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

Documentation for package ‘bclust’ version 1.1

bclust	Bayesian agglomerative clustering for high dimensional data with variable selection.
bclustvs	bclustvs (Bayesian CLUSTering with Variable Selection) is an object
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