multicmp
Flexible Modeling of Multivariate Count Data via the Multivariate Conway-Maxwell-Poisson Distribution
A toolkit containing statistical analysis models motivated by multivariate forms of the Conway-Maxwell-Poisson (COM-Poisson) distribution for flexible modeling of multivariate count data, especially in the presence of data dispersion. Currently the package only supports bivariate data, via the bivariate COM-Poisson distribution described in Sellers et al. (2016) doi:10.1016/j.jmva.2016.04.007. Future development will extend the package to higher-dimensional data.
- Version1.1
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release06/29/2018
Team
Diag Davenport
Kimberly Sellers
Show author detailsRolesAuthorNarayanaswamy Balakrishnan
Show author detailsRolesAuthorDarcy Steeg Morris
Show author detailsRolesAuthor
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Last 30 days
This package has been downloaded 195 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 6 times.
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Last 365 days
This package has been downloaded 2,440 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 Nov 19, 2024 with 56 downloads.
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Dependencies
- Imports1 package