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>.

Documentation:

Downloads:

Reverse dependencies:

Linking:

Please use the canonical form https://CRAN.R-project.org/package=CorrBin to link to this page.