adjustGradient

adjustGradient: adjust the gradient for the log normal distribution.

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

adjustGradient function

<dl><dt>distribution</dt>
<dd>An object <code>Distribution</code> giving the distribution.</dd>
<dt>gradient</dt>
<dd>The gradient of the model responses.</dd></dl>

Arguments

adjustGradient: adjust the gradient for the log normal distribution. — adjustGradient

<dl>

<dt>distribution</dt>
<dd>An object <code>Distribution</code> giving the distribution.</dd>


<dt>gradient</dt>
<dd>The gradient of the model responses.</dd>

</dl>

adjustGradient: adjustGradient: adjust the gradient for the log normal distribution.

Description

Value

Arguments