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The package provides some basic implementation of a Gibbs sampler for a Chinese Restaurant Process along with some visual aids to help understand how the sampling works.

This is developed as part of a postgraduate school project for an Advanced Bayesian Nonparametric course. It is inspired by Tamara Broderick’s presentation on Nonparametric Bayesian statistics given at the Simons institute.

Example usages

require(nonparametric.bayes)

generate_dirichlet_clusters(10, 10)
cluster_datapoints(split_data$x, sigma0=diag(3^2, 2))

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.