EvaluateVarianceFIM

Evaluate the variance of the Fisher information matrix.

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

EvaluateVarianceFIM function

<dl><dt>object</dt>
<dd>An object from the class Fim.</dd>
<dt>model</dt>
<dd>An object from the class Model.</dd>
<dt>arm</dt>
<dd>An object from the class Arm.</dd>
<dt>modelEvaluation</dt>
<dd>A list containing the evaluation results.</dd>
<dt>modelVariance</dt>
<dd>A list containing the model variance.</dd></dl>

Arguments

Evaluate the variance of the Fisher information matrix. — EvaluateVarianceFIM

<dl>

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


<dt>model</dt>
<dd>An object from the class Model.</dd>


<dt>arm</dt>
<dd>An object from the class Arm.</dd>


<dt>modelEvaluation</dt>
<dd>A list containing the evaluation results.</dd>


<dt>modelVariance</dt>
<dd>A list containing the model variance.</dd>

</dl>

EvaluateVarianceFIM: Evaluate the variance of the Fisher information matrix.

Description

Usage

Value

Arguments