Package: corncob Title: Count Regression for Correlated Observations with the Beta-Binomial Version: 0.4.3 Authors@R: c( person("Bryan D", "Martin", role = "aut"), person("Daniela", "Witten", role = "aut"), person("Sarah", "Teichman", role = "ctb"), person("Amy D", "Willis", email = "adwillis@uw.edu", role = c("aut", "cre")), person("Thomas W", "Yee", role = "ctb", comment = "VGAM library"), person("Xiangjie", "Xue", role = "ctb", comment = "VGAM library") ) Description: Statistical modeling for correlated count data using the beta-binomial distribution, described in Martin et al. (2020) . It allows for both mean and overdispersion covariates. URL: https://github.com/statdivlab/corncob, https://statdivlab.github.io/corncob/ BugReports: https://github.com/statdivlab/corncob/issues Depends: R (>= 3.2) License: GPL (>= 2) Imports: stats, utils, VGAM, numDeriv, ggplot2, trust, dplyr, magrittr, detectseparation, scales, rlang Encoding: UTF-8 LazyData: true RoxygenNote: 7.3.3 Suggests: knitr, rmarkdown, testthat, covr, limma, slam, R.rsp, optimx, phyloseq, SummarizedExperiment VignetteBuilder: knitr Config/pak/sysreqs: cmake make libuv1-dev Repository: https://statdivlab.r-universe.dev Date/Publication: 2025-11-13 18:19:04 UTC RemoteUrl: https://github.com/statdivlab/corncob RemoteRef: HEAD RemoteSha: d7ac4c8a3f757eef6c7d8006431494528ead8e92 NeedsCompilation: no Packaged: 2026-06-11 08:22:20 UTC; root 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