Package: wintime 0.3.0
James Troendle
wintime: Win Time Methods for Time-to-Event Data in Clinical Trials
Performs an analysis of time-to-event clinical trial data using various "win time" methods, including 'ewt', 'ewtr', 'rmt', 'max', 'wtr', 'rwtr', and 'pwt'. These methods are used to calculate and compare treatment effects on ordered composite endpoints. The package handles event times, event indicators, and treatment arm indicators and supports calculations on observed and resampled data. Detailed explanations of each method and usage examples are provided in "Use of win time for ordered composite endpoints in clinical trials," by Troendle et al. (2024)<https://pubmed.ncbi.nlm.nih.gov/38417455/>. For more information, see the package documentation or the vignette titled "Introduction to wintime."
Authors:
wintime_0.3.0.tar.gz
wintime_0.3.0.tar.gz(r-4.5-noble)wintime_0.3.0.tar.gz(r-4.4-noble)
wintime_0.3.0.tgz(r-4.4-emscripten)wintime_0.3.0.tgz(r-4.3-emscripten)
wintime.pdf |wintime.html✨
wintime/json (API)
| # Install 'wintime' in R: |
| install.packages('wintime', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 months agofrom:aacf781955. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 01 2024 |
| R-4.5-linux | OK | Dec 01 2024 |
