asVPC: Average Shifted Visual Predictive Checks

The visual predictive checks are well-known method to validate the nonlinear mixed effect model, especially in pharmacometrics area. The average shifted visual predictive checks are the newly developed method of Visual predictive checks combined with the idea of the average shifted histogram.

Version: 1.0.2
Imports: ggplot2, plyr
Suggests: Hmisc
Published: 2015-05-08
Author: Eun-Kyung Lee
Maintainer: Eun-Kyung Lee <lee.eunk at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: asVPC results


Reference manual: asVPC.pdf
Package source: asVPC_1.0.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: asVPC_1.0.2.tgz
OS X Mavericks binaries: r-oldrel: asVPC_1.0.2.tgz


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