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WinsCRT  

Win Statistics Inference for Cluster-Randomized Trials
View on CRAN: Click here


Download and install WinsCRT package within the R console
Install from CRAN:
install.packages("WinsCRT")

Install from Github:
library("remotes")
install_github("cran/WinsCRT")

Install by package version:
library("remotes")
install_version("WinsCRT", "0.1.0")



Attach the package and use:
library("WinsCRT")
Maintained by
Xi Fang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-06-18
Latest Update: 2026-06-18
Description:
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>.
How to cite:
Xi Fang (2026). WinsCRT: Win Statistics Inference for Cluster-Randomized Trials. R package version 0.1.0, https://cran.r-project.org/web/packages/WinsCRT. Accessed 24 Oct. 2026.
Previous versions and publish date:
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Complete documentation for WinsCRT
Functions, R codes and Examples using the WinsCRT R package
Full WinsCRT package functions and examples
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