Package: weightedRank 0.7.2
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 package can increase design sensitivity using the conditioning tactic in Rosenbaum (2025) <doi:10.1093/jrsssb/qkaf007>. The main functions are wgtRank(), wgtRankCI(), wgtRanktt() and wgtRankC().
Authors:
weightedRank_0.7.2.tar.gz
weightedRank_0.7.2.zip(r-4.7-any)weightedRank_0.7.2.zip(r-4.6-any)weightedRank_0.7.2.zip(r-4.5-any)
weightedRank_0.7.2.tgz(r-4.6-any)weightedRank_0.7.2.tgz(r-4.5-any)
weightedRank_0.7.2.tar.gz(r-4.7-any)weightedRank_0.7.2.tar.gz(r-4.6-any)
weightedRank_0.7.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
weightedRank/json (API)
| # Install 'weightedRank' in R: |
| install.packages('weightedRank', repos = c('https://rosenbap.r-universe.dev', 'https://cloud.r-project.org')) |
- aBP - Binge Drinking and Blood Pressure
- aHDL - Alcohol and HDL Cholesterol
- aHDLe - HDL Cholesterol and Light Daily Alcohol 2013-2020
- Peri24and15 - Periodontal Disease and Smoking in a Mixed Block Design
- PeriND - New Designs for an Observational Study of Periodonal Disease and Smoking
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:b6499aa8e5. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 117 | ||
| source / vignettes | OK | 200 | ||
| linux-release | OK | 144 | ||
| macos-release | OK | 173 | ||
| macos-oldrel | OK | 192 | ||
| windows-devel | OK | 71 | ||
| windows-release | OK | 61 | ||
| windows-oldrel | OK | 113 | ||
| wasm-release | OK | 106 |
Exports:amplifydwgtRankef2CgwgtRankgwgtRankCstepSolvewgtRankwgtRankCwgtRankCIwgtRanktt
Dependencies:BiasedUrnMASSmvtnormsensitivitymvsenstrat
