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.
Package details |
|
---|---|
Maintainer | |
License | MIT + file LICENSE |
Version | 0.0.0.9000 |
URL | https://github.com/nsdumont/jDirichletMixtureModels |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.