bgmm (version 1.8.5)

Gaussian Mixture Modeling Algorithms and the Belief-Based Mixture Modeling

Description

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 .

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Install

install.packages('bgmm')

Monthly Downloads

313

Version

1.8.5

License

GPL-3

Last Published

October 10th, 2021

Functions in bgmm (1.8.5)