vpc: Create Visual Predictive Checks

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.

Version: 1.2.4
Depends: R (≥ 3.1.0)
Imports: classInt, dplyr, ggplot2, MASS, readr, rlang, stringr, survival, tidyr
Suggests: covr, knitr, testthat (≥ 3.0.0)
Published: 2026-02-17
DOI: 10.32614/CRAN.package.vpc
Author: Ron Keizer [aut, cre], Bill Denney ORCID iD [aut]
Maintainer: Ron Keizer <ron at insight-rx.com>
License: MIT + file LICENSE
URL: https://github.com/ronkeizer/vpc
NeedsCompilation: no
Materials: NEWS
In views: Pharmacokinetics
CRAN checks: vpc results

Documentation:

Reference manual: vpc.html , vpc.pdf

Downloads:

Package source: vpc_1.2.4.tar.gz
Windows binaries: r-devel: vpc_1.2.2.zip, r-release: vpc_1.2.2.zip, r-oldrel: vpc_1.2.2.zip
macOS binaries: r-release (arm64): vpc_1.2.4.tgz, r-oldrel (arm64): vpc_1.2.4.tgz, r-release (x86_64): vpc_1.2.2.tgz, r-oldrel (x86_64): vpc_1.2.2.tgz
Old sources: vpc archive

Reverse dependencies:

Reverse imports: nlmixr2autoinit, nlmixr2plot, xpose, xpose.nlmixr2
Reverse suggests: tidyvpc

Linking:

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