nsdumont/jDirichletMixtureModels: Dirichlet Mixture Models for Clustering using Julia backend

This package provides utilities for clustering using Dirichlet Process mixture models using Julia for backend computation. It supports a number of existing conjugate distribution pairs, as well as user-specified distributions. Currently, the package only supports clustering using conjugate distributions using the methods in Markov Chain Sampling Methods for Dirichlet Process Mixture Models by Radford Neal. Clustering using non-conjugate distributions is under active development. Julia is a high-level, high-performance dynamic programming language for numerical computing. This package is based on the Julia package DirichletMixtureModels (see https://github.com/krylea/DirichletMixtureModels.jl), which is being co-developed alongside this package.

Getting started

Package details

Maintainer
LicenseMIT + file LICENSE
Version0.0.0.9000
URL https://github.com/nsdumont/jDirichletMixtureModels
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("nsdumont/jDirichletMixtureModels")
nsdumont/jDirichletMixtureModels documentation built on April 23, 2018, 12:22 a.m.