Bayesian Nonparametric Mixture Models

Functions to perform Bayesian nonparametric univariate and multivariate density estimation and clustering, by means of Pitman-Yor mixtures, and dependent Dirichlet process mixtures for partially exchangeable data. See Corradin et al. (2021) for more details.

BNPmix

An efficient C++ based package to model density distributions via Bayesian nonparametric methods in R.

Prerequisite and how to install

The BNPmix package is based on RcppArmadillo tools, the GitHub version is a source pack. To install the BNPmix package, if it is not present, it is necessary to install previously the 'devtools' package:

install.packages('devtools')

Finally, it is possible to get the BNPmix package installing by the source code on GitHub:

library(devtools)
install_github("rcorradin/BNPmix")