Package: vpc
Title: Create Visual Predictive Checks
Version: 1.2.1
Date: 2020-05-28
Author: Ron Keizer <ronkeizer@gmail.com>
Maintainer: Ron Keizer <ronkeizer@gmail.com>
Description: 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.
Depends: R (>= 3.1.0)
Imports: classInt, dplyr, MASS, survival, ggplot2, readr, stringr,
        tidyr
License: MIT + file LICENSE
LazyData: true
URL: https://github.com/ronkeizer/vpc
Suggests: knitr, testit
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-05-29 22:06:42 UTC; ronkeizer
Repository: CRAN
Date/Publication: 2020-06-02 00:40:03 UTC
Built: R 3.6.3; ; 2020-08-05 07:22:23 UTC; windows
