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: |
0.2.8 |
Depends: |
R (≥ 3.5.0) |
Imports: |
methods, stats, ggplot2, coda, Rcpp, ggpubr |
LinkingTo: |
RcppArmadillo, Rcpp (≥ 0.12.13), RcppDist |
Published: |
2021-03-21 |
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 |
Downloads:
Reverse dependencies:
Linking:
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