bgmm (1.6)

Gaussian Mixture Modeling algorithms. Including the belief-based mixture modeling..

The bgmm package implements two partially supervised mixture modeling methods: soft-label and belief-based modeling. 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.

Maintainer: Przemyslaw Biecek
Author(s): Przemyslaw Biecek \& Ewa Szczurek

License: GPL-3

Uses: car, combinat, lattice, mvtnorm

Released about 6 years ago.