EvaluateModel

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

EvaluateModel function

<dl><dt>object</dt>
<dd>An object <code>EvaluateModel</code>.</dd>
<dt>samplingTimesModel</dt>
<dd>A vector containing the sampling times.</dd>
<dt>inputsModel</dt>
<dd>A list containing the models input.</dd>
<dt>computeFIM</dt>
<dd>A boolean for computing the FIM or not (plot or evaluation).</dd></dl>

Arguments

Evaluate an analytic model. — EvaluateModel

<dl>

<dt>object</dt>
<dd>An object <code>EvaluateModel</code>.</dd>


<dt>samplingTimesModel</dt>
<dd>A vector containing the sampling times.</dd>


<dt>inputsModel</dt>
<dd>A list containing the models input.</dd>


<dt>computeFIM</dt>
<dd>A boolean for computing the FIM or not (plot or evaluation).</dd>

</dl>

Evaluate an analytic model.

EvaluateModel: Evaluate an analytic model.

Description

Usage

Value

Arguments