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.zip(r-4.7-x86_64)WinsCRT_0.1.0.zip(r-4.7-arm64)WinsCRT_0.1.0.zip(r-4.6-x86_64)WinsCRT_0.1.0.zip(r-4.6-arm64)
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✨
DESCRIPTION
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 289 downloads 1 exports 1 dependencies

Last updated from:8da2d55dc5. Checks:10 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK101
linux-devel-x86_64OK119
source / vignettesOK155
linux-release-arm64OK113
linux-release-x86_64OK120
windows-devel-arm64OK162
windows-devel-x86_64OK113
windows-release-arm64OK191
windows-release-x86_64OK77
wasm-releaseOK101

Exports:WinsCRT

Dependencies:Rcpp