CorrBin: Nonparametrics with Clustered Binary and Multinomial Data

This package 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.

Version: 1.5
Depends: R (≥ 2.10)
Imports: boot, combinat, geepack, dirmult, mvtnorm
Suggests: lattice
Published: 2015-01-05
Author: Aniko Szabo [aut, cre]
Maintainer: Aniko Szabo <aszabo at mcw.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: CorrBin results

Downloads:

Reference manual: CorrBin.pdf
Vignettes: Using CorrBin for the Shell Toxicology data
Package source: CorrBin_1.5.tar.gz
Windows binaries: r-devel: CorrBin_1.5.zip, r-release: CorrBin_1.5.zip, r-oldrel: CorrBin_1.5.zip
OS X Snow Leopard binaries: r-oldrel: CorrBin_1.5.tgz
OS X Mavericks binaries: r-release: CorrBin_1.5.tgz
Old sources: CorrBin archive