baybi: Bayesian Biclustering with Subject and Variable Importance
Version 1.0

The package builds a dendrogram for subjects and variables with log posterior of a simple linear model. After data are grouped the Bayes Factor of a mixture versus a single component is given as an importance measure. Model hyperparameters are needed to be given or estimated from data to apply the algorithm.

Getting started

Package details

AuthorVahid PARTOVI NIA
Date of publication2014-11-24 23:57:13
MaintainerVahid PARTOVI NIA <partovi@math.mcgill.ca>
LicenseGPL (>= 2)
Version1.0
Package repositoryView on R-Forge
Installation Install the latest version of this package by entering the following in R:
install.packages("baybi", repos="http://R-Forge.R-project.org")

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baybi documentation built on May 31, 2017, 4:46 a.m.