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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.
Getting started
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Package details |
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| Author | Bryan D Martin [aut], Daniela Witten [aut], Sarah Teichman [ctb], Amy D Willis [aut, cre], Thomas W Yee [ctb] (VGAM library), Xiangjie Xue [ctb] (VGAM library) |
| Maintainer | Amy D Willis <adwillis@uw.edu> |
| License | GPL (>= 2) |
| Version | 0.4.1 |
| URL | https://github.com/statdivlab/corncob https://statdivlab.github.io/corncob/ |
| Package repository | View on CRAN |
| Installation |
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