setIterationAndCriteria

Set the iteration with the convergence criteria.

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

Emmanuelle Comets

Sylvie Retout

setIterationAndCriteria function

<dl><dt>object</dt>
<dd>An object from the class OptimizationAlgorithm.</dd>
<dt>value</dt>
<dd>A dataframe giving the iteration with the convergence criteria.</dd></dl>

Arguments

Set the iteration with the convergence criteria. — setIterationAndCriteria

<dl>

<dt>object</dt>
<dd>An object from the class OptimizationAlgorithm.</dd>


<dt>value</dt>
<dd>A dataframe giving the iteration with the convergence criteria.</dd>

</dl>

setIterationAndCriteria: Set the iteration with the convergence criteria.

Description

Usage

Value

Arguments