Bmix (0.6)
Bayesian Sampling for Stick-Breaking Mixtures.
http://faculty.chicagobooth.edu/matt.taddy
http://cran.r-project.org/web/packages/Bmix
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.
Maintainer:
Matt Taddy
Author(s): Matt Taddy <taddy@chicagobooth.edu>
License: GPL (>= 2)
Uses: mvtnorm
Released about 3 years ago.
5 previous versions
- Bmix_0.5. Released almost 4 years ago.
- Bmix_0.4. Released about 4 years ago.
- Bmix_0.3. Released about 6 years ago.
- Bmix_0.2. Released over 9 years ago.
- Bmix_0.1. Released over 9 years ago.
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