bclustvs: bclustvs (Bayesian CLUSTering with Variable Selection) is a...

In bclust: Bayesian Hierarchical Clustering Using Spike and Slab Models

Description

The bclustvs object can be regarded as a Bayesian extension of the hclust object that additionally contains information of a Bayesian dendrogram. You can convert any bclustvs object to a dendrogram object using as.dendrogram.

Value

data	The data matrix, reordered according to rep.id.
repno	The number of replicates of the values of rep.id
merge	The merge matrix in hclust object format.
height	A monotone vector referring to the height of the constructed tree.
logposterior	The log posterior for each merge.
clust.number	The number of clusters in each merge.
cut	The value of the height corresponding to the maximum of the log posterior in agglomerative path.
transformed.par	The transformed values of the model parameters. The log transformation is applied for the variance parameters, the identity for the mean, and the logit for the proportions.
labels	The labels associated to each clustering type.
effect.family	The distribution assigned to the disappearing random effect.
var.select	Availability of variable selection chosen in the function arguments.

bclust documentation built on May 2, 2019, 3:01 a.m.