A general framework for finite mixtures of regression models using the EM algorithm is implemented. The E-step and all data handling are provided, 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] (<https://orcid.org/0000-0001-7265-4773>), Friedrich Leisch [aut] (<https://orcid.org/0000-0001-7278-1983>), Deepayan Sarkar [ctb] (<https://orcid.org/0000-0003-4107-1553>), Frederic Mortier [ctb], Nicolas Picard [ctb] (<https://orcid.org/0000-0001-5548-9171>)|
|Maintainer||Bettina Gruen <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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