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.
|Author||Ron Keizer <[email protected]>|
|Maintainer||Ron Keizer <[email protected]>|
|License||MIT + file LICENSE|
|Package repository||View on GitHub|
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