corncob: Count Regression for Correlated Observations with the
Beta-Binomial
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:
0.4.2
Depends:
R (≥ 3.2)
Imports:
stats, utils,
VGAM,
numDeriv,
ggplot2,
trust,
dplyr,
magrittr,
detectseparation,
scales,
rlang
Published:
2025年03月29日
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 at uw.edu>
NeedsCompilation:
no
Documentation:
Downloads:
Reverse dependencies:
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