Bayesian clustering using spike-and-slab hierarchical model, suitable for clustering high-dimensional data.

Documentation for package ‘bclust’ version 1.4

bclust	Bayesian agglomerative clustering for high dimensional data with variable selection.
bclustvs	bclustvs (Bayesian CLUSTering with Variable Selection) is a class
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 the transformed.par
meancss	computes statistics necessary for the evaluation of the log likelihood
profileplot	a plot useful to visualise replicated data
teethplot	produces teeth plot useful for demonstating a grouping on clustered subjects
viplot	variable importance plot