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 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: nlmixr2plot, xpose, xpose.nlmixr2 Reverse suggests: tidyvpc Linking:Please use the canonical form https://CRAN.R-project.org/package=vpc to link to this page.
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