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.

Getting started

Package details

AuthorVahid PARTOVI NIA and Anthony C. DAVISON
MaintainerVahid PARTOVI NIA <vpartovinia@gmail.com>
LicenseGPL (>= 2)
URL http://bclust.r-forge.r-project.org/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

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bclust documentation built on May 2, 2019, 3:01 a.m.