Package: rbounds 2.2
rbounds: Perform Rosenbaum Bounds Sensitivity Tests for Matched and Unmatched Data
Takes matched and unmatched data and calculates Rosenbaum bounds for the treatment effect. Calculates bounds for binary outcome data, Hodges-Lehmann point estimates, Wilcoxon signed-rank test for matched data and matched IV estimators, Wilcoxon sum rank test, and for data with multiple matched controls. The sensitivity analysis methods in this package are documented in Rosenbaum (2002) Observational Studies, <doi:10.1007/978-1-4757-3692-2>, Springer-Verlag.
Authors:
rbounds_2.2.tar.gz
rbounds_2.2.zip(r-4.5)rbounds_2.2.zip(r-4.4)rbounds_2.2.zip(r-4.3)
rbounds_2.2.tgz(r-4.4-any)rbounds_2.2.tgz(r-4.3-any)
rbounds_2.2.tar.gz(r-4.5-noble)rbounds_2.2.tar.gz(r-4.4-noble)
rbounds_2.2.tgz(r-4.4-emscripten)rbounds_2.2.tgz(r-4.3-emscripten)
rbounds.pdf |rbounds.html✨
rbounds/json (API)
| # Install 'rbounds' in R: |
| install.packages('rbounds', repos = c('https://ljk20.r-universe.dev', 'https://cloud.r-project.org')) |
- angristlavy - Angrist and Lavy (1999) Maimonides' Rule Data Set
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:473e39125c. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 01 2024 |
| R-4.5-win | OK | Nov 01 2024 |
| R-4.5-linux | OK | Nov 01 2024 |
| R-4.4-win | OK | Nov 01 2024 |
| R-4.4-mac | OK | Nov 01 2024 |
| R-4.3-win | OK | Nov 01 2024 |
| R-4.3-mac | OK | Nov 01 2024 |
Exports:binarysensFisherSenshlsensiv_sensmcontrolpsensSumTestSens
Dependencies:
