pasudyan/ConstrMixMod: MCMC methods for flexible mixture modeling on constrained spaces

This is an implementation of the MCMC methods use in the paper, Flexible Mixture Modeling on Constrained Spaces, by the author. It runs inference and prediction for mixture models in constrained spaces using Gibbs sampling methods. For more information check out the paper on Arxiv. URL: https://github.com/pasudyan

Getting started

Package details

Maintainer
License-
Version0.0.0.9000
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("pasudyan/ConstrMixMod")
pasudyan/ConstrMixMod documentation built on May 10, 2019, 8:26 a.m.