This package is considered a duplicate. The official version of this package is found at:https://yain22.r-universe.dev/winratiosim
Package: winratiosim 1.0.0
winratiosim: Simulate Power for Hierarchical Win Ratio Endpoints
Provides simulation tools for power analysis in two-arm clinical trials with hierarchical win ratio endpoints. The package simulates time-to-event, recurrent event, and continuous outcomes, applies prioritized pairwise win/loss scoring, and summarizes win ratio and Finkelstein-Schoenfeld test operating characteristics.
Authors:
winratiosim_1.0.0.tar.gz
winratiosim_1.0.0.tar.gz(r-4.7-any)winratiosim_1.0.0.tar.gz(r-4.6-any)
winratiosim_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
winratiosim/json (API)
| # Install 'winratiosim' in R: |
| install.packages('winratiosim', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/yain22/winratiosim/issues
Last updated from:5da374bbc5. Checks:4 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 110 | ||
| source / vignettes | OK | 148 | ||
| linux-release-x86_64 | OK | 102 | ||
| wasm-release | OK | 94 |
Exports:binom.conf.exactScoring_ContiScoring_TTESimData_per_groupwinratiosimWR_analysis
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Exact Binomial Confidence Interval | binom.conf.exact |
| Score Continuous Pairwise Comparisons | Scoring_Conti |
| Score Time-to-Event Pairwise Comparisons | Scoring_TTE |
| Simulate Individual-Level Trial Data for One Arm | SimData_per_group |
| Simulate Hierarchical Win Ratio Trials | winratiosim |
| Perform Hierarchical Win Ratio Analysis | WR_analysis |
