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 object of class <code>list</code> of length 2.
</p>

<p>a list containing the obs and sim data for an example dataset to run a 
simple vpc.
</p>

## Not run: 
vpc(simple_data$sim, simple_data$obs)

## End(Not run)

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

simple_data

Description

Usage

Format

Details

Examples

vpc

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