A general framework for finite mixtures of regression models using the EM algorithm is implemented. The package provides the E-step and all data handling, while the M-step can be supplied by the user to easily define new models. Existing drivers implement mixtures of standard linear models, generalized linear models and model-based clustering.
|Author||Bettina Gruen [aut, cre], Friedrich Leisch [aut], Deepayan Sarkar [ctb], Frederic Mortier [ctb], Nicolas Picard [ctb]|
|Date of publication||2017-04-28 07:28:55 UTC|
|Maintainer||Bettina Gruen <Bettina.Gruen@jku.at>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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