bclust: Bayesian Hierarchical Clustering Using Spike and Slab Models
Version 1.5

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.

Browse man pages Browse package API and functions Browse package files

AuthorVahid PARTOVI NIA and Anthony C. DAVISON
Date of publication2015-08-27 17:06:01
MaintainerVahid PARTOVI NIA <vpartovinia@gmail.com>
LicenseGPL (>= 2)
Version1.5
URL http://bclust.r-forge.r-project.org/
Package repositoryView on R-Forge
InstallationInstall the latest version of this package by entering the following in R:
install.packages("bclust", repos="http://R-Forge.R-project.org")

Man pages

bclust: Bayesian agglomerative clustering for high dimensional data...
bclustvs: bclustvs (Bayesian CLUSTering with Variable Selection) is a...
bdiscrim: discrimination using a Bayesian linear model
ditplot: dendrogram-image-teeth plot
dptplot: dendrogram-profile-teeth plot
gaelle: Messerli et. al. metabolomic data
imp: calculates variable and variable-cluster importances
loglikelihood: computes the model log likelihood useful for estimation of...
meancss: computes statistics necessary for the evaluation of the log...
profileplot: a plot useful to visualise replicated data
teethplot: produces teeth plot useful for demonstating a grouping on...
viplot: variable importance plot

Functions

bclust Man page Source code
bclustvs Man page
bdiscrim Man page Source code
ditplot Man page Source code
dptplot Man page Source code
gaelle Man page
imp Man page Source code
loglikelihood Man page Source code
meancss Man page Source code
profileplot Man page Source code
teethplot Man page Source code
viplot Man page Source code

Files

DESCRIPTION
NAMESPACE
R
R/bclust.R
R/zzz.R
data
data/gaelle.rda
inst
inst/CITATION
man
man/bclust.Rd
man/bclustvs.Rd
man/bdiscrim.Rd
man/ditplot.Rd
man/dptplot.Rd
man/gaelle.Rd
man/imp.Rd
man/loglikelihood.Rd
man/meancss.Rd
man/profileplot.Rd
man/teethplot.Rd
man/viplot.Rd
src
src/ClusteringvsGAL05.c
src/Makevars
bclust documentation built on May 21, 2017, 1 a.m.