Package: sensitivityfull 1.5.6
sensitivityfull: Sensitivity Analysis for Full Matching in Observational Studies
Sensitivity to unmeasured biases in an observational study that is a full match. Function senfm() performs tests and function senfmCI() creates confidence intervals. The method uses Huber's M-statistics, including least squares, and is described in Rosenbaum (2007, Biometrics) <doi:10.1111/j.1541-0420.2006.00717.x>.
Authors:
sensitivityfull_1.5.6.tar.gz
sensitivityfull_1.5.6.zip(r-4.7-any)sensitivityfull_1.5.6.zip(r-4.6-any)sensitivityfull_1.5.6.zip(r-4.5-any)
sensitivityfull_1.5.6.tgz(r-4.6-any)sensitivityfull_1.5.6.tgz(r-4.5-any)
sensitivityfull_1.5.6.tar.gz(r-4.7-any)sensitivityfull_1.5.6.tar.gz(r-4.6-any)
sensitivityfull_1.5.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
sensitivityfull/json (API)
| # Install 'sensitivityfull' in R: |
| install.packages('sensitivityfull', 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:c99dbfbb92. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 104 | ||
| source / vignettes | OK | 121 | ||
| linux-release-x86_64 | OK | 108 | ||
| macos-release-arm64 | OK | 115 | ||
| macos-oldrel-arm64 | OK | 68 | ||
| windows-devel | OK | 74 | ||
| windows-release | OK | 58 | ||
| windows-oldrel | OK | 61 | ||
| wasm-release | OK | 88 |
Exports:mscorefsenfmsenfmCIseparable1f
Dependencies:
