Bmix (version 0.6)

Bayesian Sampling for Stick-Breaking Mixtures

Description

This is a bare-bones implementation of sampling algorithms for a variety of Bayesian stick-breaking (marginally DP) mixture models, including particle learning and Gibbs sampling for static DP mixtures, particle learning for dynamic BAR stick-breaking, and DP mixture regression. The software is designed to be easy to customize to suit different situations and for experimentation with stick-breaking models. Since particles are repeatedly copied, it is not an especially efficient implementation.

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Install

install.packages('Bmix')

Monthly Downloads

73

Version

0.6

License

GPL (>= 2)

Maintainer

Last Published

February 7th, 2016

Functions in Bmix (0.6)