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: 1.0.0
Depends: R (≥ 3.1.0)
Imports: classInt, dplyr, reshape2, MASS, survival, ggplot2, readr
Suggests: knitr, testit
Published: 2017-09-22
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


Reference manual: vpc.pdf
Package source: vpc_1.0.0.tar.gz
Windows binaries: r-devel: vpc_1.0.0.zip, r-release: vpc_1.0.0.zip, r-oldrel: vpc_1.0.0.zip
OS X El Capitan binaries: r-release: vpc_1.0.0.tgz
OS X Mavericks binaries: r-oldrel: vpc_1.0.0.tgz


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