processArmEvaluationSI

processArmEvaluationSI: process for the evaluation of the gradient of the responses.

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

processArmEvaluationSI function

<dl><dt>arm</dt>
<dd>A object of class <code>Arm</code> giving the arm.</dd>
<dt>model</dt>
<dd>A object of class <code>Model</code> giving the model.</dd>
<dt>fim</dt>
<dd>A object of class <code>Fim</code> giving the fim.</dd>
<dt>designName</dt>
<dd>A string giving the name of the design.</dd></dl>

Arguments

processArmEvaluationSI: process for the evaluation of the gradient of the responses. — processArmEvaluationSI

<dl>

<dt>arm</dt>
<dd>A object of class <code>Arm</code> giving the arm.</dd>


<dt>model</dt>
<dd>A object of class <code>Model</code> giving the model.</dd>


<dt>fim</dt>
<dd>A object of class <code>Fim</code> giving the fim.</dd>


<dt>designName</dt>
<dd>A string giving the name of the design.</dd>

</dl>

processArmEvaluationSI: processArmEvaluationSI: process for the evaluation of the gradient of the responses.

Description

Value

Arguments