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

Documentation:

Reference manual:

nonparametric.bayes.pdf

Downloads:

Package source:	nonparametric.bayes_0.0.1.tar.gz
Windows binaries:	r-devel: nonparametric.bayes_0.0.1.zip, r-release: nonparametric.bayes_0.0.1.zip, r-oldrel: nonparametric.bayes_0.0.1.zip
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

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