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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 + fileLICENSE
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_1.2.2.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:nlmixr2autoinit,nlmixr2plot,xpose,xpose.nlmixr2
Reverse suggests:tidyvpc

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=vpcto link to this page.


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