DESCRIPTION

Package: corncob
Title: Count Regression for Correlated Observations with the Beta-Binomial
Version: 0.4.3
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: 7.3.3
Suggests: knitr,
    rmarkdown,
    testthat,
    covr,
    limma,
    slam,
    R.rsp,
    optimx,
    phyloseq,
    SummarizedExperiment
VignetteBuilder: knitr