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.
copied from cf-staging / r-vpc| Label | Latest Version |
|---|---|
| main | 1.2.2 |
| cf202003 | 1.1.0 |
