DESCRIPTION

Package: tidyvpc
Type: Package
Title: VPC Percentiles and Prediction Intervals
Version: 1.0.0
Date: 2020-02-17
Authors@R: c(
      person("Olivier", "Barriere", email = "olivier.barriere@gmail.com",
      role = c("aut")),
      person("Benjamin", "Rich", email = "mail@benjaminrich.net",
      role = c("aut")),
      person("James", "Craig", email = "jameswbcraig@gmail.com",
      role = c("aut", "cre")),
      person("Samer", "Mouksassi", email = "samermouksassi@gmail.com",
      role = c("aut")),
      person("Kris", "Jamsen",
      role = c("ctb"))
    )
Description: Perform a Visual Predictive Check (VPC), while accounting for 
    stratification, censoring, and prediction correction. Using piping from 
    'magrittr', the intuitive syntax gives users a flexible and powerful method 
    to generate VPCs using both traditional binning and a new binless approach 
    Jamsen et al. (2018) <doi:10.1002/psp4.12319> with Additive Quantile 
    Regression (AQR) and Locally Estimated Scatterplot Smoothing (LOESS) 
    prediction correction. 
URL: https://github.com/jameswcraig/tidyvpc
BugReports: https://github.com/jameswcraig/tidyvpc/issues
Depends:
    R (>= 3.3.0),
    data.table (>= 1.9.8), 
    magrittr,
    quantreg (>= 5.51)
Imports:
    rlang (>= 0.3.0),
    methods
Suggests:
    cluster,
    classInt,
    KernSmooth,
    ggplot2,
    shiny,
    remotes,
    vpc,
    knitr,
    rmarkdown
License: MIT + file LICENSE
LazyData: true
Encoding: UTF-8
VignetteBuilder: knitr
RoxygenNote: 7.0.2.9000