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.
| Version: | 0.4.2 |
| 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 |
| Published: | 2025-03-29 |
| DOI: | 10.32614/CRAN.package.corncob |
| 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 at uw.edu> |
| BugReports: | https://github.com/statdivlab/corncob/issues |
| License: | GPL-2 |GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/statdivlab/corncob,https://statdivlab.github.io/corncob/ |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | corncob results |