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 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-release (x86_64): nonparametric.bayes_0.0.1.tgz, r-oldrel: nonparametric.bayes_0.0.1.tgz

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