CRAN/E | corncob

corncob

Count Regression for Correlated Observations with the Beta-Binomial

Installation

About

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.

github.com/bryandmartin/corncob
Bug report File report

Key Metrics

Version 0.3.2
R ≥ 3.2
Published 2023-08-31 239 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks corncob results

Downloads

Yesterday 41 +52%
Last 7 days 152 -2%
Last 30 days 589 -16%
Last 90 days 1.842 +89%
Last 365 days 6.631 +9%

Maintainer

Maintainer

Bryan D Martin

bmartin6@uw.edu

Authors

Bryan D Martin

aut / cre

Daniela Witten

aut

Amy D Willis

aut

Material

README
Reference manual
Package source

Vignettes

Introduction to corncob

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

corncob archive

Depends

R ≥ 3.2

Imports

stats
utils
optimr
VGAM
numDeriv
ggplot2
trust
dplyr
magrittr
detectseparation
scales
phyloseq

Suggests

knitr
rmarkdown
testthat
covr
limma
slam
R.rsp

Reverse Imports

benchdamic