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: |
0.4.1 |
| 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: |
2024-01-10 |
| 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 |