Nonparametrics with Clustered Binary and Multinomial Data R package CorrBin version 1.6.2 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>. Software Depends: R(>= 2.6.0) Imports: boot, combinat, dirmult, mvtnorm Suggests: geepack, lattice Aniko Szabo <aszabo@mcw.edu> Comprehensive R Archive Network (CRAN) Aniko Szabo [aut, cre, cph] GPL (>= 2) 2024-08-30 application/tgz https://CRAN.R-project.org/package=CorrBin doi:10.32614/CRAN.package.CorrBin