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:>; George EO, Cheon K, Yuan Y, Szabo A (2016) <doi:>.

Package details

AuthorAniko Szabo [aut, cre]
MaintainerAniko Szabo <>
LicenseGPL (>=2)
Package repositoryView on R-Forge
Installation Install the latest version of this package by entering the following in R:
install.packages("CorrBin", repos="")

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CorrBin documentation built on May 2, 2019, 4:46 p.m.