generateSamplingsFromSamplingConstraints

generateSamplingsFromSamplingConstraints,SamplingTimeConstraints-method

Generate samplings from sampling constraints

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

Jérémy Seurat

Lucie Fayette

Emmanuelle Comets

Sylvie Retout

generateSamplingsFromSamplingConstraints function

<dl><dt>object</dt>
<dd>An object from the class SamplingTimeConstraints.</dd></dl>

Arguments

Generate samplings from sampling constraints — generateSamplingsFromSamplingConstraints

<dl>

<dt>object</dt>
<dd>An object from the class SamplingTimeConstraints.</dd>

</dl>

generateSamplingsFromSamplingConstraints: Generate samplings from sampling constraints

Description

Usage

Value

Arguments