add_stratification

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.

Ron Keizer

Create Visual Predictive Checks

Bill Denney

add_stratification function

<dl><dt>dat</dt>
<dd>An input data.frame or similar object</dd>
<dt>stratify</dt>
<dd>character vector of stratification variables. Only 1 or 2 stratification variables can be supplied.</dd>
<dt>verbose</dt>
<dd>verbosity (`TRUE` or `FALSE`)</dd></dl>

Arguments

Adds stratification to data set — add_stratification

<dl>

<dt>dat</dt>
<dd>An input data.frame or similar object</dd>


<dt>stratify</dt>
<dd>character vector of stratification variables. Only 1 or 2 stratification variables can be supplied.</dd>


<dt>verbose</dt>
<dd>verbosity (`TRUE` or `FALSE`)</dd>

</dl>

add_stratification: Adds stratification to data set

Description

Usage

Arguments