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 [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_1.2.4.zip, r-release: vpc_1.2.4.zip, r-oldrel: vpc_1.2.4.zip
macOS binaries:	r-release (arm64): vpc_1.2.4.tgz, r-oldrel (arm64): vpc_1.2.4.tgz, r-release (x86_64): vpc_1.2.4.tgz, r-oldrel (x86_64): vpc_1.2.4.tgz
Old sources:	vpc archive

Reverse dependencies:

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

Linking:

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