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 |
| 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): not available, r-release (x86_64): corncob_0.2.0.tgz, r-oldrel: corncob_0.2.0.tgz |
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