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: 0.2.9
Depends: R (≥ 3.5.0)
Imports: methods, stats, ggplot2, coda, Rcpp, ggpubr
LinkingTo: RcppArmadillo, Rcpp (≥ 0.12.13), RcppDist
Suggests: R.rsp
Published: 2021-07-25
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

Documentation:

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

Downloads:

Package source: BNPmix_0.2.9.tar.gz
Windows binaries: r-devel: BNPmix_0.2.9.zip, r-devel-UCRT: BNPmix_0.2.9.zip, r-release: BNPmix_0.2.9.zip, r-oldrel: BNPmix_0.2.9.zip
macOS binaries: r-release (arm64): BNPmix_0.2.9.tgz, r-release (x86_64): BNPmix_0.2.9.tgz, r-oldrel: BNPmix_0.2.9.tgz
Old sources: BNPmix archive

Reverse dependencies:

Reverse suggests: BNPdensity

Linking:

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