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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 + file LICENSE
URL: https://github.com/ronkeizer/vpc
NeedsCompilation: no
Materials: NEWS
In views: Pharmacokinetics
CRAN checks: vpc results

Documentation:

Reference manual: 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.

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.
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