setOutcomesGradient

Set the results of the evaluation of the outcomes.

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

setOutcomesGradient function

<dl><dt>object</dt>
<dd>An object <code>Design</code> from the class Design.</dd>
<dt>outcomesGradient</dt>
<dd>A list containing the evaluation of the outcome gradients.</dd></dl>

Arguments

Set the results of the evaluation of the outcomes. — setOutcomesGradient

<dl>

<dt>object</dt>
<dd>An object <code>Design</code> from the class Design.</dd>


<dt>outcomesGradient</dt>
<dd>A list containing the evaluation of the outcome gradients.</dd>

</dl>

setOutcomesGradient: Set the results of the evaluation of the outcomes.

Description

Usage

Value

Arguments