parametersForComputingGradient

Parameters used for computing the model gradient by finite-differences.

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

parametersForComputingGradient function

<dl><dt>object</dt>
<dd>A <code>StatisticalModel</code> object.</dd></dl>

Arguments

Parameters used for computing the model gradient by finite-differences. — parametersForComputingGradient

<dl>

<dt>object</dt>
<dd>A <code>StatisticalModel</code> object.</dd>

</dl>

Parameters used for computing the model gradient by finite-differences.

parametersForComputingGradient: Parameters used for computing the model gradient by finite-differences.

Description

Usage

Value

Arguments