setDerivatives

Set the derivatives of the model error equation.

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

setDerivatives function

<dl><dt>object</dt>
<dd>An object from the class ModelError.</dd>
<dt>derivatives</dt>
<dd>The derivatives of the model error equation.</dd></dl>

Arguments

Set the derivatives of the model error equation. — setDerivatives

<dl>

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


<dt>derivatives</dt>
<dd>The derivatives of the model error equation.</dd>

</dl>

setDerivatives: Set the derivatives of the model error equation.

Description

Usage

Value

Arguments