PopulationFIMEvaluateVariance

Evaluate the Variance of a Population FIM

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

PopulationFIMEvaluateVariance function

<dl><dt>object</dt>
<dd>A <code>Response</code> object.</dd>
<dt>equations</dt>
<dd>An object of class <code>Response</code> containing the name of the reponse and the equation of the model error.</dd>
<dt>model_parameters</dt>
<dd>An object of class <code>ModelParameters</code> containing the values and the distributions of the model parameters.</dd>
<dt>administrations</dt>
<dd>An object of class <code>Administration</code> containing the parametrization for the administration of the model.</dd>
<dt>sampling_times</dt>
<dd>An object of class <code>SamplingTimes</code> containing the parametrization for the sampling times of the model.</dd>
<dt>df_total</dt>
<dd>parameter df_total</dd>
<dt>errorVariances</dt>
<dd>parameter errorVariances</dd>
<dt>sigmaDerivatives</dt>
<dd>parameter sigmaDerivatives</dd></dl>

Arguments

Evaluate the Variance of a Population FIM — PopulationFIMEvaluateVariance

<dl>

<dt>object</dt>
<dd>A <code>Response</code> object.</dd>


<dt>equations</dt>
<dd>An object of class <code>Response</code> containing the name of the reponse and the equation of the model error.</dd>


<dt>model_parameters</dt>
<dd>An object of class <code>ModelParameters</code> containing the values and the distributions of the model parameters.</dd>


<dt>administrations</dt>
<dd>An object of class <code>Administration</code> containing the parametrization for the administration of the model.</dd>


<dt>sampling_times</dt>
<dd>An object of class <code>SamplingTimes</code> containing the parametrization for the sampling times of the model.</dd>


<dt>df_total</dt>
<dd>parameter df_total</dd>


<dt>errorVariances</dt>
<dd>parameter errorVariances</dd>


<dt>sigmaDerivatives</dt>
<dd>parameter sigmaDerivatives</dd>

</dl>

Evaluate the Variance of a Population FIM

PopulationFIMEvaluateVariance: Evaluate the Variance of a Population FIM

Description

Usage

Value

Arguments