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>Convert the lower triangle of a covariance matrix to a full matrix object
</p>

<table summary="R argblock"><tr valign="top">
<td><code>vect</code></td>
<td>
<p>the lower triangle of a covariance matrix</p>
</td>
</tr></table>

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

triangle_to_full

Description

Usage

Arguments

vpc

We don't support your browser anymore