CorrBin: Nonparametrics with Clustered Binary and Multinomial Data

Implements non-parametric analyses for clustered binary and multinomial data. The elements of the cluster are assumed exchangeable, and identical joint distribution (also known as marginal compatibility, or reproducibility) is assumed for clusters of different sizes. A trend test based on stochastic ordering is implemented. Szabo A, George EO. (2010) <doi:10.1093/biomet/asp077>; George EO, Cheon K, Yuan Y, Szabo A (2016) <doi:10.1093/biomet/asw009>.

Version: 1.6.1
Depends: R (≥ 2.6.0)
Imports: boot, combinat, geepack, dirmult, mvtnorm
Suggests: lattice
Published: 2023-09-29
DOI: 10.32614/CRAN.package.CorrBin
Author: Aniko Szabo [aut, cre]
Maintainer: Aniko Szabo <aszabo at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: CorrBin results


Reference manual: CorrBin.pdf
Vignettes: Using CorrBin for the Shell Toxicology data


Package source: CorrBin_1.6.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): CorrBin_1.6.1.tgz, r-oldrel (arm64): CorrBin_1.6.1.tgz, r-release (x86_64): CorrBin_1.6.1.tgz, r-oldrel (x86_64): CorrBin_1.6.1.tgz
Old sources: CorrBin archive

Reverse dependencies:

Reverse suggests: tukeytrend


Please use the canonical form to link to this page.