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 |