flexmix version 2: finite mixtures with concomitant variables and varying and constant parameters

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ID: 247396
2008
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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.
Reference Key
grun2008journalflexmix Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Bettina Grun;Friedrich Leisch
Journal open geospatial data, software and standards
Year 2008
DOI
DOI not found
URL
http://www.jstatsoft.org/v28/i04/paper
Keywords
statistics

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