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

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

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,...

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Bibliographic Details
Main Authors: Emmanuelle Comets, Audrey Lavenu, Marc Lavielle
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2017-08-01
Series:Journal of Statistical Software
Subjects:
nonlinear mixed effect models
stochastic approximation EM algorithm
pharmacokinetics
pharmacodynamics
theophylline
orange tree
S4 classes
Online Access:https://www.jstatsoft.org/index.php/jss/article/view/2399

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