EvaluateModelODEInfusion

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

EvaluateModelODEInfusion function

<dl><dt>object</dt>
<dd>An <code>EvaluateModelODEInfusion</code> object.</dd>
<dt>samplingTimesModel</dt>
<dd>A vector containing the sampling times.</dd>
<dt>cond_init_ode</dt>
<dd>A vector containing the initial conditions.</dd>
<dt>inputsModel</dt>
<dd>A list containing the inputs of the models.</dd>
<dt>parametersGradient</dt>
<dd>A list containing the gradients of the model.</dd>
<dt>computeFIM</dt>
<dd>A boolean for computing the FIM or not.</dd></dl>

Arguments

Evaluate an ODE model in infusion — EvaluateModelODEInfusion

<dl>

<dt>object</dt>
<dd>An <code>EvaluateModelODEInfusion</code> object.</dd>


<dt>samplingTimesModel</dt>
<dd>A vector containing the sampling times.</dd>


<dt>cond_init_ode</dt>
<dd>A vector containing the initial conditions.</dd>


<dt>inputsModel</dt>
<dd>A list containing the inputs of the models.</dd>


<dt>parametersGradient</dt>
<dd>A list containing the gradients of the model.</dd>


<dt>computeFIM</dt>
<dd>A boolean for computing the FIM or not.</dd>

</dl>

Evaluate an ODE model in infusion

EvaluateModelODEInfusion: Evaluate an ODE model in infusion

Description

Usage

Value

Arguments