Count Regression for Correlated Observations with the Beta-Binomial R package corncob version 0.4.2 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. Software Depends: R (>= 3.2) Imports: stats, utils, VGAM, numDeriv, ggplot2, trust, dplyr, magrittr, detectseparation, scales, rlang Suggests: knitr, rmarkdown, testthat, covr, limma, slam, R.rsp, optimx, phyloseq Amy D Willis <adwillis@uw.edu> Comprehensive R Archive Network (CRAN) 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) GPL (>= 2) 2025-03-29 application/tgz https://CRAN.R-project.org/package=corncob doi:10.32614/CRAN.package.corncob