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bgmm (version 1.8.5)

bgmm-package: Belief-Based Gaussian Mixture Modeling

Description

This package implements partially supervised mixture modeling methods: soft-label and belief-based modeling, the semi-supervised methods and for completeness also unsupervised and fully supervised methods for mixture modeling.

Arguments

Details

Package: bgmm
Type: Package
Version: 1.8
Date: 2017-02-22
License: GPL-3
LazyLoad: yes

For short overview see the webpage http://bgmm.molgen.mpg.de/rapBGMM/.

References

Przemyslaw Biecek, Ewa Szczurek, Martin Vingron, Jerzy Tiuryn (2012), The R Package bgmm: Mixture Modeling with Uncertain Knowledge, Journal of Statistical Software.

See Also

Package for unsupervised learning of Gaussian mixture model link{mclust}, methods for supervised learning link{MASS::lda()}, link{MASS::qda()}.

Examples

Run this code
# NOT RUN {
## Do not run
## It could take more than one minute
#demo(bgmm)
# }

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