vpc: Create Visual Predictive Checks (original) (raw)
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: | 1.2.2 |
|---|---|
| Depends: | R (≥ 3.1.0) |
| Imports: | classInt, dplyr, MASS, survival, ggplot2, readr, stringr, tidyr |
| Suggests: | knitr, testit |
| Published: | 2021-01-11 |
| DOI: | 10.32614/CRAN.package.vpc |
| Author: | Ron Keizer |
| Maintainer: | Ron Keizer |
| License: | MIT + file |
| URL: | https://github.com/ronkeizer/vpc |
| NeedsCompilation: | no |
| Materials: | NEWS |
| In views: | Pharmacokinetics |
| CRAN checks: | vpc results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=vpcto link to this page.