Fitting finite mixtures of generalized linear regressions in R

Authors:
Bettina Grün;Friedrich Leisch
Affiliations:
Department of Statistics and Probability Theory, Vienna University of Technology, Wiedner Hauptstraíe 8-10/1071, A-1040 Wien, Austria;Department of Statistics, University of Munich, Ludwigstraíe 33, D-80539 München, Germany
Venue:
Computational Statistics & Data Analysis
Year:
2007

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Abstract

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.