plotOutcomesGradient

plotOutcomesGradient,Design-method

Plot the evaluation of the outcome gradients.

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

plotOutcomesGradient function

<dl><dt>object</dt>
<dd>An object <code>design</code> from the class Design.</dd>
<dt>outcomesGradientInitialDesign</dt>
<dd>A list with the evaluation of the gradient for the initial design.</dd>
<dt>model</dt>
<dd>An object <code>model</code> from the class Model.</dd>
<dt>plotOptions</dt>
<dd>A list containing the plot options.</dd></dl>

Arguments

plotOutcomesGradient — plotOutcomesGradient

<dl>

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


<dt>outcomesGradientInitialDesign</dt>
<dd>A list with the evaluation of the gradient for the initial design.</dd>


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


<dt>plotOptions</dt>
<dd>A list containing the plot options.</dd>

</dl>

plotOutcomesGradient: plotOutcomesGradient

Description

Usage

Value

Arguments