plotSensitivityIndice

plotSensitivityIndice,Evaluation-method

Graphs of the results of the evaluation.

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

Emmanuelle Comets

Sylvie Retout

plotSensitivityIndice function

<dl><dt>object</dt>
<dd>An object from the class Evaluation.</dd>
<dt>plotOptions</dt>
<dd>A list giving the plot options.</dd></dl>

Arguments

Graphs of the results of the evaluation. — plotSensitivityIndice

<dl>

<dt>object</dt>
<dd>An object from the class Evaluation.</dd>


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

</dl>

plotSensitivityIndice: Graphs of the results of the evaluation.

Description

Usage

Value

Arguments