Package: corncob
Title: Count Regression for Correlated Observations with the
        Beta-Binomial
Version: 0.4.1
Authors@R: c(
    person("Bryan D", "Martin", role = "aut"),
    person("Daniela", "Witten", role = "aut"),
    person("Sarah", "Teichman", role = "ctb"),
    person("Amy D", "Willis", email = "adwillis@uw.edu", role = c("aut", "cre")), 
    person("Thomas W", "Yee", role = "ctb", comment = "VGAM library"), 
    person("Xiangjie", "Xue", role = "ctb", comment = "VGAM library")
  )
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/statdivlab/corncob,
        https://statdivlab.github.io/corncob/
BugReports: https://github.com/statdivlab/corncob/issues
Depends: R (>= 3.2)
License: GPL (>= 2)
Imports: stats, utils, VGAM, numDeriv, ggplot2, trust, dplyr, magrittr,
        detectseparation, scales, rlang
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
Suggests: knitr, rmarkdown, testthat, covr, limma, slam, R.rsp, optimx,
        phyloseq
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-01-10 20:23:01 UTC; sarahteichman
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@uw.edu>
Repository: CRAN
Date/Publication: 2024-01-10 21:03:05 UTC
Built: R 4.4.2; ; 2024-12-14 15:00:51 UTC; unix
