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.


Reference manual

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1.1.0 by Ron Keizer, 10 months ago

Browse source code at

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