define_loq

Check and standardize limits of quantification

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

define_loq function

<dl><dt>lloq</dt>
<dd>Number or NULL indicating lower limit of quantification. Default is NULL.</dd>
<dt>uloq</dt>
<dd>Number or NULL indicating upper limit of quantification. Default is NULL.</dd>
<dt>pred_corr</dt>
<dd>perform prediction-correction?</dd>
<dt>pred_corr_lower_bnd</dt>
<dd>lower bound for the prediction-correction</dd>
<dt>require_loq</dt>
<dd>Is at least one of <code>lloq</code> or <code>uloq</code> required?</dd></dl>

Arguments

Check and standardize limits of quantification — define_loq

<dl>

<dt>lloq</dt>
<dd>Number or NULL indicating lower limit of quantification. Default is NULL.</dd>


<dt>uloq</dt>
<dd>Number or NULL indicating upper limit of quantification. Default is NULL.</dd>


<dt>pred_corr</dt>
<dd>perform prediction-correction?</dd>


<dt>pred_corr_lower_bnd</dt>
<dd>lower bound for the prediction-correction</dd>


<dt>require_loq</dt>
<dd>Is at least one of <code>lloq</code> or <code>uloq</code> required?</dd>

</dl>

define_loq: Check and standardize limits of quantification

Description

Usage

Value

Arguments