CorrBin: Nonparametrics with clustered binary and multinomial data

This package implements non-parametric analyses for clustered binary 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.

Version: 1.4
Depends: R (≥ 2.10), boot, combinat
Suggests: geepack, lattice
Published: 2013-12-12
Author: Aniko Szabo
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_1.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: CorrBin_1.4.tgz, r-oldrel: CorrBin_1.4.tgz
OS X Mavericks binaries: r-release: CorrBin_1.4.tgz
Old sources: CorrBin archive