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,...
Main Authors: | Emmanuelle Comets, Audrey Lavenu, Marc Lavielle |
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Format: | Article |
Language: | English |
Published: |
Foundation for Open Access Statistics
2017-08-01
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Series: | Journal of Statistical Software |
Subjects: | |
Online Access: | https://www.jstatsoft.org/index.php/jss/article/view/2399 |
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