Package: submax 1.1.5
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. (2018) <doi:10.1111/biom.12884> does an overall test and separate tests in subgroups, correcting for multiple testing using the joint distribution.
Authors:
submax_1.1.5.tar.gz
submax_1.1.5.zip(r-4.7-any)submax_1.1.5.zip(r-4.6-any)submax_1.1.5.zip(r-4.5-any)
submax_1.1.5.tgz(r-4.6-any)submax_1.1.5.tgz(r-4.5-any)
submax_1.1.5.tar.gz(r-4.7-any)submax_1.1.5.tar.gz(r-4.6-any)
submax_1.1.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
submax/json (API)
| # Install 'submax' in R: |
| install.packages('submax', repos = c('https://rosenbap.r-universe.dev', 'https://cloud.r-project.org')) |
- Active - Physical Activity and Survival in NHANES
- mercury - NHANES Mercury/Fish Data
- tbmetaphase - Genetic damage from drugs used to treat TB
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:531ad780c7. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 108 | ||
| source / vignettes | OK | 152 | ||
| linux-release-x86_64 | OK | 100 | ||
| macos-release-arm64 | OK | 81 | ||
| macos-oldrel-arm64 | OK | 95 | ||
| windows-devel | OK | 111 | ||
| windows-release | OK | 67 | ||
| windows-oldrel | OK | 61 | ||
| wasm-release | OK | 89 |
Exports:amplifymscorevscoreseparable1fcsubmax
Dependencies:mvtnormsensitivityfull
