CorrBin: Nonparametrics with clustered binary and multinomial data
This package implements non-parametric analyses for clustered
binary 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.
| Version: |
1.4 |
| Depends: |
R (≥ 2.10), boot, combinat |
| Suggests: |
geepack, lattice |
| Published: |
2013-12-12 |
| Author: |
Aniko Szabo |
| Maintainer: |
Aniko Szabo <aszabo at mcw.edu> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
yes |
| CRAN checks: |
CorrBin results |
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