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>.
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