nonparametric.bayes: Project Code - Nonparametric Bayes (original) (raw)

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.

Version: 0.0.1
Imports: mvtnorm, progress
Published: 2021-11-29
DOI: 10.32614/CRAN.package.nonparametric.bayes
Author: Erik-Cristian SeuleanORCID iD [aut, cre]
Maintainer: Erik-Cristian Seulean
License: MIT + file
NeedsCompilation: no
Materials: README
CRAN checks: nonparametric.bayes results

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