Fiddling with DESCRIPTION.

jepusto · Apr 4, 2018 · 55c1d84 · 55c1d84
1 parent 279aea1
commit 55c1d84
Show file tree

Hide file tree

Showing 19 changed files with 34 additions and 13 deletions.
diff --git a/DESCRIPTION b/DESCRIPTION
@@ -3,18 +3,21 @@ Title: Cluster-Robust (Sandwich) Variance Estimators with Small-Sample
     Corrections
 Version: 0.3.1
 Authors@R: person("James", "Pustejovsky", email = "jepusto@gmail.com", role = c("aut", "cre"))
-Description: Provides several cluster-robust variance estimators (i.e., sandwich estimators) for 
-    ordinary and weighted least squares linear regression models, including the bias-reduced 
-    linearization estimator introduced by Bell and McCaffrey (2002) 
-    <http://www.statcan.gc.ca/pub/12-001-x/2002002/article/9058-eng.pdf> and developed further 
-    by Pustejovsky and Tipton (2017) <DOI:10.1080/07350015.2016.1247004>. The package includes 
-    functions for estimating the variance- covariance matrix and for testing single- and multiple-
-    contrast hypotheses based on Wald test statistics. Tests of single regression coefficients 
-    use Satterthwaite or saddle-point corrections. Tests of multiple-contrast hypotheses use an 
-    approximation to Hotelling's T-squared distribution. Methods are provided for a variety of 
-    fitted models, including lm() and mlm objects, glm(), ivreg (from package 'AER'), plm() (from 
-    package 'plm'), gls() and lme() (from 'nlme'), robu() (from 'robumeta'), and rma.uni() and 
-    rma.mv() (from 'metafor').
+Description: Provides several cluster-robust variance estimators (i.e.,
+    sandwich estimators) for ordinary and weighted least squares linear regression
+    models, including the bias-reduced linearization estimator introduced by Bell
+    and McCaffrey (2002) 
+    <http://www.statcan.gc.ca/pub/12-001-x/2002002/article/9058-eng.pdf> and 
+    developed further by Pustejovsky and Tipton (2017) 
+    <DOI:10.1080/07350015.2016.1247004>. The package includes functions for estimating
+    the variance- covariance matrix and for testing single- and multiple-
+    contrast hypotheses based on Wald test statistics. Tests of single regression
+    coefficients use Satterthwaite or saddle-point corrections. Tests of multiple-
+    contrast hypotheses use an approximation to Hotelling's T-squared distribution.
+    Methods are provided for a variety of fitted models, including lm() and mlm
+    objects, glm(), ivreg (from package 'AER'), plm() (from package 'plm'), gls()
+    and lme() (from 'nlme'), robu() (from 'robumeta'), and rma.uni() and rma.mv()
+    (from 'metafor').
 URL: https://github.com/jepusto/clubSandwich
 BugReports: https://github.com/jepusto/clubSandwich/issues
 Depends:
@@ -38,4 +41,4 @@ Suggests:
     plm (>= 1.6-4),
     testthat,
     rmarkdown
-RoxygenNote: 6.0.1
+RoxygenNote: 5.0.1
diff --git a/man/AchievementAwardsRCT.Rd b/man/AchievementAwardsRCT.Rd
diff --git a/man/MortalityRates.Rd b/man/MortalityRates.Rd
diff --git a/man/SATcoaching.Rd b/man/SATcoaching.Rd
diff --git a/man/Wald_test.Rd b/man/Wald_test.Rd
diff --git a/man/coef_test.Rd b/man/coef_test.Rd
diff --git a/man/dropoutPrevention.Rd b/man/dropoutPrevention.Rd
diff --git a/man/impute_covariance_matrix.Rd b/man/impute_covariance_matrix.Rd
diff --git a/man/vcovCR.Rd b/man/vcovCR.Rd
diff --git a/man/vcovCR.glm.Rd b/man/vcovCR.glm.Rd
diff --git a/man/vcovCR.gls.Rd b/man/vcovCR.gls.Rd
diff --git a/man/vcovCR.ivreg.Rd b/man/vcovCR.ivreg.Rd
diff --git a/man/vcovCR.lm.Rd b/man/vcovCR.lm.Rd
diff --git a/man/vcovCR.lme.Rd b/man/vcovCR.lme.Rd
diff --git a/man/vcovCR.mlm.Rd b/man/vcovCR.mlm.Rd
diff --git a/man/vcovCR.plm.Rd b/man/vcovCR.plm.Rd
diff --git a/man/vcovCR.rma.mv.Rd b/man/vcovCR.rma.mv.Rd
diff --git a/man/vcovCR.rma.uni.Rd b/man/vcovCR.rma.uni.Rd
diff --git a/man/vcovCR.robu.Rd b/man/vcovCR.robu.Rd