bgmm: Gaussian Mixture Modeling Algorithms and the Belief-Based Mixture Modeling
Version 1.8.3

Two partially supervised mixture modeling methods: soft-label and belief-based modeling are implemented. For completeness, we equipped the package also with the functionality of unsupervised, semi- and fully supervised mixture modeling. The package can be applied also to selection of the best-fitting from a set of models with different component numbers or constraints on their structures. For detailed introduction see: Przemyslaw Biecek, Ewa Szczurek, Martin Vingron, Jerzy Tiuryn (2012), The R Package bgmm: Mixture Modeling with Uncertain Knowledge, Journal of Statistical Software .

Package details

AuthorPrzemyslaw Biecek \& Ewa Szczurek
Date of publication2017-02-27 11:44:36
MaintainerPrzemyslaw Biecek <[email protected]>
LicenseGPL-3
Version1.8.3
URL http://bgmm.molgen.mpg.de/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("bgmm")

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bgmm documentation built on May 29, 2017, 3:37 p.m.