The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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: 0.4.1
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

Documentation:

Reference manual: corncob.pdf
Vignettes: Introduction to corncob, no phyloseq
Introduction to corncob

Downloads:

Package source: corncob_0.4.1.tar.gz
Windows binaries: r-devel: corncob_0.4.1.zip, r-release: corncob_0.4.1.zip, r-oldrel: corncob_0.4.1.zip
macOS binaries: r-release (arm64): corncob_0.4.1.tgz, r-oldrel (arm64): corncob_0.4.1.tgz, r-release (x86_64): corncob_0.4.1.tgz, r-oldrel (x86_64): corncob_0.4.1.tgz
Old sources: corncob archive

Reverse dependencies:

Reverse suggests: dar

Linking:

Please use the canonical form https://CRAN.R-project.org/package=corncob to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.