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.

Create Visual Predictive Checks

package-ubuntu-20.04-r-4.0.5#cran#vpc-1.2.2

<p>An example dataset with simulated repeated time-to-event data
</p>

<p>An object of class <code>data.frame</code> with 573 rows and 6 columns.
</p>

package-ubuntu-20.04-r-4.0.5#cran#vpc-1.2.2#docs#rtte_obs_nm

rtte_obs_nm

Description

Usage

Format

vpc

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