CorrBin: Nonparametrics with clustered binary 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: |
1.3 |
| Depends: |
R (≥ 2.10), boot |
| Suggests: |
geepack, lattice |
| Published: |
2012-11-09 |
| Author: |
Aniko Szabo |
| Maintainer: |
Aniko Szabo <aszabo at mcw.edu> |
| License: |
GPL (≥ 2) |
| NeedsCompilation: |
yes |
| CRAN checks: |
CorrBin results |
Downloads: