corncob: Count Regression for Correlated Observations with the Beta-Binomial

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: 0.3.2
Depends: R (≥ 3.2)
Imports: stats, utils, optimr, VGAM, numDeriv, ggplot2, trust, dplyr, magrittr, detectseparation, scales, phyloseq
Suggests: knitr, rmarkdown, testthat, covr, limma, slam, R.rsp
Published: 2023-08-31
Author: Bryan D Martin [aut, cre], Daniela Witten [aut], Amy D Willis [aut]
Maintainer: Bryan D Martin <bmartin6 at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README
CRAN checks: corncob results


Reference manual: corncob.pdf
Vignettes: Introduction to corncob


Package source: corncob_0.3.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): corncob_0.3.2.tgz, r-release (x86_64): not available, r-oldrel (x86_64): corncob_0.3.2.tgz
Old sources: corncob archive

Reverse dependencies:

Reverse imports: benchdamic


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