Package: vpc
Title: Create Visual Predictive Checks
Version: 1.2.4
Date: 2026-02-10
Authors@R: 
  c(
    person("Ron", "Keizer", email="ron@insight-rx.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: 7.3.3
Encoding: UTF-8
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-02-13 02:45:41 UTC; ronkeizer
Author: Ron Keizer [aut, cre],
  Bill Denney [aut] (ORCID: <https://orcid.org/0000-0002-5759-428X>)
Repository: CRAN
Date/Publication: 2026-02-17 07:20:02 UTC
Built: R 4.6.0; ; 2026-04-26 17:01:47 UTC; unix
