plotOutcomesEvaluation

plotOutcomesEvaluation,Design-method

Plot the evaluation of the outcomes.

Evaluate or optimize designs for nonlinear mixed effects models using the Fisher Information matrix. Methods used in the package refer to
Mentré F, Mallet A, Baccar D (1997) <doi:10.1093/biomet/84.2.429>,
Retout S, Comets E, Samson A, Mentré F (2007) <doi:10.1002/sim.2910>,
Bazzoli C, Retout S, Mentré F (2009) <doi:10.1002/sim.3573>,
Le Nagard H, Chao L, Tenaillon O (2011) <doi:10.1186/1471-2148-11-326>,
Combes FP, Retout S, Frey N, Mentré F (2013) <doi:10.1007/s11095-013-1079-3> and
Seurat J, Tang Y, Mentré F, Nguyen TT (2021) <doi:10.1016/j.cmpb.2021.106126>.

Romain Leroux

PFIM

Population Fisher Information Matrix

France Mentré

Jérémy Seurat

Lucie Fayette

plotOutcomesEvaluation function

<dl><dt>object</dt>
<dd>An object <code>Design</code> from the class Design.</dd>
<dt>outcomesEvaluationInitialDesign</dt>
<dd>A list containing the evaluation of the initial design.</dd>
<dt>model</dt>
<dd>An object <code>model</code> from the class Model.</dd>
<dt>plotOptions</dt>
<dd>A list containing the plot options.</dd></dl>

Arguments

plotOutcomesEvaluation — plotOutcomesEvaluation

<dl>

<dt>object</dt>
<dd>An object <code>Design</code> from the class Design.</dd>


<dt>outcomesEvaluationInitialDesign</dt>
<dd>A list containing the evaluation of the initial design.</dd>


<dt>model</dt>
<dd>An object <code>model</code> from the class Model.</dd>


<dt>plotOptions</dt>
<dd>A list containing the plot options.</dd>

</dl>

plotOutcomesEvaluation: plotOutcomesEvaluation

Description

Usage

Value

Arguments