plotRSE

Plot relative standard errors
plotRSE: bar plot of the RSE.

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

plotRSE function

<dl><dt>optimization</dt>
<dd>An <code>Optimization</code> object.</dd>
<dt>pfimproject</dt>
<dd>A object <code>PFIMProject</code> giving the Evaluation.</dd></dl>

Arguments

Plot relative standard errors — plotRSE

<dl>

<dt>optimization</dt>
<dd>An <code>Optimization</code> object.</dd>


<dt>pfimproject</dt>
<dd>A object <code>PFIMProject</code> giving the Evaluation.</dd>

</dl>

plotRSE: Plot relative standard errors

Description

Value

Arguments