Package: vpc
Title: Create Visual Predictive Checks
Version: 1.0.0
Date: 2017-09-21
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, reshape2, MASS, survival, ggplot2, readr
License: MIT + file LICENSE
LazyData: true
URL: https://github.com/ronkeizer/vpc
Suggests: knitr, testit
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-22 03:50:06 UTC; ronkeizer
Repository: CRAN
Date/Publication: 2017-09-22 09:04:42 UTC
