fourth)), xlab = \"Environmental Variables\", # ylab = \"Species traits\", col.regions = colort(100), # at = seq( -a, a, length = 100), scales = list( x = list(rot = 45))) #print(plot.4th) # Specify model using formula fitF2 <- gllvm(y = y, X = X, TR = TR, formula = ~ Bare.ground + Canopy.cover * (Pilosity + Webers.length), family = \"negative.binomial\") ordiplot(fitF2) coefplot.gllvm(fitF2) ## Include species specific random slopes to the fourth corner model fitF3 <- gllvm(y = y, X = X, TR = TR, formula = ~ Bare.ground + Canopy.cover * (Pilosity + Webers.length), family = \"negative.binomial\", randomX = ~ Bare.ground + Canopy.cover, control.start = list(n.init = 3)) ordiplot(fitF3) coefplot.gllvm(fitF3) ## Example 5: Fit Tweedie model # Load coral data data(tikus) ycoral <- tikus$abund # Let's consider only years 1981 and 1983 ycoral <- ycoral[((tikus$x$time == 81) + (tikus$x$time == 83)) > 0, ] # Exclude species which have observed at less than 4 sites ycoral <- ycoral[-17, (colSums(ycoral > 0) > 4)] # Fit Tweedie model for coral data (this line may take few minutes to run) fit.twe <- gllvm(y = ycoral, family = \"tweedie\", method = \"LA\") ordiplot(fit.twe) ## Example 6: Random row effects fitRand <- gllvm(y, family = \"negative.binomial\", row.eff = \"random\") ordiplot(fitRand, biplot = TRUE) # }"},{"path":"/reference/kelpforest.html","id":null,"dir":"Reference","previous_headings":"","what":"Kelp Forest community Dynamics: Cover of sessile organisms, Uniform Point Contact — kelpforest","title":"Kelp Forest community Dynamics: Cover of sessile organisms, Uniform Point Contact — kelpforest","text":"data describe cover sessile invertebrates, understory macroalgae, bottom substrate types determined uniform point contact method. presence 150 taxa sessile invertebrates macroalgae recorded 80 uniformly spaced points along permanent 40m x 2m transects. Multiple species can recorded given point. Percent cover given species transect can estimated UPC observations fraction total points species present x 100. total percent cover species combined using method can exceed 100%; however, percent cover single species exceed 100%. specific version data includes 61 species macroalgae, 69 species sessile invertebrates, two species plants.","code":""},{"path":"/reference/kelpforest.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Kelp Forest community Dynamics: Cover of sessile organisms, Uniform Point Contact — kelpforest","text":"","code":"data(fungi)"},{"path":"/reference/kelpforest.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Kelp Forest community Dynamics: Cover of sessile organisms, Uniform Point Contact — kelpforest","text":"Y data frame percent cover records 132 sessile invertebrates understory macroalgae measured 836 permanent transects. X data frame study design variables predictors. SPinfo data frame species information including species names, group taxonomy.","code":""},{"path":"/reference/kelpforest.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Kelp Forest community Dynamics: Cover of sessile organisms, Uniform Point Contact — kelpforest","text":"data part SBC LTERs kelp forest monitoring program, began 2000 designed track long-term patterns species abundance diversity reef-associated organisms Santa Barbara Channel, California, USA. sampling locations dataset include nine reef sites along mainland coast Santa Barbara Channel two sites north side Santa Cruz Island. sites reflect several oceanographic regimes channel vary distance sources terrestrial runoff. Data collection began 2000 dataset updated annually. time period data collection varied among 11 kelp forest sites. Sampling BULL, CARP, NAPL began 2000, sampling 6 mainland sites (AHND, AQUE, IVEE, GOLB, ABUR, MOHK) began 2001 (transects 3, 5, 6, 7, 8 IVEE added 2011). Data collection two Santa Cruz Island sites (SCTW SCDI) began 2004. Detailed description data available reference website https://sbclter.msi.ucsb.edu/data/catalog/package/?package=knb-lter-sbc.15","code":""},{"path":"/reference/kelpforest.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Kelp Forest community Dynamics: Cover of sessile organisms, Uniform Point Contact — kelpforest","text":"Reed, D, R. Miller. 2023. SBC LTER: Reef: Kelp Forest Community Dynamics: Cover sessile organisms, Uniform Point Contact ver 33. Environmental Data Initiative. https://doi.org/10.6073/pasta/0af1a5b0d9dde5b4e5915c0012ccf99c. (Accessed: 2023-12-01).","code":""},{"path":"/reference/kelpforest.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Kelp Forest community Dynamics: Cover of sessile organisms, Uniform Point Contact — kelpforest","text":"","code":"if (FALSE) { # \\dontrun{ data(kelpforest) Y <- kelpforest$Y X <- kelpforest$X SPinfo <- kelpforest$SPinfo } # }"},{"path":"/reference/logLik.gllvm.html","id":null,"dir":"Reference","previous_headings":"","what":"Log-likelihood of gllvm — logLik.gllvm","title":"Log-likelihood of gllvm — logLik.gllvm","text":"Extracts Log-likelihood 'gllvm' objects.","code":""},{"path":"/reference/logLik.gllvm.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Log-likelihood of gllvm — logLik.gllvm","text":"","code":"# S3 method for class 'gllvm' logLik(object, ...)"},{"path":"/reference/logLik.gllvm.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Log-likelihood of gllvm — logLik.gllvm","text":"object object class 'gllvm'. ... used.","code":""},{"path":"/reference/logLik.gllvm.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Log-likelihood of gllvm — logLik.gllvm","text":"David . Warton, Jenni Niku","code":""},{"path":"/reference/logLik.gllvm.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Log-likelihood of gllvm — logLik.gllvm","text":"","code":"if (FALSE) { # \\dontrun{ ## Load a dataset from the mvabund package data(antTraits, package = \"mvabund\") y <- as.matrix(antTraits$abund) # Fit gllvm model fit <- gllvm(y = y, family = poisson()) # log-Likelihood: logLik(fit) } # }"},{"path":"/reference/ordiplot.gllvm.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot latent variables from gllvm model — ordiplot.gllvm","title":"Plot latent variables from gllvm model — ordiplot.gllvm","text":"Plots latent variables corresponding coefficients (biplot).","code":""},{"path":"/reference/ordiplot.gllvm.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot latent variables from gllvm model — ordiplot.gllvm","text":"","code":"# S3 method for class 'gllvm' ordiplot( object, biplot = FALSE, ind.spp = NULL, alpha = 0.5, main = NULL, which.lvs = c(1, 2), predict.region = FALSE, level = 0.95, jitter = FALSE, jitter.amount = 0.2, s.colors = 1, s.cex = 1.2, symbols = FALSE, cex.spp = 0.7, spp.colors = \"blue\", arrow.scale = 0.8, arrow.spp.scale = 0.8, arrow.ci = TRUE, arrow.lty = \"solid\", fac.center = FALSE, spp.arrows = NULL, spp.arrows.lty = \"dashed\", cex.env = 0.7, lab.dist = 0.1, lwd.ellips = 0.5, col.ellips = 4, lty.ellips = 1, type = NULL, rotate = TRUE, ... )"},{"path":"/reference/ordiplot.gllvm.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot latent variables from gllvm model — ordiplot.gllvm","text":"object object class 'gllvm'. biplot TRUE latent variables coefficients plotted, FALSE latent variables. ind.spp number response variables (usually, species) include biplot. default none, biplot = TRUE. alpha numeric scalar 0 1 used control relative scaling latent variables coefficients, constructing biplot. main main title. .lvs indices two latent variables plotted number latent variables 2. vector length two. Defaults c(1,2). predict.region TRUE \"sites\" prediction regions predicted latent variables plotted, defaults FALSE. EXTENSION DEVELOPMENT: \"species\" uncertainty estimate regions estimated latent variable loadings plotted. Works biplot = TRUE. level level prediction regions. jitter TRUE, jittering applied points. jitter.amount numeric, positive value indicating amount jittering point, defaults 0.2 (jitter range). s.colors colors sites s.cex size site labels symbols logical, TRUE sites plotted using symbols, FALSE (default) site numbers used cex.spp size species labels biplot spp.colors colors sites, defaults \"blue\" arrow.scale positive value, scale arrows arrow.spp.scale positive value, scale arrows species arrow.ci represent statistical uncertainty arrows constrained concurrent ordination using confidence prediction interval? Defaults TRUE arrow.lty linetype arrows constrained fac.center logical. TRUE place labels binary variables estimated location. spp.arrows plot species scores arrows outside range plot? Defaults FALSE linear response models TRUE quadratic response models. spp.arrows.lty linetype species arrows cex.env size labels arrows constrained ordination lab.dist distance label arrow heads. Value 0 1 lwd.ellips line width prediction ellipses. See graphical parameter lwd. col.ellips colors prediction ellipses. lty.ellips line type prediction ellipses. See graphical parameter lty. type type ordination plot construct. Options \"residual\", \"conditional\", \"marginal\". Defaults \"residual\" GLLVMs unconstrained latent variables \"conditional\" otherwise. rotate logical, TRUE (default) latent variables rotated principal direction using singular value decomposition ... additional graphical arguments.","code":""},{"path":"/reference/ordiplot.gllvm.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plot latent variables from gllvm model — ordiplot.gllvm","text":"Function constructs scatter plot two latent variables, .e. ordination plot. Latent variables re-rotated principal direction using singular value decomposition, first plotted latent variable first latent variable model. one latent variable fitted model, latent variables plotted corresponding row indices. latent variables labeled using row index response matrix y. Coefficients related latent variables plotted figure latent variables biplot = TRUE. labeled using column names y. number latent variable coefficients plotted can controlled ind.spp. argument alpha used control relative scaling latent variables coefficients. alpha = 0.5, latent variables coefficients scale. details constructing biplot, see Gabriel (1971). quadratic response model, species optima plotted. species scores outside range predicted site scores directly plotted, main direction indicated arrows instead. ensures plot remains reasonable scale. Effects environmental variables constrained ordination indicated arrows. arrows exceeds range plot, arrows scaled 80 relative contribution predictors maintained. standard errors available provided model, slopes environmental variables 95 slightly less intensely coloured. constrained ordination, conditional plot includes fixed- random-effects optimally represent species co-occurrence patterns, corresponding \"conditional\" site scores getLV.gllvm. Marginal corresponds ordination plot excludes residual patterns (.e. excluding random-effect), available num.lv.c>0 num.RR>0. conditional plot requires num.lv.c>0. \"residual\" type corresponds ordination diagram residual patterns. See getLV.gllvm details.","code":""},{"path":"/reference/ordiplot.gllvm.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Plot latent variables from gllvm model — ordiplot.gllvm","text":"- error occurred using ordiplot(), try full name function ordiplot.gllvm() functions named 'ordiplot' might found packages well.","code":""},{"path":"/reference/ordiplot.gllvm.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Plot latent variables from gllvm model — ordiplot.gllvm","text":"Gabriel, K. R. (1971). biplot graphic display matrices application principal component analysis. Biometrika, 58, 453-467.","code":""},{"path":[]},{"path":"/reference/ordiplot.gllvm.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Plot latent variables from gllvm model — ordiplot.gllvm","text":"Jenni Niku , Francis K.C. Hui, Bert van der Veen","code":""},{"path":"/reference/ordiplot.gllvm.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot latent variables from gllvm model — ordiplot.gllvm","text":"","code":"#'# Extract subset of the microbial data to be used as an example data(microbialdata) y <- microbialdata$Y[, order(colMeans(microbialdata$Y > 0), decreasing = TRUE)[21:40]] fit <- gllvm(y, family = poisson()) fit$logL #> [1] -4242.668 ordiplot(fit, predict.region = TRUE) if (FALSE) { # \\dontrun{ #'## Load a dataset from the mvabund package data(antTraits, package = \"mvabund\") y <- as.matrix(antTraits$abund) fit <- gllvm(y, family = poisson()) # Ordination plot: ordiplot(fit) # Biplot with 10 species ordiplot(fit, biplot = TRUE, ind.spp = 10) } # }"},{"path":"/reference/plot.gllvm.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot Diagnostics for an gllvm Object — plot.gllvm","title":"Plot Diagnostics for an gllvm Object — plot.gllvm","text":"Five plots (selectable ) currently available: plot residuals linear predictors fitted values, Normal Q-Q plot residuals simulated point-wise 95% confidence interval envelope, residuals row index column index scale location plot.","code":""},{"path":"/reference/plot.gllvm.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot Diagnostics for an gllvm Object — plot.gllvm","text":"","code":"# S3 method for class 'gllvm' plot( x, which = 1:5, caption = c(\"Residuals vs linear predictors\", \"Normal Q-Q\", \"Residuals vs row\", \"Residuals vs column\", \"Scale-Location\"), var.colors = NULL, add.smooth = TRUE, envelopes = TRUE, reps = 150, envelope.col = c(\"blue\", \"lightblue\"), n.plot = NULL, ... )"},{"path":"/reference/plot.gllvm.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot Diagnostics for an gllvm Object — plot.gllvm","text":"x object class 'gllvm'. subset plots required, specify subset numbers 1:5, see caption . caption captions appear plots. var.colors colors responses, vector length number response variables 1. Defaults NULL, different responses different colors. add.smooth logical indicating smoother added. envelopes logical, indicating simulated point-wise confidence interval envelope added Q-Q plot, defaults TRUE reps number replications simulating confidence envelopes normal Q-Q plot envelope.col colors envelopes, vector length two n.plot number species (response variables) plotted. Defaults NULL response variables plotted. Might useful data high dimensional. ... additional graphical arguments.","code":""},{"path":"/reference/plot.gllvm.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plot Diagnostics for an gllvm Object — plot.gllvm","text":"plot.gllvm used model diagnostics. Dunn-Smyth residuals (randomized quantile residuals) (Dunn Smyth, 1996) used plots. Colors indicate different species.","code":""},{"path":"/reference/plot.gllvm.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Plot Diagnostics for an gllvm Object — plot.gllvm","text":"Dunn, P. K., Smyth, G. K. (1996). Randomized quantile residuals. Journal Computational Graphical Statistics, 5, 236-244. Hui, F. K. C., Taskinen, S., Pledger, S., Foster, S. D., Warton, D. . (2015). Model-based approaches unconstrained ordination. Methods Ecology Evolution, 6:399-411.","code":""},{"path":[]},{"path":"/reference/plot.gllvm.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Plot Diagnostics for an gllvm Object — plot.gllvm","text":"Jenni Niku ","code":""},{"path":[]},{"path":"/reference/predict.gllvm.html","id":null,"dir":"Reference","previous_headings":"","what":"Predict Method for gllvm Fits — predict.gllvm","title":"Predict Method for gllvm Fits — predict.gllvm","text":"Obtains predictions fitted generalized linear latent variable model object.","code":""},{"path":"/reference/predict.gllvm.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Predict Method for gllvm Fits — predict.gllvm","text":"","code":"# S3 method for class 'gllvm' predict( object, newX = NULL, newTR = NULL, newLV = NULL, type = \"link\", level = 1, offset = TRUE, ... )"},{"path":"/reference/predict.gllvm.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Predict Method for gllvm Fits — predict.gllvm","text":"object object class 'gllvm'. newX new data frame environmental variables. omitted, original matrix environmental variables used. newTR new data frame traits response taxon. omitted, original matrix traits used. newLV new matrix latent variables. omitted, original matrix latent variables used. Note number rows/sites must newX (X covariates included model). type type prediction required. default (\"link\") scale linear predictors; alternative \"response\" scale response variable. , predictions binomial model predicted probabilities. case ordinal data, type = \"response\" gives predicted probabilities level ordinal variable. level specification predict. Level one (level = 1) attempts use predicted site scores variational approximations laplace approximation given site scores newLV. Level 0 sets latent variable zero. Defaults 1. offset specification whether offset values included predictions case model, defaults TRUE offset values used fit model included predictions. Alternatives matrix/vector (number rows must match newX) new offset values FALSE, offsets ignored. ... used.","code":""},{"path":"/reference/predict.gllvm.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Predict Method for gllvm Fits — predict.gllvm","text":"matrix containing requested predictor types.","code":""},{"path":"/reference/predict.gllvm.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Predict Method for gllvm Fits — predict.gllvm","text":"newX, newTR newLV omitted predictions based data used fitting model. Notice newTR need match number species original data. Instead, new sites can specified newX. predictors newX (newTR) given, newLV , latent variables used predictions.","code":""},{"path":"/reference/predict.gllvm.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Predict Method for gllvm Fits — predict.gllvm","text":"Jenni Niku , David Warton","code":""},{"path":"/reference/predict.gllvm.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Predict Method for gllvm Fits — predict.gllvm","text":"","code":"# \\donttest{ # Load a dataset from the mvabund package data(antTraits, package = \"mvabund\") y <- as.matrix(antTraits$abund) X <- scale(antTraits$env[, 1:3]) # Fit gllvm model fit <- gllvm(y = y, X, family = poisson()) # fitted values predfit <- predict(fit, type = \"response\") # linear predictors predlin <- predict(fit) # Predict new sites: # Generate matrix of environmental variables for 10 new sites xnew <- cbind(rnorm(10), rnorm(10), rnorm(10)) colnames(xnew) <- colnames(X) predfit <- predict(fit, newX = xnew, type = \"response\", level = 0) #> Error in terms.formula(object, data = data): argument is not a valid model TR <- (antTraits$tr[, 1:3]) fitt <- gllvm(y = y, X, TR, family = poisson()) # linear predictors predlin <- predict(fitt) # Predict new sites: # Generate matrix of environmental variables for 10 new sites xnew <- cbind(rnorm(10), rnorm(10), rnorm(10)) colnames(xnew) <- colnames(X) # Generate matrix of traits for species trnew <- data.frame(Femur.length = rnorm(41), No.spines = rnorm(41), Pilosity = factor(sample(0:3, 41, replace = TRUE))) predfit <- predict(fitt, newX = xnew, newTR = trnew, type = \"response\", level = 0) # }"},{"path":"/reference/predictLVs.gllvm.html","id":null,"dir":"Reference","previous_headings":"","what":"Predict latent variables for gllvm Fits — predictLVs.gllvm","title":"Predict latent variables for gllvm Fits — predictLVs.gllvm","text":"Obtains predictions latent variables fitted generalized linear latent variable model object. Currently works variational approximation method.","code":""},{"path":"/reference/predictLVs.gllvm.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Predict latent variables for gllvm Fits — predictLVs.gllvm","text":"","code":"# S3 method for class 'gllvm' predictLVs(object, newX = NULL, newY = object$y, ...)"},{"path":"/reference/predictLVs.gllvm.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Predict latent variables for gllvm Fits — predictLVs.gllvm","text":"object object class 'gllvm'. newX new data frame environmental variables. omitted, original matrix environmental variables used. newY new response data. Defaults dataset used original model fit. ... used.","code":""},{"path":"/reference/predictLVs.gllvm.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Predict latent variables for gllvm Fits — predictLVs.gllvm","text":"matrix containing requested predictor types.","code":""},{"path":"/reference/predictLVs.gllvm.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Predict latent variables for gllvm Fits — predictLVs.gllvm","text":"Obtains predictions latent variables fitted generalized linear latent variable model object.","code":""},{"path":"/reference/predictLVs.gllvm.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Predict latent variables for gllvm Fits — predictLVs.gllvm","text":"David Warton, Jenni Niku ","code":""},{"path":"/reference/predictLVs.gllvm.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Predict latent variables for gllvm Fits — predictLVs.gllvm","text":"","code":"# \\donttest{ # Load a dataset from the mvabund package data(antTraits, package = \"mvabund\") y <- as.matrix(antTraits$abund) X <- scale(antTraits$env[, 1:3]) # Fit gllvm model fit <- gllvm(y = y, X, family = poisson()) # fitted values predLVs <- predictLVs.gllvm(fit) #> Error in eval(object$call): object 'X' not found # }"},{"path":"/reference/randomCoefplot.gllvm.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot random slope coefficients — randomCoefplot.gllvm","title":"Plot random slope coefficients — randomCoefplot.gllvm","text":"Plots random slopes prediction intervals.","code":""},{"path":"/reference/randomCoefplot.gllvm.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot random slope coefficients — randomCoefplot.gllvm","text":"","code":"# S3 method for class 'gllvm' randomCoefplot( object, y.label = TRUE, which.Xcoef = NULL, cex.ylab = 0.5, mfrow = NULL, mar = c(4, 6, 2, 1), xlim.list = NULL, order = FALSE, ... )"},{"path":"/reference/randomCoefplot.gllvm.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot random slope coefficients — randomCoefplot.gllvm","text":"object object class 'gllvm'. y.label logical, TRUE (default) colnames y respect coefficients added plot. .Xcoef fector indicating covariate coefficients plotted. Can vector covariate names numbers. Default NULL covariate coefficients plotted. cex.ylab magnification used axis annotation relative current setting cex. mfrow mfrow par. NULL (default) determined automatically. mar vector length 4, defines margin sizes: c(bottom, left, top, right). Defaults c(4,5,2,1). xlim.list list vectors length two define intervals x axis covariate plot. Defaults NULL interval defined range point estimates confidence intervals order logical, TRUE (default), coefficients sorted according point estimates ... additional graphical arguments.","code":""},{"path":"/reference/randomCoefplot.gllvm.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Plot random slope coefficients — randomCoefplot.gllvm","text":"Jenni Niku , Francis K.C. Hui, Bert van der Veen, Sara Taskinen,","code":""},{"path":"/reference/randomCoefplot.gllvm.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot random slope coefficients — randomCoefplot.gllvm","text":"","code":"if (FALSE) { # \\dontrun{ ## Load a dataset from the mvabund package data(antTraits, package = \"mvabund\") y <- as.matrix(antTraits$abund) X <- as.matrix(antTraits$env) TR <- antTraits$traits # Fit model with random slopes fitF <- gllvm(y = y, X = X, TR = TR, formula = ~ Bare.ground + Bare.ground : Webers.length, family = poisson(), randomX = ~ Bare.ground) randomCoefplot(fitF) } # }"},{"path":"/reference/residuals.gllvm.html","id":null,"dir":"Reference","previous_headings":"","what":"Dunn-Smyth residuals for gllvm model — residuals.gllvm","title":"Dunn-Smyth residuals for gllvm model — residuals.gllvm","text":"Calculates Dunn-Smyth residuals gllvm model.","code":""},{"path":"/reference/residuals.gllvm.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Dunn-Smyth residuals for gllvm model — residuals.gllvm","text":"","code":"# S3 method for class 'gllvm' residuals(object, ...)"},{"path":"/reference/residuals.gllvm.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Dunn-Smyth residuals for gllvm model — residuals.gllvm","text":"object object class 'gllvm'. ... used.","code":""},{"path":"/reference/residuals.gllvm.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Dunn-Smyth residuals for gllvm model — residuals.gllvm","text":"residuals matrix residuals linpred matrix linear predictors","code":""},{"path":"/reference/residuals.gllvm.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Dunn-Smyth residuals for gllvm model — residuals.gllvm","text":"Computes Dunn-Smyth residuals (randomized quantile residuals, Dunn Smyth, 1996) gllvm model. observation \\(Y_{ij}\\) Dunn-Smyth residuals defined $$r_{ij}=\\Phi^{-1}(u_{ij}F_{ij}(y_{ij}) + (1-u_{ij})F_{ij}^-(y_{ij})),$$ \\(\\Phi(.)\\) \\(F_{ij}(.)\\) cumulative probability functions standard normal distribution, \\(F_{ij}^-(y))\\) limit \\(F_{ij}(y)\\) approached negative side, \\(u_{ij}\\) generated random standard uniform distribution.","code":""},{"path":"/reference/residuals.gllvm.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Dunn-Smyth residuals for gllvm model — residuals.gllvm","text":"Dunn, P. K., Smyth, G. K. (1996). Randomized quantile residuals. Journal Computational Graphical Statistics, 5, 236-244. Hui, F. K. C., Taskinen, S., Pledger, S., Foster, S. D., Warton, D. . (2015). Model-based approaches unconstrained ordination. Methods Ecology Evolution, 6:399-411.","code":""},{"path":"/reference/residuals.gllvm.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Dunn-Smyth residuals for gllvm model — residuals.gllvm","text":"Jenni Niku ","code":""},{"path":"/reference/residuals.gllvm.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Dunn-Smyth residuals for gllvm model — residuals.gllvm","text":"","code":"if (FALSE) { # \\dontrun{ # Load a dataset from the mvabund package data(antTraits, package = \"mvabund\") y <- as.matrix(antTraits$abund) # Fit gllvm model fit <- gllvm(y = y, family = poisson()) # residuals res <- residuals(fit) } # }"},{"path":"/reference/se.gllvm.html","id":null,"dir":"Reference","previous_headings":"","what":"Standard errors for gllvm model — se.gllvm","title":"Standard errors for gllvm model — se.gllvm","text":"Calculates Hessian standard errors gllvm model.","code":""},{"path":"/reference/se.gllvm.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Standard errors for gllvm model — se.gllvm","text":"","code":"# S3 method for class 'gllvm' se(object, ...)"},{"path":"/reference/se.gllvm.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Standard errors for gllvm model — se.gllvm","text":"object object class 'gllvm'. ... used.","code":""},{"path":"/reference/se.gllvm.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Standard errors for gllvm model — se.gllvm","text":"sd list standard errors parameters Hess list including Hessian matrix approximative covariance matrix parameters","code":""},{"path":"/reference/se.gllvm.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Standard errors for gllvm model — se.gllvm","text":"Computes Hessian standard errors gllvm model.","code":""},{"path":"/reference/se.gllvm.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Standard errors for gllvm model — se.gllvm","text":"Dunn, P. K., Smyth, G. K. (1996). Randomized quantile residuals. Journal Computational Graphical Statistics, 5, 236-244. Hui, F. K. C., Taskinen, S., Pledger, S., Foster, S. D., Warton, D. . (2015). Model-based approaches unconstrained ordination. Methods Ecology Evolution, 6:399-411.","code":""},{"path":"/reference/se.gllvm.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Standard errors for gllvm model — se.gllvm","text":"Jenni Niku ","code":""},{"path":"/reference/se.gllvm.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Standard errors for gllvm model — se.gllvm","text":"","code":"data(eSpider) mod <- gllvm(eSpider$abund, num.lv = 2, family = \"poisson\", sd.errors = FALSE) # Calculate standard errors after fitting sdErr <- se(mod) # Store the standard errors in the right place mod$sd <-sdErr$sd # Store the Hessian in the right place mod$Hess <- sdErr$Hess"},{"path":"/reference/simulate.gllvm.html","id":null,"dir":"Reference","previous_headings":"","what":"Simulate data from gllvm fit — simulate.gllvm","title":"Simulate data from gllvm fit — simulate.gllvm","text":"Generate new data using fitted values parameters","code":""},{"path":"/reference/simulate.gllvm.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Simulate data from gllvm fit — simulate.gllvm","text":"","code":"# S3 method for class 'gllvm' simulate(object, nsim = 1, seed = NULL, conditional = FALSE, ...)"},{"path":"/reference/simulate.gllvm.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Simulate data from gllvm fit — simulate.gllvm","text":"object object class 'gllvm'. nsim optional positive integer specifying number simulated datasets. Defaults 1. seed optional integer set seed number, passed set.seed. Defaults random seed number. conditional conditional = FALSE simulates marginally latent variables. ... used.","code":""},{"path":"/reference/simulate.gllvm.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Simulate data from gllvm fit — simulate.gllvm","text":"matrix containing generated data.","code":""},{"path":"/reference/simulate.gllvm.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Simulate data from gllvm fit — simulate.gllvm","text":"simulate function gllvm objects.","code":""},{"path":"/reference/simulate.gllvm.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Simulate data from gllvm fit — simulate.gllvm","text":"David Warton, Jenni Niku ","code":""},{"path":"/reference/simulate.gllvm.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Simulate data from gllvm fit — simulate.gllvm","text":"","code":"# \\donttest{ # Load a dataset from the mvabund package data(antTraits, package = \"mvabund\") y <- as.matrix(antTraits$abund) X <- scale(antTraits$env[, 1:3]) # Fit gllvm model fit <- gllvm(y = y, X, family = poisson()) # Simulate data newdata <- simulate(fit) #> Error in terms.formula(object, data = data): argument is not a valid model # }"},{"path":"/reference/Skabbholmen.html","id":null,"dir":"Reference","previous_headings":"","what":"Skabbholmen island data — Skabbholmen","title":"Skabbholmen island data — Skabbholmen","text":"Dataset ordinal observations plants, island Skabbholmen Stocholm archipelago. Includes 65 unique sites 70 species, surveyed two different years.","code":""},{"path":"/reference/Skabbholmen.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Skabbholmen island data — Skabbholmen","text":"","code":"data(Skabbholmen)"},{"path":"/reference/Skabbholmen.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Skabbholmen island data — Skabbholmen","text":"Y data frame ordinal 70 plant species measured 126 plots. X matrix 2 predictor variables 126 plots. species matrix full species names abbreviations used community data (Y).","code":""},{"path":"/reference/Skabbholmen.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Skabbholmen island data — Skabbholmen","text":"Observations vascular plant cover 126 one-square-meter plots divided four transects. ordinal responses five-degree Hult-Sernander-Du Rietz scale, originally recorded Wolfgang Cramer (1987) additionally analyzed ter Braak (1987). total 64 unique sites, surveyed two different years (1978 1984), two plots surveyed one year (thus bringing total number rows data 126). plots located elevation gradient, running shoreline edge old-growth forest. Elevation shoreline recorded centimeters sampling 1978. dataset published permission CANOCO FORTRAN package example datasets.","code":""},{"path":"/reference/Skabbholmen.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Skabbholmen island data — Skabbholmen","text":"ter Braak, C.J.F. Smilauer, P. (1998). CANOCO reference manual user's guide CANOCO Windows: software canonical community ordination (version 4). Microcomputer Power, New York, New York, USA. Jongman, E., & Jongman, S. R. R. (1995). Data analysis community landscape ecology. Cambridge university press. ter Braak, C.J.F. (1987). analysis vegetation-environment relationships canonical correspondence analysis. Vegetatio, 69(1), 69-77. Cramer, W. & Hytteborn, H. (1987). separation fluctuation long-term change vegetation dynamics rising seashore. Vegetatio, 69, 157–167.","code":""},{"path":"/reference/Skabbholmen.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Skabbholmen island data — Skabbholmen","text":"","code":"# Uncomment the example #data(Skabbholmen) #Y <- Skabbholmen$Y #X <- Skabbholmen$X #model <- gllvm(y = Y, X = X, # num.RR = 2, # family = \"ordinal\", # zeta.struc=\"common\", # row.eff=~(1|transectID))"},{"path":"/reference/summary.gllvm.html","id":null,"dir":"Reference","previous_headings":"","what":"Summarizing gllvm model fits — summary.gllvm","title":"Summarizing gllvm model fits — summary.gllvm","text":"summary fitted 'gllvm' object, including function call, distribution family model parameters.","code":""},{"path":"/reference/summary.gllvm.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Summarizing gllvm model fits — summary.gllvm","text":"","code":"# S3 method for class 'gllvm' summary( object, by = \"all\", digits = max(3L, getOption(\"digits\") - 3L), signif.stars = getOption(\"show.signif.stars\"), dispersion = FALSE, spp.intercepts = FALSE, row.intercepts = FALSE, Lvcoefs = FALSE, rotate = TRUE, type = NULL, ... ) # S3 method for class 'summary.gllvm' print(x, ...) # S3 method for class 'summary.gllvm' plot(x, component = NULL, ...)"},{"path":"/reference/summary.gllvm.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Summarizing gllvm model fits — summary.gllvm","text":"object object class 'gllvm' = \"\" (default) return Wald statistics per predictor LV ordination includes predictors, = \"terms\" return multivariate Wald statistic per predictor (displayed first LV), = \"LV\" per dimension (displayed first predictors). digits number significant digits use printing signif.stars TRUE, significance stars printed coefficient, defaults TRUE dispersion option return dispersion parameters, defaults FALSE spp.intercepts option return species intercepts, defaults FALSE row.intercepts option return row intercepts, defaults FALSE Lvcoefs option return species scores ordination, defaults FALSE. Returns species optima quadratic model. rotate defaults TRUE. TRUE rotates output latent variables principal direction, coincides ordiplot results. unconstrained constrained latent variables included, predictor slopes rotated. type match \"type\" ordiplot.gllvm ... used. x summary object component component plotted","code":""},{"path":"/reference/summary.gllvm.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Summarizing gllvm model fits — summary.gllvm","text":"Various options available include extra parameter estimates summary, excluded default, readability.","code":""},{"path":"/reference/summary.gllvm.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Summarizing gllvm model fits — summary.gllvm","text":"Jenni Niku , Bert van der Veen","code":""},{"path":"/reference/summary.gllvm.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Summarizing gllvm model fits — summary.gllvm","text":"","code":"if (FALSE) { # \\dontrun{ ## Load a dataset from the mvabund package data(antTraits, package = \"mvabund\") y <- as.matrix(antTraits$abund) # Fit gllvm model fit <- gllvm(y = y, family = poisson()) summary(fit) } # }"},{"path":"/reference/varPartitioning.gllvm.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate variance partitioning — varPartitioning.gllvm","title":"Calculate variance partitioning — varPartitioning.gllvm","text":"Calculates variance partitioning gllvm object function varPartitioning(). Function plotVarPartitioning() (alias plotVP()) plots results variance partitioning fitted gllvm.","code":""},{"path":"/reference/varPartitioning.gllvm.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate variance partitioning — varPartitioning.gllvm","text":"","code":"# S3 method for class 'gllvm' varPartitioning( object, group = NULL, groupnames = NULL, adj.cov = TRUE, grouplvs = FALSE, ... ) plotVarPartitioning( VP, main = \"Variance Partitioning\", xlab = \"Response\", ylab = \"Variance proportion\", legend.text = NULL, ... ) plotVP(VP, ...)"},{"path":"/reference/varPartitioning.gllvm.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate variance partitioning — varPartitioning.gllvm","text":"object object class 'gllvm'. group vector integers identifying grouping X covariates, default use model terms formula lv.formula. groupnames vector strings given names groups defined group adj.cov logical, whether adjust co-variation within group grouplvs logical, whether group latent variables one group ... additional graphical arguments passed barplot function VP variance partitioning object gllvm produced function varPartitioning. main main title xlab label x axis. ylab label y axis. legend.text vector names groups, default 'groupnames' varPartitioning. FALSE, legend printed.","code":""},{"path":"/reference/varPartitioning.gllvm.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Calculate variance partitioning — varPartitioning.gllvm","text":"Variance linear predictor response j can calculated $$Var(\\eta_j) = \\sum_k \\beta_{jk}^2*var(z_{.k}) + 2 \\sum_{(k1=1,...,K-1)} \\sum_{(k2=k1+1,...,K)} \\beta_{j(k1)}\\beta_{j(k2)} Cov(Z_{.k1},Z_{.k2}) , $$ \\(z_{.k}\\) vector consisting predictor/latent variable/row effect etc values sampling units . \\(z_{.k}\\)s correlated, covariance term 0 thus variance explained response j predictor \\(z_{.k}\\) given \\(\\beta_{jk}^2*var(z_{.k})/Var(\\eta_j)\\). case correlated predictors, advised group group. variance explained calculated correlated group predictors together adjusted covariance term.","code":""},{"path":"/reference/varPartitioning.gllvm.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Calculate variance partitioning — varPartitioning.gllvm","text":"Jenni Niku ","code":""},{"path":"/reference/varPartitioning.gllvm.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calculate variance partitioning — varPartitioning.gllvm","text":"","code":"# Extract subset of the microbial data to be used as an example data(microbialdata) X <- microbialdata$Xenv y <- microbialdata$Y[, order(colMeans(microbialdata$Y > 0), decreasing = TRUE)[21:40]] fit <- gllvm(y, X[,1:3], formula = ~ pH + Phosp, family = poisson(), studyDesign = X[,4:5], row.eff = ~(1|Site)) VP <- varPartitioning(fit) plotVarPartitioning(VP) if (FALSE) { # \\dontrun{ # Plot the result of variance partitioning plot(VP, col = palette(hcl.colors(5, \"viridis\"))) } # }"},{"path":"/reference/vcov.gllvm.html","id":null,"dir":"Reference","previous_headings":"","what":"Returns variance-covariance matrix of coefficients in a GLLVM. — vcov.gllvm","title":"Returns variance-covariance matrix of coefficients in a GLLVM. — vcov.gllvm","text":"Returns variance-covariance matrix parameters GLLVM. variance-covariance matrix calculated model fitting, function calculate variance-covariance matrix, may computational intensive large number species /sites.","code":""},{"path":"/reference/vcov.gllvm.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Returns variance-covariance matrix of coefficients in a GLLVM. — vcov.gllvm","text":"","code":"# S3 method for class 'gllvm' vcov(object, ...)"},{"path":"/reference/vcov.gllvm.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Returns variance-covariance matrix of coefficients in a GLLVM. — vcov.gllvm","text":"object object class 'gllvm'. ... used.","code":""},{"path":"/reference/vcov.gllvm.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Returns variance-covariance matrix of coefficients in a GLLVM. — vcov.gllvm","text":"Calculates variance-covariance matrix GLLVM object using se.gllvm, may computational intensive many parameters.parameters might unintuitive names. Fixed-effects coefficients labeled \"b\", ordered per species : 1) intercepts 2) fixed-effects slopes. Coefficients latent variables labled \"lambda\" (linear coefficients) \"lambda2\".","code":""},{"path":"/reference/vcov.gllvm.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Returns variance-covariance matrix of coefficients in a GLLVM. — vcov.gllvm","text":"Bert van der Veen","code":""},{"path":"/news/index.html","id":"version-147","dir":"Changelog","previous_headings":"","what":"Version 1.4.7","title":"Version 1.4.7","text":"Added “fungi” dataset Abrego et al. 2022 Added “kelpforest” dataset Reed Miller 2023 New vignette phylogenetic random effects New vignette percent cover data analysis Function calculating plotting variance partitioning (varPartitioning.gllvm plotVP)","code":""},{"path":"/news/index.html","id":"version-146","dir":"Changelog","previous_headings":"","what":"Version 1.4.6","title":"Version 1.4.6","text":"Added ‘getLoadings’ function retrieving species’ loadings Added ‘fac.center’ argument ordiplot plot canonical coefficients binary variables points Added simple plotting function gllvm summary Improved scaling ordiplot quadratic model biplot = FALSE optima.gllvm tolerances.gllvm num.lv now correctly provide tolerances w.r.t. scaled LV Improved starting values models ‘randomB’ ‘.Xcoef’ coefplot.gllvm now also works fourth-corner models Added intercept beta0com=TRUE coefplot.gllvm fourth-corner models","code":""},{"path":"/news/index.html","id":"bug-fixes-1-4-6","dir":"Changelog","previous_headings":"","what":"Bug Fixes","title":"Version 1.4.6","text":"Bug fixed prevented increasing point size sites ordiplot symbols = TRUE Bug fixed optima.gllvm models single LV","code":""},{"path":"/news/index.html","id":"version-145","dir":"Changelog","previous_headings":"","what":"Version 1.4.5","title":"Version 1.4.5","text":"Prep parallelisation Enabled parallelisation (see TMB::openmp) Largely vectorized “residuals.gllvm”, residuals “gllvm.aux” Added covariance random effects summary preparation emmeans support: moved design matrix “lv.X” “lv.X.design”. “lv.X” now stores original supplied data.frame","code":""},{"path":"/news/index.html","id":"bug-fixes-1-4-5","dir":"Changelog","previous_headings":"","what":"Bug Fixes","title":"Version 1.4.5","text":"Bug ZINB fixed","code":""},{"path":"/news/index.html","id":"version-144","dir":"Changelog","previous_headings":"","what":"Version 1.4.4","title":"Version 1.4.4","text":"Removed “dependent.row” feature Added possibility multiple random row intercepts Can plotted “randomCoefPlot” Phylogenetic signal parameter included objectparamsparamsrho.sp Can covariate specific num.RR num.lv.c can now larger number predictors randomB!=FALSE Added “iid” option “randomB” Added “getEnvironCov” function extract species associations due random covariate effects","code":""},{"path":"/news/index.html","id":"version-143","dir":"Changelog","previous_headings":"","what":"Version 1.4.3","title":"Version 1.4.3","text":"CRAN release: 2023-09-18 CRAN release 1.4.3 see updates versions 1.4.2 1.4.3","code":""},{"path":"/news/index.html","id":"bug-fixes-1-4-3","dir":"Changelog","previous_headings":"","what":"Bug Fixes","title":"Version 1.4.3","text":"Bug correlated row effects fixed Bug getPredictErr models fitted LA fixed, returns now prediction errors random slopes X covariates well Bug randomCoefplot fixed","code":""},{"path":[]},{"path":"/news/index.html","id":"new-features-1-4-2","dir":"Changelog","previous_headings":"","what":"New Features","title":"Version 1.4.2","text":"Added correction factor second partial derivatives canonical coefficients concurrent constrained ordination Added randomCoefPlot functionality constrained concurrent ordination models random slopes. Currently supported models quadratic responses Summary now provides possibility calculate wald statistics across LVs predictors concurrent constrained ordination coef now renames parameter estimates intuitive names allows subset parameter list names Tweedie power parameter estimated now set NULL `gllvm. VA support Zero-inflated poisson distribution Zero-inflated negative-binomial distribution added Binomial (Ntrials>1) support added (previously Bernoulli) Now allowed () NAs response data","code":""},{"path":"/news/index.html","id":"bug-fixes-1-4-2","dir":"Changelog","previous_headings":"","what":"Bug Fixes","title":"Version 1.4.2","text":"Fixed issue structured row-effects concurrent constrained ordination Fixed bug prevented plotting prediction regions constrained ordination structured row-effects standard errors returned optima.gllvm tolerances.gllvm randomB != FALSE Species names original order order = TRUE RandomCoefPlot Fixed issue arose {0,1} bounded parameters reached bounds Various bug fixes constrained/concurrent ordination random intercepts random slopes Bug predictions structured row intercepts fixed, see issue #86","code":""},{"path":"/news/index.html","id":"version-141","dir":"Changelog","previous_headings":"","what":"Version 1.4.1","title":"Version 1.4.1","text":"CRAN release: 2023-01-07","code":""},{"path":"/news/index.html","id":"new-features-1-4-1","dir":"Changelog","previous_headings":"","what":"New Features","title":"Version 1.4.1","text":"Computational stability random slopes constr. concr. ordination significantly improved Computational stability quadratic model significantly improved Unstructured VA covariance matrix quadratic models random intercepts Added example se.gllvm","code":""},{"path":"/news/index.html","id":"bug-fixes-1-4-1","dir":"Changelog","previous_headings":"","what":"Bug Fixes","title":"Version 1.4.1","text":"Bugfix random slopes concr. ordination LV-specific variances random row intercepts Bugfix quadratic model Poisson, NB, gamma, exponential responses Bugfix starting values constrained concurrent quadratic model","code":""},{"path":"/news/index.html","id":"bug-fixes-1-4-1-1","dir":"Changelog","previous_headings":"Bug Fixes","what":"Bug Fixes","title":"Version 1.4.1","text":"Valgrind error fixed","code":""},{"path":"/news/index.html","id":"version-140","dir":"Changelog","previous_headings":"","what":"Version 1.4.0","title":"Version 1.4.0","text":"CRAN release: 2022-12-17","code":""},{"path":"/news/index.html","id":"new-features-1-4-0","dir":"Changelog","previous_headings":"","what":"New Features","title":"Version 1.4.0","text":"CRAN release 1.4.0’s new features see features described versions 1.3.2-1.3.3","code":""},{"path":"/news/index.html","id":"bug-fixes-1-4-0","dir":"Changelog","previous_headings":"","what":"Bug Fixes","title":"Version 1.4.0","text":"bug fixes CRAN release 1.4.0 see versions 1.3.2-1.3.3","code":""},{"path":[]},{"path":"/news/index.html","id":"new-features-1-3-3","dir":"Changelog","previous_headings":"","what":"New Features","title":"Version 1.3.3","text":"n.init option improved, stops improved fit found n.init.max (defaults 10) iterations. Row names data now carry site scores, can displayed ordiplot","code":""},{"path":"/news/index.html","id":"bug-fixes-1-3-3","dir":"Changelog","previous_headings":"","what":"Bug Fixes","title":"Version 1.3.3","text":"Memory allocation problem development version fixed Diagonal elements loading matrix ‘theta’ fixed fourth corner model Bug ‘predict’ random slopes fixed, occurred new x-covariate values given","code":""},{"path":[]},{"path":"/news/index.html","id":"new-features-1-3-2","dir":"Changelog","previous_headings":"","what":"New Features","title":"Version 1.3.2","text":"Ordination predictors (num.RR,num.lv.c) now implemented constrained optimization routines (alabama,nloptr) long canonical coefficients treated fixed-effects. follows necessary identifiability constraints. reduced-rank approximated predictor slopes multivariate regression can now plotted (confidence intervals) using coefplot. available yet quadratic effects. Separate checks put place warn users constraints canonical coefficients (orthogonality columns) converged. Separate checks put place warn users coefficients quadratic model converged Canonical coefficients ordination predictors (num.RR,num.lv.c) can now treated random-effects using ‘randomB’ argument. moment, need either random fixed, mixing. Prediction intervals can retrieved getPredictErr function. extended version spider dataset made available Added option magnify x-axis labels coefplot Site names present row labels response data now shown ordination plot","code":""},{"path":"/news/index.html","id":"bug-fixes-1-3-2","dir":"Changelog","previous_headings":"","what":"Bug Fixes","title":"Version 1.3.2","text":"order quadratic coefficients wrong num.RR, num.lv, num.lv.c used model. Fixed bug calculation starting values constrained ordination (num.RR) residuals re-calculated num.lv.c>0 Fixed bug coefplot one predictor included model Fixed bug prevent using gllvm quadratic response model starting values another model Changed import/export various functions requested github issue #65 Various minor tweaks summary function","code":""},{"path":"/news/index.html","id":"version-131","dir":"Changelog","previous_headings":"","what":"Version 1.3.1","title":"Version 1.3.1","text":"CRAN release: 2021-07-28","code":""},{"path":"/news/index.html","id":"new-features-1-3-1","dir":"Changelog","previous_headings":"","what":"New Features","title":"Version 1.3.1","text":"Structured row parameters implemented, including possibility within group correlations random row effects. Constrained ordination model implemented. NB binomial (probit logit) response model implemented using extended variational approximation method.","code":""},{"path":"/news/index.html","id":"bug-fixes-1-3-1","dir":"Changelog","previous_headings":"","what":"Bug Fixes","title":"Version 1.3.1","text":"Vignettes removed CRAN version package, can seen package’s website .","code":""},{"path":"/news/index.html","id":"version-130","dir":"Changelog","previous_headings":"","what":"Version 1.3.0","title":"Version 1.3.0","text":"CRAN release: 2021-04-30","code":""},{"path":"/news/index.html","id":"new-features-1-3-0","dir":"Changelog","previous_headings":"","what":"New Features","title":"Version 1.3.0","text":"Quadratic latent variables allowed, term - u_i’D_j u_i can included model using ‘quadratic = TRUE’. addition, functions ‘optima()’, ‘tolerances()’ ‘gradient.length()’ included. Beta response distribution implemented using Laplace approximation extended variational approximation method. Tweedie response model implemented using extended variational approximation method. Ordinal model works now ‘num.lv=0’. Residual covariance adjustment added gaussian family.","code":""},{"path":"/news/index.html","id":"bug-fixes-1-3-0","dir":"Changelog","previous_headings":"","what":"Bug Fixes","title":"Version 1.3.0","text":"Estimation variances random slopes X covariates didn’t work properly ‘row.eff = FALSE’ ‘row.eff = “fixed”’. Problems occurred calculation starting values ordinal model. Problems occurred predict() residuals(), random slopes X covariates included. Problems occurred predict() new X covariates given. Problems occurred predictLVs() fourth corner models.","code":""},{"path":"/news/index.html","id":"version-131-1","dir":"Changelog","previous_headings":"","what":"Version 1.3.1","title":"Version 1.3.1","text":"CRAN release: 2021-07-28","code":""},{"path":"/news/index.html","id":"new-features-1-3-1-1","dir":"Changelog","previous_headings":"","what":"New Features","title":"Version 1.3.1","text":"Structured row parameters implemented, including possibility within group correlations random row effects. Constrained ordination model implemented. NB binomial (probit logit) response model implemented using extended variational approximation method.","code":""},{"path":"/news/index.html","id":"bug-fixes-1-3-1-1","dir":"Changelog","previous_headings":"","what":"Bug Fixes","title":"Version 1.3.1","text":"Vignettes removed CRAN version package, can seen package’s website .","code":""},{"path":"/news/index.html","id":"version-130-1","dir":"Changelog","previous_headings":"","what":"Version 1.3.0","title":"Version 1.3.0","text":"CRAN release: 2021-04-30","code":""},{"path":"/news/index.html","id":"new-features-1-3-0-1","dir":"Changelog","previous_headings":"","what":"New Features","title":"Version 1.3.0","text":"Quadratic latent variables allowed, term - u_i’D_j u_i can included model using ‘quadratic = TRUE’. addition, functions ‘optima()’, ‘tolerances()’ ‘gradient.length()’ included. Beta response distribution implemented using Laplace approximation extended variational approximation method. Tweedie response model implemented using extended variational approximation method. Ordinal model works now ‘num.lv=0’. Residual covariance adjustment added gaussian family.","code":""},{"path":"/news/index.html","id":"bug-fixes-1-3-0-1","dir":"Changelog","previous_headings":"","what":"Bug Fixes","title":"Version 1.3.0","text":"Estimation variances random slopes X covariates didn’t work properly ‘row.eff = FALSE’ ‘row.eff = “fixed”’. Problems occurred calculation starting values ordinal model. Problems occurred predict() residuals(), random slopes X covariates included. Problems occurred predict() new X covariates given. Problems occurred predictLVs() fourth corner models.","code":""}]