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>Calculate percentiles below / above lloq / uloq
</p>

<table summary="R argblock">
<tr valign="top">
<td><code>x</code></td>
<td>
<p>data</p>
</td>
</tr>
<tr valign="top">
<td><code>limit</code></td>
<td>
<p>censoring limit</p>
</td>
</tr>
<tr valign="top">
<td><code>cens</code></td>
<td>
<p>censoring direction (left/right)</p>
</td>
</tr>
</table>

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

loq_perc

Description

Usage

Arguments

vpc

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`x`	data
`limit`	censoring limit
`cens`	censoring direction (left/right)