bclust: Bayesian Hierarchical Clustering Using Spike and Slab Models

Builds a dendrogram using log posterior as a natural distance defined by the model and meanwhile waits the clustering variables. It is also capable to computing equivalent Bayesian discrimination probabilities. The adopted method suites small sample large dimension setting. The model parameter estimation maybe difficult, depending on data structure and the chosen distribution family.

Version: 1.5
Depends: R (≥ 3.2.1), stats, grDevices, graphics
Published: 2015-09-15
Author: Vahid PARTOVI NIA and Anthony C. DAVISON
Maintainer: Vahid PARTOVI NIA <vpartovinia at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://bclust.r-forge.r-project.org/
NeedsCompilation: yes
Citation: bclust citation info
In views: Bayesian, Cluster
CRAN checks: bclust results


Reference manual: bclust.pdf
Package source: bclust_1.5.tar.gz
Windows binaries: r-devel: bclust_1.5.zip, r-release: bclust_1.5.zip, r-oldrel: bclust_1.4.zip
OS X Snow Leopard binaries: r-release: bclust_1.5.tgz, r-oldrel: bclust_1.4.tgz
OS X Mavericks binaries: r-release: bclust_1.4.tgz
Old sources: bclust archive