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.
- Version1.0.2
- R version≥ 3.5.0
- LicenseLGPL-3
- LicenseLICENSE
- Needs compilation?Yes
- BNPmix citation info
- Last release07/15/2022
Documentation
Team
Riccardo Corradin
MaintainerShow author detailsAntonio Canale
Show author detailsRolesContributorBernardo Nipoti
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 334 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 2 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 4,477 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Sep 11, 2024 with 53 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports4 packages
- Suggests1 package
- Linking To3 packages
- Reverse Suggests1 package