Package: corncob
Title: Count Regression for Correlated Observations with the
        Beta-Binomial
Version: 0.3.1
Authors@R: c(
    person("Bryan D", "Martin", email = "bmartin6@uw.edu", role = c("aut", "cre")),
    person("Daniela", "Witten", email = "dwitten@uw.edu", role = "aut"),
    person("Amy D", "Willis", email = "adwillis@uw.edu", role = "aut")
  )
Description: 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.
URL: https://github.com/bryandmartin/corncob
BugReports: https://github.com/bryandmartin/corncob/issues
Depends: R (>= 3.2)
License: GPL (>= 2)
Imports: stats, utils, optimr, VGAM, numDeriv, ggplot2, trust, dplyr,
        magrittr, detectseparation, scales, phyloseq
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.1
Suggests: knitr, rmarkdown, testthat, covr, limma, slam, R.rsp
VignetteBuilder: knitr, R.rsp
NeedsCompilation: no
Packaged: 2022-12-05 19:31:20 UTC; bmartin1
Author: Bryan D Martin [aut, cre],
  Daniela Witten [aut],
  Amy D Willis [aut]
Maintainer: Bryan D Martin <bmartin6@uw.edu>
Repository: CRAN
Date/Publication: 2022-12-05 20:00:02 UTC
Built: R 4.1.3; ; 2023-04-17 17:28:41 UTC; windows
