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. doi:10.1093/biomet/asp077; doi:10.1093/biomet/asw009.
- Version1.6.2
- R version≥ 2.6.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release08/30/2024
Documentation
Team
Aniko Szabo
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- Imports4 packages
- Suggests2 packages
- Reverse Suggests1 package