nonparametric.bayes: Project Code - Nonparametric Bayes

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
Author: Erik-Cristian Seulean ORCID iD [aut, cre]
Maintainer: Erik-Cristian Seulean <erikseulean at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: nonparametric.bayes results


Reference manual: nonparametric.bayes.pdf


Package source: nonparametric.bayes_0.0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): nonparametric.bayes_0.0.1.tgz, r-oldrel (arm64): nonparametric.bayes_0.0.1.tgz, r-release (x86_64): nonparametric.bayes_0.0.1.tgz, r-oldrel (x86_64): nonparametric.bayes_0.0.1.tgz


Please use the canonical form to link to this page.