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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.
Getting started
Browse package contents
Package details |
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| Author | Riccardo Corradin [aut, cre], Antonio Canale [ctb], Bernardo Nipoti [ctb] |
| Maintainer | Riccardo Corradin <riccardo.corradin@gmail.com> |
| License | LGPL-3 | file LICENSE |
| Version | 1.0.2 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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