Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
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Authors: Bettina Grün, Friedrich Leisch
Title: FlexMix Version 2: Finite Mixtures with Concomitant Variables and Varying and Constant Parameters
Abstract: flexmix provides infrastructure for flexible fitting of finite mixture models in R using the expectation-maximization (EM) algorithm or one of its variants. The functionality of the package was enhanced. Now concomitant variable models as well as varying and constant parameters for the component specific generalized linear regression models can be fitted. The application of the package is demonstrated on several examples, the implementation described and examples given to illustrate how new drivers for the component specific models and the concomitant variable models can be defined.

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Paper: FlexMix Version 2: Finite Mixtures with Concomitant Variables and Varying and Constant Parameters     Download PDF (Downloads: 8944)
Supplements:
flexmix_2.2-0.tar.gz: R source package Download (Downloads: 1884; 1MB)
v28i04.R: R example code from the paper Download (Downloads: 2289; 10KB)
v28i04-concomitant.R: R driver code for concomitant variable model Download (Downloads: 1675; 707B)
v28i04-ziglm.R: R driver code for zero-inflated model Download (Downloads: 1671; 1KB)
DOI: 10.18637/jss.v028.i04

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.