MixMatrix
Classification with Matrix Variate Normal and t Distributions
Provides sampling and density functions for matrix variate normal, t, and inverted t distributions; ML estimation for matrix variate normal and t distributions using the EM algorithm, including some restrictions on the parameters; and classification by linear and quadratic discriminant analysis for matrix variate normal and t distributions described in Thompson et al. (2019) doi:10.1080/10618600.2019.1696208. Performs clustering with matrix variate normal and t mixture models.
- Version0.2.8
- R version≥ 3.5.0
- LicenseGPL-3
- Needs compilation?Yes
- Languageen-us
- Last release09/30/2024
Documentation
Team
Geoffrey Thompson
B. D. Ripley
Show author detailsRolesContributor, Copyright holderW. N. Venables
Show author detailsRolesContributor, Copyright holder
Insights
Last 30 days
This package has been downloaded 386 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 4 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 8,121 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 02, 2024 with 92 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.
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Dependencies
- Imports3 packages
- Suggests8 packages
- Linking To2 packages
- Reverse Imports2 packages