Fim-class

A class storing information regarding the Fisher computation matrix.
Type of the Fisher information: population ("PopulationFIM"), individual ("IndividualFIM") or Bayesian ("BayesianFIM").
The computation method for population and Bayesian matrix is first order linearisation (FO).

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

Fim-class function

Objects form the class <code>Fim</code> can be created by calls of the form <code>Fim(...)</code> where
(...) are the parameters for the <code>Fim</code> objects.

Objects from the class

<dl>
<dt><code>isOptimizationResult</code>:</dt>
<dd>A Boolean giving TRUE for an optimization result and FALSE an evaluation result.</dd></dl><dt><code>mfisher</code>:</dt>
<dd>A matrix of numeric giving the Fisher information.</dd><dt><code>omega</code>:</dt>
<dd>A matrix of numeric giving the variances.</dd><dt><code>mu</code>:</dt>
<dd>A matrix of numeric giving the means.</dd><dt><code>fim_comput_method</code>:</dt>
<dd>Name of the method used to approximate the population matrix : character strings, 'FO'</dd>

Slots for <code>Fim</code> objects

Class "Fim" representing the Fisher information matrix,
a parent class used by three classes PopulationFim, IndividualFim and BayesianFim. — Fim-class

Objects form the class <code>Fim</code> can be created by calls of the form <code>Fim(...)</code> where
(...) are the parameters for the <code>Fim</code> objects.

<dl>
<dt><code>isOptimizationResult</code>:</dt>
<dd>A Boolean giving TRUE for an optimization result and FALSE an evaluation result.</dd>

<dt><code>mfisher</code>:</dt>
<dd>A matrix of numeric giving the Fisher information.</dd>

<dt><code>omega</code>:</dt>
<dd>A matrix of numeric giving the variances.</dd>

<dt><code>mu</code>:</dt>
<dd>A matrix of numeric giving the means.</dd>

<dt><code>fim_comput_method</code>:</dt>
<dd>Name of the method used to approximate the population matrix : character strings, 'FO'</dd>


</dl>

Fim-class: Class "Fim" representing the Fisher information matrix, a parent class used by three classes PopulationFim, IndividualFim and BayesianFim.

Description

Arguments

Objects from the class

Slots for <code>Fim</code> objects