CalculatedResidualVariance

Compute the residual variance thanks to the function g of the model error.

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

Hervé Le Nagard

Jérémy Seurat

Tran Bach Nguyen

Caroline Bazzoli

Emmanuelle Comets

Anne Dubois

Cyrielle Dumont

Giulia Lestini

Thi Huyen Tram Nguyen

Thu Thuy Nguyen

Sylvie Retout

CalculatedResidualVariance function

<dl><dt>objectStatisticalModel</dt>
<dd>A <code>StatisticalModel</code> object.</dd>
<dt>objectModelError</dt>
<dd>A <code>ModelError</code> object.</dd>
<dt>x_i</dt>
<dd>variable x_i of the model error.
#' @return CalculatedResidualVariance</dd></dl>

Arguments

Compute the residual variance thanks to the function g of the model error. — CalculatedResidualVariance

<dl>

<dt>objectStatisticalModel</dt>
<dd>A <code>StatisticalModel</code> object.</dd>


<dt>objectModelError</dt>
<dd>A <code>ModelError</code> object.</dd>


<dt>x_i</dt>
<dd>variable x_i of the model error.
#' @return CalculatedResidualVariance</dd>

</dl>

Compute the residual variance thanks to the function g of the model error.

CalculatedResidualVariance: Compute the residual variance thanks to the function g of the model error.

Description

Usage

Arguments