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 gmail.com> |
| 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: asVPC_1.0.2.zip, r-release: asVPC_1.0.2.zip, r-oldrel: asVPC_1.0.2.zip |
| macOS binaries: | r-release: asVPC_1.0.2.tgz, r-oldrel: asVPC_1.0.2.tgz |
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