CorrBin: Nonparametrics with Clustered Binary and Multinomial Data

This package 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.

AuthorAniko Szabo [aut, cre]
Date of publication2015-01-05 07:45:55
MaintainerAniko Szabo <aszabo@mcw.edu>
LicenseGPL (>= 2)
Version1.5

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Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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