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: | 1.1.0 |
| Depends: | R (≥ 3.1.0) |
| Imports: | classInt, dplyr, reshape2, MASS, survival, ggplot2, readr |
| Suggests: | knitr, testit |
| Published: | 2018-08-27 |
| 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_1.1.0.tar.gz |
| Windows binaries: | r-devel: vpc_1.1.0.zip, r-release: vpc_1.1.0.zip, r-oldrel: vpc_1.1.0.zip |
| OS X binaries: | r-release: vpc_1.1.0.tgz, r-oldrel: vpc_1.1.0.tgz |
| Old sources: | vpc archive |
| Reverse imports: | nlmixr, xpose |
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