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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
DOI: 10.32614/CRAN.package.BNPmix
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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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