Package: WinsCRT 0.1.0

Xi Fang

WinsCRT: Win Statistics Inference for Cluster-Randomized Trials

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>.

Authors:Xi Fang [aut, cre], Fan Li [aut]

WinsCRT_0.1.0.tar.gz
WinsCRT_0.1.0.tar.gz(r-4.7-arm64)WinsCRT_0.1.0.tar.gz(r-4.7-x86_64)WinsCRT_0.1.0.tar.gz(r-4.6-arm64)WinsCRT_0.1.0.tar.gz(r-4.6-x86_64)
WinsCRT_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
WinsCRT/json (API)

# Install 'WinsCRT' in R:
install.packages('WinsCRT', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • dat - Example prioritized event-log dataset

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

1.00 score 1 exports 1 dependencies

Last updated from:8da2d55dc5. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK156
linux-devel-x86_64OK152
source / vignettesOK194
linux-release-arm64OK168
linux-release-x86_64OK89
wasm-releaseOK104

Exports:WinsCRT

Dependencies:Rcpp