Bmix: Bayesian Sampling for Stick-Breaking Mixtures

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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.

Author
Matt Taddy <taddy@chicagobooth.edu>
Date of publication
2016-02-07 09:18:19
Maintainer
Matt Taddy <taddy@chicagobooth.edu>
License
GPL (>= 2)
Version
0.6
URLs

View on CRAN

Man pages

mix
Bayesian inference for (dynamic) stick-breaking mixtures
particle
Reading particle files

Files in this package

Bmix
Bmix/src
Bmix/src/matrix.cc
Bmix/src/Makevars
Bmix/src/randomkit.h
Bmix/src/rvtools.c
Bmix/src/rhelp.c
Bmix/src/rvtools.h
Bmix/src/latools.h
Bmix/src/randomkit.c
Bmix/src/rhelp.h
Bmix/src/mix.cc
Bmix/src/particle.cc
Bmix/src/particle.h
Bmix/src/latools.c
Bmix/src/matrix.h
Bmix/NAMESPACE
Bmix/demo
Bmix/demo/pines.R
Bmix/demo/bar2D.R
Bmix/demo/alpha.R
Bmix/demo/DPreg.R
Bmix/demo/bar1D.R
Bmix/demo/00Index
Bmix/R
Bmix/R/mix.R
Bmix/MD5
Bmix/DESCRIPTION
Bmix/man
Bmix/man/mix.Rd
Bmix/man/particle.Rd