EvaluateStatisticalModel

Evaluate a statistical model for all the administrations and all the sampling times of an arm.

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

Hervé Le Nagard

Jérémy Seurat

Tran Bach Nguyen

Caroline Bazzoli

Emmanuelle Comets

Anne Dubois

Cyrielle Dumont

Giulia Lestini

Thi Huyen Tram Nguyen

Thu Thuy Nguyen

Sylvie Retout

EvaluateStatisticalModel function

<dl><dt>object</dt>
<dd>An object <code>Arm</code> from the class Arm.</dd>
<dt>statistical_model</dt>
<dd>An object from the class <code>StatisticalModel</code> or <code>ODEStatisticalModel</code>.</dd>
<dt>fim</dt>
<dd>Character string giving the type of the Fisher Information Matrix: "PopulationFim", "IndividualFim", "BayesianFim".</dd></dl>

Arguments

Evaluate a statistical model for all the administrations and all the sampling times of an arm. — EvaluateStatisticalModel

<dl>

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


<dt>statistical_model</dt>
<dd>An object from the class <code>StatisticalModel</code> or <code>ODEStatisticalModel</code>.</dd>


<dt>fim</dt>
<dd>Character string giving the type of the Fisher Information Matrix: "PopulationFim", "IndividualFim", "BayesianFim".</dd>

</dl>

Evaluate a statistical model for all the administrations and all the sampling times of an arm.

EvaluateStatisticalModel: Evaluate a statistical model for all the administrations and all the sampling times of an arm.

Description

Usage

Value

Arguments