BNPmix-package: BNPmix: Bayesian Nonparametric Mixture Models
In BNPmix: Bayesian Nonparametric Mixture Models
BNPmix-package R Documentation
BNPmix: Bayesian Nonparametric Mixture Models
Description
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) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.18637/jss.v100.i15")} for more details.
Author(s)
Maintainer: Riccardo Corradin riccardo.corradin@gmail.com
Other contributors:
Antonio Canale [contributor]
Bernardo Nipoti [contributor]
BNPmix documentation built on Nov. 5, 2025, 5:07 p.m.
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| BNPmix-package | R Documentation |
BNPmix: Bayesian Nonparametric Mixture Models
Description
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) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.18637/jss.v100.i15")} for more details.
Author(s)
Maintainer: Riccardo Corradin riccardo.corradin@gmail.com
Other contributors:
Antonio Canale [contributor]
Bernardo Nipoti [contributor]
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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