DESCRIPTION

Package: vpc
Title: Create Visual Predictive Checks
Version: 1.1.0
Date: 2018-08-27
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