corncob
Count Regression for Correlated Observations with the Beta-Binomial
Statistical modeling for correlated count data using the beta-binomial distribution, described in Martin et al. (2020) doi:10.1214/19-AOAS1283. It allows for both mean and overdispersion covariates.
- Version0.4.1
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release01/10/2024
Documentation
Team
Amy D Willis
Daniela Witten
Show author detailsRolesAuthorBryan D Martin
Show author detailsRolesAuthorSarah Teichman
Show author detailsRolesContributorThomas W Yee
Show author detailsRolesContributorXiangjie Xue
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 515 times in the last 30 days. This could be a paper that people cite without reading. Reaching the medium popularity echelon is no small feat! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 8 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 6,391 times in the last 365 days. That's a lot of interest! Someone might even write a blog post about it. The day with the most downloads was Oct 30, 2024 with 46 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
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Dependencies
- Imports9 packages
- Suggests7 packages