getNumberOfsamplingsOptimisable

getNumberOfsamplingsOptimisable,SamplingTimeConstraints-method

Get the number of sampling times that are optimisable.

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

getNumberOfsamplingsOptimisable function

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

Arguments

Get the number of sampling times that are optimisable. — getNumberOfsamplingsOptimisable

<dl>

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

</dl>

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getNumberOfsamplingsOptimisable: Get the number of sampling times that are optimisable.

Description

Usage

Value

Arguments