PGBOAlgorithm-class

PGBOAlgorithm

The Class "PGBOAlgorithm" implements the PGBO algortihm : Population Genetics Based Optimizer,
developped by Hervé Le Nagard [1].

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

PGBOAlgorithm-class function

Objects form the Class <code>PGBOAlgorithm</code> can be created by calls of the form <code>PGBOAlgorithm(...)</code> where
(...) are the parameters for the <code>PGBOAlgorithm</code> objects.

Objects from the Class <code>PGBOAlgorithm</code>

<dl>
 <dt><code>N</code>:</dt>
<dd>A numeric giving the population size.</dd> <dt><code>muteEffect</code>:</dt>
<dd>A numeric giving the mutation effect.</dd> <dt><code>max_iteration</code>:</dt>
<dd>A numeric giving the maximum of iterations.</dd> <dt><code>iteration_fin</code>:</dt>
<dd>A numeric giving the last iteration.</dd> <dt><code>showProcess</code>:</dt>
<dd>A boolean to show or not the process.</dd> <dt><code>OptimalDesign</code>:</dt>
<dd>A <code>Design</code> object giving the optimal design.</dd> <dt><code>resultsPGBO</code>:</dt>
<dd>A list giving the optimal D-criterion computed during the process.</dd> 
</dl>

Slots for <code>PGBOAlgorithm</code> objects

Class "PGBOAlgorithm" — PGBOAlgorithm-class

Objects form the Class <code>PGBOAlgorithm</code> can be created by calls of the form <code>PGBOAlgorithm(...)</code> where
(...) are the parameters for the <code>PGBOAlgorithm</code> objects.

<dl>
 <dt><code>N</code>:</dt>
<dd>A numeric giving the population size.</dd>

 <dt><code>muteEffect</code>:</dt>
<dd>A numeric giving the mutation effect.</dd>

 <dt><code>max_iteration</code>:</dt>
<dd>A numeric giving the maximum of iterations.</dd>

 <dt><code>iteration_fin</code>:</dt>
<dd>A numeric giving the last iteration.</dd>

 <dt><code>showProcess</code>:</dt>
<dd>A boolean to show or not the process.</dd>

 <dt><code>OptimalDesign</code>:</dt>
<dd>A <code>Design</code> object giving the optimal design.</dd>

 <dt><code>resultsPGBO</code>:</dt>
<dd>A list giving the optimal D-criterion computed during the process.</dd>

 
</dl>

PGBOAlgorithm-class: Class "PGBOAlgorithm"

Description

Arguments

Objects from the Class <code>PGBOAlgorithm</code>

Slots for <code>PGBOAlgorithm</code> objects

References