Package: weightedRank 0.3.7
Paul Rosenbaum
weightedRank: Sensitivity Analysis Using Weighted Rank Statistics
Performs a sensitivity analysis using weighted rank tests in observational studies with I blocks of size J; see Rosenbaum (2024) <doi:10.1080/01621459.2023.2221402>. The package can perform adaptive inference in block designs; see Rosenbaum (2012) <doi:10.1093/biomet/ass032>. The main functions are wgtRank(), wgtRankCI() and wgtRanktt().
Authors:
weightedRank_0.3.7.tar.gz
weightedRank_0.3.7.tar.gz(r-4.5-noble)weightedRank_0.3.7.tar.gz(r-4.4-noble)
weightedRank_0.3.7.tgz(r-4.4-emscripten)weightedRank_0.3.7.tgz(r-4.3-emscripten)
weightedRank.pdf |weightedRank.html✨
weightedRank/json (API)
| # Install 'weightedRank' in R: |
| install.packages('weightedRank', 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 5 months agofrom:d08820fbe9. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 04 2024 |
| R-4.5-linux | OK | Nov 04 2024 |
Exports:amplifydwgtRankef2CgwgtRankstepSolvewgtRankwgtRankCwgtRankCIwgtRanktt
Dependencies:BiasedUrnMASSmvtnormsensitivitymvsenstrat
