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:	1.6.2
Depends:	R (≥ 2.6.0)
Imports:	boot, combinat, dirmult, mvtnorm
Suggests:	geepack, lattice
Published:	2024-08-30
DOI:	10.32614/CRAN.package.CorrBin
Author:	Aniko Szabo [aut, cre, cph]
Maintainer:	Aniko Szabo <aszabo at mcw.edu>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	yes
CRAN checks:	CorrBin results

Documentation:

Reference manual:	CorrBin.html , CorrBin.pdf
Vignettes:	Using CorrBin for the Shell Toxicology data (source, R code)

Downloads:

Package source:	CorrBin_1.6.2.tar.gz
Windows binaries:	r-devel: CorrBin_1.6.2.zip, r-release: CorrBin_1.6.2.zip, r-oldrel: CorrBin_1.6.2.zip
macOS binaries:	r-release (arm64): CorrBin_1.6.2.tgz, r-oldrel (arm64): CorrBin_1.6.2.tgz, r-release (x86_64): CorrBin_1.6.2.tgz, r-oldrel (x86_64): CorrBin_1.6.2.tgz
Old sources:	CorrBin archive

Reverse dependencies:

Reverse suggests:

tukeytrend

Linking:

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