reportTablesPlot

Generate all the table for the evaluation report

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

reportTablesPlot function

<dl><dt>object</dt>
<dd>An object <code>evaluation</code> from the class Evaluation.</dd>
<dt>plotOptions</dt>
<dd>A list containing the options for the plots.</dd></dl>

Arguments

Generate all the table for the evaluation report — reportTablesPlot

<dl>

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


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

</dl>

reportTablesPlot: Generate all the table for the evaluation report

Description

Usage

Value

Arguments