Package: tidyvpc
Type: Package
Title: VPC Percentiles and Prediction Intervals
Version: 1.4.0
Date: 2022-10-25
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 = "james.craig@certara.com",
      role = c("aut", "cre")),
      person("Samer", "Mouksassi", email = "samermouksassi@gmail.com",
      role = c("aut")),
      person("Kris", "Jamsen",
      role = c("ctb")),
      person("Certara USA, Inc.", role = c("cph","fnd"))
    )
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/certara/tidyvpc
BugReports: https://github.com/certara/tidyvpc/issues
Depends: R (>= 3.5.0),
Imports: data.table (>= 1.9.8), magrittr, quantreg (>= 5.51), rlang (>=
        0.3.0), methods, mgcv, classInt, ggplot2, stats, fastDummies,
        utils
Suggests: cluster, dplyr, KernSmooth, knitr, shiny, remotes, vpc,
        rmarkdown, testthat (>= 2.1.0)
License: MIT + file LICENSE
LazyData: true
Encoding: UTF-8
VignetteBuilder: knitr
RoxygenNote: 7.1.2
NeedsCompilation: no
Packaged: 2022-10-27 19:59:28 UTC; jcraig
Author: Olivier Barriere [aut],
  Benjamin Rich [aut],
  James Craig [aut, cre],
  Samer Mouksassi [aut],
  Kris Jamsen [ctb],
  Certara USA, Inc. [cph, fnd]
Maintainer: James Craig <james.craig@certara.com>
Repository: CRAN
Date/Publication: 2022-10-27 20:20:02 UTC
