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: 1.0.1
Depends: R (≥ 3.1.0)
Imports: classInt, dplyr, reshape2, MASS, survival, ggplot2, readr
Suggests: knitr, testit
Published: 2018-01-23
Author: Ron Keizer
Maintainer: Ron Keizer <ronkeizer at gmail.com>
License: MIT + file LICENSE
URL: https://github.com/ronkeizer/vpc
NeedsCompilation: no
CRAN checks: vpc results

Downloads:

Reference manual: vpc.pdf
Package source: vpc_1.0.1.tar.gz
Windows binaries: r-prerel: vpc_1.0.1.zip, r-release: vpc_1.0.1.zip, r-oldrel: vpc_1.0.1.zip
OS X binaries: r-prerel: vpc_1.0.1.tgz, r-release: vpc_1.0.1.tgz
Old sources: vpc archive

Reverse dependencies:

Reverse imports: xpose

Linking:

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