plotEvaluationResults

plotEvaluationResults: process for the evaluation of the responses.

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

plotEvaluationResults function

<dl><dt>arm</dt>
<dd>A object of class <code>Arm</code> giving the arm.</dd>
<dt>evaluationModel</dt>
<dd>A list giving the evaluation of the model.</dd>
<dt>outputNames</dt>
<dd>A list of string giving the output of the evaluation of the model.</dd>
<dt>samplingData</dt>
<dd>A list giving the sampling data from the method getSamplingData.</dd>
<dt>unitXAxis</dt>
<dd>A list giving the unit of the x-axis.</dd>
<dt>unitYAxis</dt>
<dd>A list giving the unit of the y-axis.</dd>
<dt>designName</dt>
<dd>A string giving the design name.</dd></dl>

Arguments

plotEvaluationResults: process for the evaluation of the responses. — plotEvaluationResults

<dl>

<dt>arm</dt>
<dd>A object of class <code>Arm</code> giving the arm.</dd>


<dt>evaluationModel</dt>
<dd>A list giving the evaluation of the model.</dd>


<dt>outputNames</dt>
<dd>A list of string giving the output of the evaluation of the model.</dd>


<dt>samplingData</dt>
<dd>A list giving the sampling data from the method getSamplingData.</dd>


<dt>unitXAxis</dt>
<dd>A list giving the unit of the x-axis.</dd>


<dt>unitYAxis</dt>
<dd>A list giving the unit of the y-axis.</dd>


<dt>designName</dt>
<dd>A string giving the design name.</dd>

</dl>

plotEvaluationResults: plotEvaluationResults: process for the evaluation of the responses.

Description

Value

Arguments