drvalle1/EcoCluster: Bayesian Clustering using Truncated Stick-Breaking priors

An implementation of three different types of Bayesian clustering methods: mixture models, stochastic block models, and species archetype models. The number of clusters is automatically estimated from the data using a Bayesian nonparametric approach based on truncated Stick-Breaking priors.

install.packages("remotes")
remotes::install_github("drvalle1/EcoCluster")