initialize,PSOAlgorithm-method

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

initialize,PSOAlgorithm-method function

<dl><dt>.Object</dt>
<dd>.Object</dd>
<dt>maxIteration</dt>
<dd>maxIteration</dd>
<dt>populationSize</dt>
<dd>populationSize</dd>
<dt>personalLearningCoefficient</dt>
<dd>personalLearningCoefficient</dd>
<dt>globalLearningCoefficient</dt>
<dd>globalLearningCoefficient</dd>
<dt>seed</dt>
<dd>seed</dd>
<dt>showProcess</dt>
<dd>showProcess</dd>
<dt>optimalDesign</dt>
<dd>optimalDesign</dd>
<dt>iterationAndCriteria</dt>
<dd>iterationAndCriteria</dd></dl>

Arguments

initialize — initialize,PSOAlgorithm-method

<dl>

<dt>.Object</dt>
<dd>.Object</dd>


<dt>maxIteration</dt>
<dd>maxIteration</dd>


<dt>populationSize</dt>
<dd>populationSize</dd>


<dt>personalLearningCoefficient</dt>
<dd>personalLearningCoefficient</dd>


<dt>globalLearningCoefficient</dt>
<dd>globalLearningCoefficient</dd>


<dt>seed</dt>
<dd>seed</dd>


<dt>showProcess</dt>
<dd>showProcess</dd>


<dt>optimalDesign</dt>
<dd>optimalDesign</dd>


<dt>iterationAndCriteria</dt>
<dd>iterationAndCriteria</dd>

</dl>

initialize,PSOAlgorithm-method: initialize

Description

Usage

Value

Arguments