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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 |
| Author: | Ron Keizer |
| Maintainer: | Ron Keizer <ronkeizer at gmail.com> |
| License: | MIT + file LICENSE |
| URL: | https://github.com/ronkeizer/vpc |
| NeedsCompilation: | no |
| Materials: | NEWS |
| In views: | Pharmacokinetics |
| CRAN checks: | vpc results |
| Reference manual: | vpc.pdf |
| Package source: | vpc_1.2.2.tar.gz |
| Windows binaries: | r-devel: vpc_1.2.2.zip, r-release: vpc_1.2.2.zip, r-oldrel: vpc_1.2.2.zip |
| macOS binaries: | r-release (arm64): vpc_1.2.2.tgz, r-oldrel (arm64): vpc_1.2.2.tgz, r-release (x86_64): vpc_1.2.2.tgz, r-oldrel (x86_64): vpc_1.2.2.tgz |
| Old sources: | vpc archive |
| Reverse imports: | nlmixr2plot, xpose, xpose.nlmixr2 |
| Reverse suggests: | tidyvpc |
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These binaries (installable software) and packages are in development.
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