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

<table summary="R argblock"><tr valign="top">
<td><code>...</code></td>
<td>
<p>pass arguments to 'new_vpc_theme'</p>
</td>
</tr></table>

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

create_vpc_theme

Description

Usage

Arguments

vpc

We don't support your browser anymore