FlexMix Version 2: Finite Mixtures with Concomitant Variables and Varying and Constant Parameters

FlexMix Version 2: Finite Mixtures with Concomitant Variables and Varying and Constant Parameters

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 spe...

Full description

Bibliographic Details
Main Authors: Bettina Grun, Friedrich Leisch
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2008-09-01
Series:Journal of Statistical Software
Online Access:http://www.jstatsoft.org/v28/i04/paper
id doaj-f0276d39dfde4ca88600f5620dacd900
record_format Article
spelling doaj-f0276d39dfde4ca88600f5620dacd9002020-11-24T23:20:09ZengFoundation for Open Access StatisticsJournal of Statistical Software1548-76602008-09-01284FlexMix Version 2: Finite Mixtures with Concomitant Variables and Varying and Constant ParametersBettina GrunFriedrich Leischflexmix 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.http://www.jstatsoft.org/v28/i04/paper
collection DOAJ
language English
format Article
sources DOAJ
author Bettina Grun
Friedrich Leisch
spellingShingle Bettina Grun
Friedrich Leisch
FlexMix Version 2: Finite Mixtures with Concomitant Variables and Varying and Constant Parameters
Journal of Statistical Software
author_facet Bettina Grun
Friedrich Leisch
author_sort Bettina Grun
title FlexMix Version 2: Finite Mixtures with Concomitant Variables and Varying and Constant Parameters
title_short FlexMix Version 2: Finite Mixtures with Concomitant Variables and Varying and Constant Parameters
title_full FlexMix Version 2: Finite Mixtures with Concomitant Variables and Varying and Constant Parameters
title_fullStr FlexMix Version 2: Finite Mixtures with Concomitant Variables and Varying and Constant Parameters
title_full_unstemmed FlexMix Version 2: Finite Mixtures with Concomitant Variables and Varying and Constant Parameters
title_sort flexmix version 2: finite mixtures with concomitant variables and varying and constant parameters
publisher Foundation for Open Access Statistics
series Journal of Statistical Software
issn 1548-7660
publishDate 2008-09-01
description 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.
url http://www.jstatsoft.org/v28/i04/paper
work_keys_str_mv AT bettinagrun flexmixversion2finitemixtureswithconcomitantvariablesandvaryingandconstantparameters
AT friedrichleisch flexmixversion2finitemixtureswithconcomitantvariablesandvaryingandconstantparameters
_version_ 1725575744616136704

Similar Items