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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>.
Getting started
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Package details |
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| Author | Aniko Szabo [aut, cre] |
| Maintainer | Aniko Szabo <aszabo@mcw.edu> |
| License | GPL (>= 2) |
| Version | 1.6.1 |
| Package repository | View on CRAN |
| Installation |
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