corncob: Count Regression for Correlated Observations with the Beta-Binomial (original) (raw)
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:
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
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:
CRAN checks: