Package: submax 1.1.1
Paul R. Rosenbaum
submax: Effect Modification in Observational Studies Using the Submax Method
Effect modification occurs if a treatment effect is larger or more stable in certain subgroups defined by observed covariates. The submax or subgroup-maximum method of Lee et al. (2017) <arxiv:1702.00525> does an overall test and separate tests in subgroups, correcting for multiple testing using the joint distribution.
Authors:
submax_1.1.1.tar.gz
submax_1.1.1.tar.gz(r-4.5-noble)submax_1.1.1.tar.gz(r-4.4-noble)
submax_1.1.1.tgz(r-4.4-emscripten)submax_1.1.1.tgz(r-4.3-emscripten)
submax.pdf |submax.html✨
submax/json (API)
| # Install 'submax' in R: |
| install.packages('submax', 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:3f1729c279. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 22 2024 |
| R-4.5-linux | OK | Dec 22 2024 |
Exports:amplifymscorevscoreseparable1fcsubmax
Dependencies:mvtnormsensitivityfull
