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.

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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
InstallationInstall the latest version of this package by entering the following in R:
install.packages("baybi", repos="http://R-Forge.R-project.org")

Man pages

baybiclust: Bayesian Biclustering Function with Importance
baybiplot: plots a baybimp object

Functions

baybiclust Man page Source code
baybiplot Man page Source code

Files

DESCRIPTION
NAMESPACE
R
R/baybiclust.R
R/zzz.R
data
data/julien.rda
man
man/baybiclust.Rd
man/baybiplot.Rd
src
src/Makevars
src/cbaybi.c
baybi documentation built on May 21, 2017, 3:49 a.m.