npde.plot.splitcov

Plots split by covariate for a NpdeObject object (equivalent to using covsplit=TRUE with the appropriate plot.type)

plot

Provides routines to compute normalised prediction distribution errors, a metric designed to evaluate non-linear mixed effect models such as those used in pharmacokinetics and pharmacodynamics.

Emmanuelle Comets

npde

Normalised Prediction Distribution Errors for Nonlinear
Mixed-Effect Models

Karl Brendel

Thi Huyen Tram Nguyen

Marc Cerou

Romain Leroux

France Mentre

npde.plot.splitcov function

<dl><dt>npdeObject</dt>
<dd>an object returned by a call to <code>npde</code> or <code>autonpde</code></dd>
<dt>which.plot</dt>
<dd>one of "x" (scatterplots of the metric versus X), "pred" (scatterplots of the metric versus predictions), "ecdf" (empirical distribution function), "hist" (histogram), "qqplot"</dd>
<dt>...</dt>
<dd>additional arguments to be passed on to the function, to control which metric (npde, pd, npd) is used or to override graphical parameters (see the PDF document for details, as well as <code>set.plotoptions</code>)</dd></dl>

Arguments

Plots split by covariate for a NpdeObject object — npde.plot.splitcov

<dl>

<dt>npdeObject</dt>
<dd>an object returned by a call to <code>npde</code> or <code>autonpde</code></dd>


<dt>which.plot</dt>
<dd>one of "x" (scatterplots of the metric versus X), "pred" (scatterplots of the metric versus predictions), "ecdf" (empirical distribution function), "hist" (histogram), "qqplot"</dd>


<dt>...</dt>
<dd>additional arguments to be passed on to the function, to control which metric (npde, pd, npd) is used or to override graphical parameters (see the PDF document for details, as well as <code>set.plotoptions</code>)</dd>

</dl>

npde.plot.splitcov: Plots split by covariate for a NpdeObject object

Description

Usage

Value

Arguments