ModelError-class

ModelError

A class storing information concerning the model errors for the models in the LibraryOfModels.

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

ModelError-class function

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

Objects from the class

<dl>
<dt><code>equation</code>:</dt>
<dd>Expression giving the equations of the model.</dd></dl><dt><code>derivates</code>:</dt>
<dd>Expression giving the derivatives of the model.</dd><dt><code>sigma_inter, sigma_slope</code>:</dt>
<dd>Numerics giving the parameters for the residual variance error model.</dd><dt><code>c_error</code>:</dt>
<dd>A numeric taking the values 0 or 1.
The ModelError is Proportional when sigma_inter = 0 and c_error = 1.
The ModelError isProportionalC: When sigma_inter = 0 and c_error != 1.</dd>

Slots for Administration objects

Class "ModelError" representing a Model error. — ModelError-class

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

<dl>
<dt><code>equation</code>:</dt>
<dd>Expression giving the equations of the model.</dd>

<dt><code>derivates</code>:</dt>
<dd>Expression giving the derivatives of the model.</dd>

<dt><code>sigma_inter, sigma_slope</code>:</dt>
<dd>Numerics giving the parameters for the residual variance error model.</dd>

<dt><code>c_error</code>:</dt>
<dd>A numeric taking the values 0 or 1.
The ModelError is Proportional when sigma_inter = 0 and c_error = 1.
The ModelError isProportionalC: When sigma_inter = 0 and c_error != 1.</dd>


</dl>

ModelError-class: Class "ModelError" representing a Model error.

Description

Arguments

Objects from the class

Slots for Administration objects