BNPmix: 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.

Version:	0.2.8
Depends:	R (≥ 3.5.0)
Imports:	methods, stats, ggplot2, coda, Rcpp, ggpubr
LinkingTo:	RcppArmadillo, Rcpp (≥ 0.12.13), RcppDist
Published:	2021-03-21
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_0.2.8.tar.gz
Windows binaries:	r-devel: BNPmix_0.2.8.zip, r-devel-UCRT: BNPmix_0.2.8.zip, r-release: BNPmix_0.2.8.zip, r-oldrel: BNPmix_0.2.8.zip
macOS binaries:	r-release (arm64): BNPmix_0.2.8.tgz, r-release (x86_64): BNPmix_0.2.8.tgz, r-oldrel: BNPmix_0.2.8.tgz
Old sources:	BNPmix archive

Reverse dependencies:

Reverse suggests:

BNPdensity

Linking:

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