Package: sensitivitymw 2.1
Paul R. Rosenbaum
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.tar.gz(r-4.5-noble)sensitivitymw_2.1.tar.gz(r-4.4-noble)
sensitivitymw_2.1.tgz(r-4.4-emscripten)sensitivitymw_2.1.tgz(r-4.3-emscripten)
sensitivitymw.pdf |sensitivitymw.html✨
sensitivitymw/json (API)
| # Install 'sensitivitymw' in R: |
| install.packages('sensitivitymw', 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 3 years agofrom:c29739154c. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 02 2024 |
| R-4.5-linux | OK | Sep 02 2024 |
Exports:mscorevmultrnksnewurkssenmwsenmwCIseparable1k
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