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

add_stratification(dat, strat, verbose = FALSE)

<table summary="R argblock">
<tr valign="top">
<td><code>dat</code></td>
<td>
<p>data.frame</p>
</td>
</tr>
<tr valign="top">
<td><code>strat</code></td>
<td>
<p>vector of stratification variables</p>
</td>
</tr>
<tr valign="top">
<td><code>verbose</code></td>
<td>
<p>verbosity ('TRUE' or 'FALSE')</p>
</td>
</tr>
</table>

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

add_stratification

Description

Usage

Arguments

vpc

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`dat`	data.frame
`strat`	vector of stratification variables
`verbose`	verbosity ('TRUE' or 'FALSE')