期刊
COMPUTATIONAL STATISTICS & DATA ANALYSIS
卷 51, 期 11, 页码 5247-5252出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.csda.2006.08.014
关键词
concomitant variable; finite mixture; fixed effect; generalized linear model; R
R package flexmix provides flexible modelling of finite mixtures of regression models using the EM algorithm. Several new features of the software such as fixed and nested varying effects for mixtures of generalized linear models and multinomial regression for a priori probabilities given concomitant variables are introduced. The use of the software in addition to model selection is demonstrated on a logistic regression example. (C) 2006 Elsevier B.V. All rights reserved.
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