plotSensitivityIndices

Plot sensitivity indices.
plotSensitivityIndices: plots for the evaluation of the gradient of the model responses.

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

plotSensitivityIndices function

<dl><dt>optimization</dt>
<dd>An <code>Optimization</code> object.</dd>
<dt>pfimproject</dt>
<dd>A object <code>PFIMProject</code> giving the Evaluation.</dd>
<dt>plotOptions</dt>
<dd>A list giving the plot options.</dd></dl>

Arguments

Plot sensitivity indices. — plotSensitivityIndices

<dl>

<dt>optimization</dt>
<dd>An <code>Optimization</code> object.</dd>


<dt>pfimproject</dt>
<dd>A object <code>PFIMProject</code> giving the Evaluation.</dd>


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

</dl>

plotSensitivityIndices: Plot sensitivity indices.

Description

Value

Arguments