DESCRIPTION

Package: vpc
Title: Create Visual Predictive Checks
Version: 1.2.3
Date: 2021-01-11
Authors@R:
  c(
    person("Ron", "Keizer", email="ronkeizer@gmail.com", role=c("aut", "cre")),
    person("Bill", "Denney", email="wdenney@humanpredictions.com", role="aut", comment=c(ORCID="0000-0002-5759-428X"))
  )
Maintainer: Ron Keizer <ron@insight-rx.com>
Description: Visual predictive checks are a commonly used diagnostic plot in pharmacometrics, showing how certain statistics (percentiles) for observed data compare to those same statistics for data simulated from a model. The package can generate VPCs for continuous, categorical, censored, and (repeated) time-to-event data.
Depends:
    R (>= 3.1.0)
Imports:
    classInt,
    dplyr,
    ggplot2,
    MASS,
    readr,
    rlang,
    stringr,
    survival,
    tidyr
License: MIT + file LICENSE
LazyData: true
URL: https://github.com/ronkeizer/vpc
Suggests:
    covr,
    knitr,
    testthat (>= 3.0.0)
RoxygenNote: 7.2.3
Encoding: UTF-8
Config/testthat/edition: 3