plotEvaluation

plotEvaluation: plots for the evaluation 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

plotEvaluation function

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

Arguments

plotEvaluation: plots for the evaluation of the model responses. — plotEvaluation

<dl>

<dt>pfimproject</dt>
<dd>A object <code>PFIMProject</code>.</dd>


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

</dl>

plotEvaluation: plotEvaluation: plots for the evaluation of the model responses.

Description

Value

Arguments