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: 1.2.2
Depends: R (≥ 3.1.0)
Imports: classInt, dplyr, MASS, survival, ggplot2, readr, stringr, tidyr
Suggests: knitr, testit
Published: 2021-01-11
DOI: 10.32614/CRAN.package.vpc
Author: Ron Keizer
Maintainer: Ron Keizer <ronkeizer at gmail.com>
License: MIT + file LICENSE
URL: https://github.com/ronkeizer/vpc
NeedsCompilation: no
Materials: NEWS
In views: Pharmacokinetics
CRAN checks: vpc results


Reference manual: vpc.pdf


Package source: vpc_1.2.2.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_1.2.2.tgz, r-oldrel (arm64): vpc_1.2.2.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: nlmixr2plot, xpose, xpose.nlmixr2
Reverse suggests: tidyvpc


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