BNPmix: Algorithms for Pitman-Yor Process Mixtures

Performs Bayesian nonparametric univariate and multivariate density estimation and clustering by means of Pitman-Yor mixtures and Dependent Dirichlet process mixtures for partially exchangeable data.

Version: 0.1.2
Depends: R (≥ 3.3.0)
Imports: methods, ggplot2
LinkingTo: RcppArmadillo, Rcpp (≥ 0.12.13)
Published: 2019-05-18
Author: Riccardo Corradin [aut, cre], Antonio Canale [ctb], Bernardo Nipoti [ctb]
Maintainer: Riccardo Corradin <riccardo.corradin at gmail.com>
License: LGPL-3 | file LICENSE
NeedsCompilation: yes
Materials: README
CRAN checks: BNPmix results

Downloads:

Reference manual: BNPmix.pdf
Package source: BNPmix_0.1.2.tar.gz
Windows binaries: r-devel: BNPmix_0.1.1.zip, r-release: BNPmix_0.1.1.zip, r-oldrel: BNPmix_0.1.1.zip
OS X binaries: r-release: BNPmix_0.1.1.tgz, r-oldrel: BNPmix_0.1.1.tgz
Old sources: BNPmix archive

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