Package: sensitivitymw 2.1
sensitivitymw: Sensitivity Analysis for Observational Studies Using Weighted M-Statistics
Sensitivity analysis for tests, confidence intervals and estimates in matched observational studies with one or more controls using weighted or unweighted Huber-Maritz M-tests (including the permutational t-test). The method is from Rosenbaum (2014) Weighted M-statistics with superior design sensitivity in matched observational studies with multiple controls JASA, 109(507), 1145-1158 <doi:10.1080/01621459.2013.879261>.
Authors:
sensitivitymw_2.1.tar.gz
sensitivitymw_2.1.zip(r-4.7-any)sensitivitymw_2.1.zip(r-4.6-any)sensitivitymw_2.1.zip(r-4.5-any)
sensitivitymw_2.1.tgz(r-4.6-any)sensitivitymw_2.1.tgz(r-4.5-any)
sensitivitymw_2.1.tar.gz(r-4.7-any)sensitivitymw_2.1.tar.gz(r-4.6-any)
sensitivitymw_2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
sensitivitymw/json (API)
| # Install 'sensitivitymw' in R: |
| install.packages('sensitivitymw', repos = c('https://rosenbap.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 from:c29739154c. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 102 | ||
| source / vignettes | OK | 153 | ||
| linux-release | OK | 104 | ||
| macos-release | OK | 83 | ||
| macos-oldrel | OK | 84 | ||
| windows-devel | OK | 55 | ||
| windows-release | OK | 58 | ||
| windows-oldrel | OK | 61 | ||
| wasm-release | OK | 85 |
Exports:mscorevmultrnksnewurkssenmwsenmwCIseparable1k
Dependencies:
