Parameter Estimation in Nonlinear Mixed Effect Models Using saemix, an R Implementation of the SAEM Algorithm

被引：0

作者：

Comets, Emmanuelle ^{[1
,2
]}

Lavenu, Audrey ^{[1
]}

Lavielle, Marc ^{[3
]}

机构：

[1] U Rennes I, INSERM CIC 1414, Rennes, France

[2] U Paris Diderot, INSERM, IAME, UMR 1137, Paris, France

[3] U Paris Sud, INRIA Saclay, Popix, Paris, France

来源：

JOURNAL OF STATISTICAL SOFTWARE | 2017年 / 80卷 / 03期

关键词：

nonlinear mixed effect models; stochastic approximation EM algorithm; pharmacokinetics; pharmacodynamics; theophylline; orange tree; S4; classes; MAXIMUM-LIKELIHOOD; INFORMATION MATRIX; OPTIMAL-DESIGN; APPROXIMATION; CONVERGENCE; TESTS;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The saemix package for R provides maximum likelihood estimates of parameters in nonlinear mixed effect models, using a modern and efficient estimation algorithm, the stochastic approximation expectation maximisation (SAEM) algorithm. In the present paper we describe the main features of the package, and apply it to several examples to illustrate its use. Making use of S4 classes and methods to provide user-friendly interaction, this package provides a new estimation tool to the R community.

引用

页码：1 / 41

页数：41

共 45 条

[1]

[Anonymous], 1997, The language of technical computing. Version 5.0

[2]

[Anonymous], 20 M POP APPR GROUP

[3] Fitting Linear Mixed-Effects Models Using lme4 [J].

Bates, Douglas ;

Maechler, Martin ;

Bolker, Benjamin M. ;

Walker, Steven C. .

JOURNAL OF STATISTICAL SOFTWARE, 2015, 67 (01) :1-48

[4] Some Alternatives to Asymptotic Tests for the Analysis of Pharmacogenetic Data Using Nonlinear Mixed Effects Models [J].

Bertrand, Julie ;

Comets, Emmanuelle ;

Chenel, Marylore ;

Mentre, France .

BIOMETRICS, 2012, 68 (01) :146-155

[5] Comparison of Model-Based Tests and Selection Strategies to Detect Genetic Polymorphisms Influencing Pharmacokinetic Parameters [J].

Bertrand, Julie ;

Comets, Emmanuelle ;

Mentre, France .

JOURNAL OF BIOPHARMACEUTICAL STATISTICS, 2008, 18 (06) :1084-1102

[6]

Boeckmann AJ., 1994, NONMEM users guide: Part v

[7] Metrics for external model evaluation with an application to the population pharmacokinetics of gliclazide [J].

Brendel, Karl ;

Comets, Emmanuelle ;

Laffont, Celine ;

Laveille, Christian ;

Mentre, France .

PHARMACEUTICAL RESEARCH, 2006, 23 (09) :2036-2049

[8]

Burnham K. P., 2002, A practical information-theoretic approach: model selection and multimodel inference

[9]

Comets E, 2001, J Biopharm Stat, V11, P107, DOI 10.1081/BIP-100107652

[10]

Comets E, 2017, SAEMIX STOCHASTIC AP

← 1 2 3 4 5 →