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. See Corradin et al. (2021) <doi:10.18637/jss.v100.i15> for more details.

Version:	1.0.2
Depends:	R (≥ 3.5.0)
Imports:	methods, stats, ggplot2, coda, Rcpp, ggpubr
LinkingTo:	RcppArmadillo, Rcpp (≥ 0.12.13), RcppDist
Suggests:	R.rsp
Published:	2022-07-15
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
Citation:	BNPmix citation info
Materials:	README
CRAN checks:	BNPmix results

Documentation:

Reference manual:	BNPmix.pdf
Vignettes:	R packages: LaTeX vignettes

Downloads:

Package source:	BNPmix_1.0.2.tar.gz
Windows binaries:	r-devel: BNPmix_1.0.2.zip, r-release: BNPmix_1.0.2.zip, r-oldrel: BNPmix_1.0.2.zip
macOS binaries:	r-release (arm64): BNPmix_1.0.2.tgz, r-oldrel (arm64): BNPmix_1.0.2.tgz, r-release (x86_64): BNPmix_1.0.2.tgz, r-oldrel (x86_64): BNPmix_1.0.2.tgz
Old sources:	BNPmix archive

Reverse dependencies:

Reverse suggests:

BNPdensity

Linking:

Please use the canonical form https://CRAN.R-project.org/package=BNPmix to link to this page.