| bgmm-package {bgmm} | R Documentation |
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.
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/.
Author(s)
Przemyslaw Biecek \& Ewa Szczurek
Maintainer: Przemyslaw Biecek <P.Biecek@mimuw.edu.pl>
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
## Do not run
## It could take more than one minute
#demo(bgmm)
[Package bgmm version 1.8.5 Index]