LogNormalDistribution-class

LogNormalDistribution

Class <code>LogNormalDistribution</code> represent a Log-Normal distribution with
mean <code>mean_log_Gaussian</code> and standard deviation <code>sd_log_Gaussian</code>.

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

LogNormalDistribution-class function

LogNormalDistribution objects
are typically created by calls to <code>\ {pfim}</code> and contain the following slots:
<dl>
<dt><code>mean_log_Gaussian</code>:</dt>
<dd>A numeric givnig the mean of the log Normal Distribution.</dd><dt><code>sd_log_Gaussian</code>:</dt>
<dd>A numeric giving the standard deviation of the log Normal Distribution.</dd>
</dl>

Objects from the Class

Class "LogNormalDistribution" — LogNormalDistribution-class

LogNormalDistribution objects
are typically created by calls to <code>\ {pfim}</code> and contain the following slots:
<dl>
<dt><code>mean_log_Gaussian</code>:</dt>
<dd>A numeric givnig the mean of the log Normal Distribution.</dd>

<dt><code>sd_log_Gaussian</code>:</dt>
<dd>A numeric giving the standard deviation of the log Normal Distribution.</dd>


</dl>

Class "LogNormalDistribution"

LogNormalDistribution-class: Class "LogNormalDistribution"

Description

Arguments

Objects from the Class