plot.cvRemix

Calibration plot for cvRemix object.

Implementation of an algorithm in two steps to estimate parameters of a model whose latent dynamics are inferred through latent processes, jointly regularized. This package uses 'Monolix' software (<https://monolixsuite.slp-software.com/>), which provide robust statistical method for non-linear mixed effects modeling. 'Monolix' must have been installed prior to use.

Auriane Gabaut

REMixed

Regularized Estimation in Mixed Effects Model

Ariane Bercu

Mélanie Prague

Cécile Proust-Lima

plot.cvRemix function

<dl><dt>x</dt>
<dd>output of <code>cv.remix</code>.</dd>
<dt>criterion</dt>
<dd>which criterion function to take into account. Default is the function 'BICc", but one can use 'BIC', 'AIC', 'eBIC' or any function depending on a `cvRemix` object.</dd>
<dt>trueValue</dt>
<dd>-for simulation purposes- named vector of true value for parameters.</dd>
<dt>...</dt>
<dd>opptional additional arguments.</dd></dl>

Arguments

Plot of cv.remix object — plot.cvRemix

<dl>

<dt>x</dt>
<dd>output of <code>cv.remix</code>.</dd>


<dt>criterion</dt>
<dd>which criterion function to take into account. Default is the function 'BICc", but one can use 'BIC', 'AIC', 'eBIC' or any function depending on a `cvRemix` object.</dd>


<dt>trueValue</dt>
<dd>-for simulation purposes- named vector of true value for parameters.</dd>


<dt>...</dt>
<dd>opptional additional arguments.</dd>

</dl>

plot.cvRemix: Plot of cv.remix object

Description

Usage

Value

Arguments

See Also