bclust: Bayesian Hierarchical Clustering Using Spike and Slab Models

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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.

Author
Vahid PARTOVI NIA and Anthony C. DAVISON
Date of publication
2015-08-27 17:06:01
Maintainer
Vahid PARTOVI NIA <vpartovinia@gmail.com>
License
GPL (>= 2)
Version
1.5
URLs

View on R-Forge

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

Files in this package

bclust/DESCRIPTION
bclust/NAMESPACE
bclust/R
bclust/R/bclust.R
bclust/R/zzz.R
bclust/data
bclust/data/gaelle.rda
bclust/inst
bclust/inst/CITATION
bclust/man
bclust/man/bclust.Rd
bclust/man/bclustvs.Rd
bclust/man/bdiscrim.Rd
bclust/man/ditplot.Rd
bclust/man/dptplot.Rd
bclust/man/gaelle.Rd
bclust/man/imp.Rd
bclust/man/loglikelihood.Rd
bclust/man/meancss.Rd
bclust/man/profileplot.Rd
bclust/man/teethplot.Rd
bclust/man/viplot.Rd
bclust/src
bclust/src/ClusteringvsGAL05.c
bclust/src/Makevars