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: | 1.1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | methods, stats,ggplot2,coda,Rcpp,ggpubr |
| LinkingTo: | RcppArmadillo,Rcpp (≥ 0.12.13),RcppDist |
| Suggests: | R.rsp |
| Published: | 2025-10-21 |
| 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 | fileLICENSE |
| NeedsCompilation: | yes |
| Citation: | BNPmix citation info |
| Materials: | README |
| CRAN checks: | BNPmix results[issues need fixing before 2026-01-15] |
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