CorrBin: Nonparametrics with clustered binary 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: 1.3
Depends: R (≥ 2.10), boot
Suggests: geepack, lattice
Published: 2012-11-09
Author: Aniko Szabo
Maintainer: Aniko Szabo <aszabo at mcw.edu>
License: GPL (≥ 2)
NeedsCompilation: yes
CRAN checks: CorrBin results

Downloads:

Package source: CorrBin_1.3.tar.gz
MacOS X binary: CorrBin_1.3.tgz
Windows binary: CorrBin_1.3.zip
Reference manual: CorrBin.pdf
Vignettes: Using CorrBin for the Shell Toxicology data
Old sources: CorrBin archive