Create Visual Predictive Checks

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.


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install.packages("vpc")

1.1.0 by Ron Keizer, a year ago


https://github.com/ronkeizer/vpc


Browse source code at https://github.com/cran/vpc


Authors: Ron Keizer <[email protected]>


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports classInt, dplyr, reshape2, MASS, survival, ggplot2, readr

Suggests knitr, testit


Imported by nlmixr, xpose.


See at CRAN