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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 imports: | nlmixr2plot, xpose, xpose.nlmixr2 |
Reverse suggests: | tidyvpc |
Please use the canonical form https://CRAN.R-project.org/package=vpc to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.