pgmm
Parsimonious Gaussian Mixture Models
Carries out model-based clustering or classification using parsimonious Gaussian mixture models. McNicholas and Murphy (2008), McNicholas (2010), McNicholas and Murphy (2010), McNicholas et al. (2010).
- Version1.2.7
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- McNicholas and Murphy (2008)
- McNicholas (2010)
- McNicholas and Murphy (2010)
- McNicholas et al. (2010)
- Last release09/25/2023
Documentation
Team
Paul D. McNicholas
MaintainerShow author detailsT. Brendan Murphy
Show author detailsRolesAuthorAisha ElSherbiny
Show author detailsRolesAuthorK. Raju Jampani
Show author detailsRolesContributorAaron F. McDaid
Show author detailsRolesAuthorLarry Banks
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 1,221 times in the last 30 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 22 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 9,990 times in the last 365 days. Impressive! The kind of number that makes colleagues ask, 'How did you do it?' The day with the most downloads was Oct 22, 2024 with 104 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
- Reverse Imports2 packages