generateReportEvaluation

generateReportEvaluation: generate the report for the model evaluation.
generateReportEvaluation: generate the report for the model evaluation.
generateReportEvaluation: generate the report for the model 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

generateReportEvaluation function

<dl><dt>fim</dt>
<dd>An object <code>PopulationFim</code> giving the Fim.</dd>
<dt>tablesForReport</dt>
<dd>The output list giving by the method tablesForReport.</dd></dl>

Arguments

generateReportEvaluation: generate the report for the model evaluation. — generateReportEvaluation

<dl>

<dt>fim</dt>
<dd>An object <code>PopulationFim</code> giving the Fim.</dd>


<dt>tablesForReport</dt>
<dd>The output list giving by the method tablesForReport.</dd>

</dl>

generateReportEvaluation: generateReportEvaluation: generate the report for the model evaluation.

Description

Value

Arguments