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: 0.2.0
Depends: R (≥ 3.2)
Imports: stats, utils, optimr, VGAM, numDeriv, Matrix, ggplot2, trust, dplyr, magrittr, rmutil, detectseparation, scales, phyloseq
Suggests: knitr, rmarkdown, testthat, covr, limma, R.rsp
Published: 2021-03-11
Author: Bryan D Martin [aut, cre], Daniela Witten [aut], Amy D Willis [aut]
Maintainer: Bryan D Martin <bmartin6 at uw.edu>
BugReports: https://github.com/bryandmartin/corncob/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/bryandmartin/corncob
NeedsCompilation: no
Materials: README
CRAN checks: corncob results

Downloads:

Reference manual: corncob.pdf
Vignettes: Introduction to corncob
Package source: corncob_0.2.0.tar.gz
Windows binaries: r-devel: corncob_0.2.0.zip, r-release: corncob_0.2.0.zip, r-oldrel: corncob_0.2.0.zip
macOS binaries: r-release (arm64): corncob_0.2.0.tgz, r-release (x86_64): corncob_0.2.0.tgz, r-oldrel: corncob_0.2.0.tgz

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