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Provides estimation and inference for win statistics in cluster-randomized trials with prioritized (hierarchical) composite outcomes. Supported summaries include the win ratio, win odds, net benefit, and desirability of outcome ranking (DOOR), with variance estimation and testing procedures that account for within-cluster correlation. Methods are described in the accompanying manuscript (2026) <doi:10.48550/arXiv.2604.18341>.
| Version: | 0.1.0 |
| Depends: | R (≥ 2.10) |
| Imports: | Rcpp, stats |
| LinkingTo: | Rcpp |
| Published: | 2026-06-18 |
| DOI: | 10.32614/CRAN.package.WinsCRT |
| Author: | Xi Fang [aut, cre], Fan Li [aut] |
| Maintainer: | Xi Fang <x.fang at yale.edu> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| CRAN checks: | WinsCRT results |
| Reference manual: | WinsCRT.html , WinsCRT.pdf |
| Package source: | WinsCRT_0.1.0.tar.gz |
| Windows binaries: | r-devel: WinsCRT_0.1.0.zip, r-release: WinsCRT_0.1.0.zip, r-oldrel: WinsCRT_0.1.0.zip |
| macOS binaries: | r-release (arm64): WinsCRT_0.1.0.tgz, r-oldrel (arm64): WinsCRT_0.1.0.tgz, r-release (x86_64): WinsCRT_0.1.0.tgz, r-oldrel (x86_64): WinsCRT_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.