Package: sensitivitymult 1.0.2
Paul R. Rosenbaum
sensitivitymult: Sensitivity Analysis for Observational Studies with Multiple Outcomes
Sensitivity analysis for multiple outcomes in observational studies. For instance, all linear combinations of several outcomes may be explored using Scheffe projections in the comparison() function; see Rosenbaum (2016, Annals of Applied Statistics) <doi:10.1214/16-AOAS942>. Alternatively, attention may focus on a few principal components in the principal() function. The package includes parallel methods for individual outcomes, including tests in the senm() function and confidence intervals in the senmCI() function.
Authors:
sensitivitymult_1.0.2.tar.gz
sensitivitymult_1.0.2.tar.gz(r-4.5-noble)sensitivitymult_1.0.2.tar.gz(r-4.4-noble)
sensitivitymult_1.0.2.tgz(r-4.4-emscripten)sensitivitymult_1.0.2.tgz(r-4.3-emscripten)
sensitivitymult.pdf |sensitivitymult.html✨
sensitivitymult/json (API)
| # Install 'sensitivitymult' in R: |
| install.packages('sensitivitymult', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
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This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 years agofrom:b183351850. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 16 2024 |
| R-4.5-linux | OK | Dec 16 2024 |
Exports:amplifycomparisonmscorevplanScheffeprincipalsenmsenmCIseparable1v
Dependencies:
