Package: abima 1.1
abima: Adaptive Bootstrap Inference for Mediation Analysis with Enhanced Statistical Power
Assess whether and how a specific continuous or categorical exposure affects the outcome of interest through one- or multi-dimensional mediators using an adaptive bootstrap (AB) approach. The AB method allows to make inference for composite null hypotheses of no mediation effect, providing valid type I error control and thus optimizes statistical power. For more technical details, refer to He, Song and Xu (2024) <doi:10.1093/jrsssb/qkad129>.
Authors:
abima_1.1.tar.gz
abima_1.1.zip(r-4.7)abima_1.1.zip(r-4.6)abima_1.1.zip(r-4.5)
abima_1.1.tgz(r-4.6-any)abima_1.1.tgz(r-4.5-any)
abima_1.1.tar.gz(r-4.7-any)abima_1.1.tar.gz(r-4.6-any)
abima_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
abima/json (API)
NEWS
| # Install 'abima' in R: |
| install.packages('abima', repos = c('https://canyi-chen.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/canyi-chen/abima/issues
enhanced-powermediation-analysistype-i-error-control
Last updated from:1e2618d360. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 107 | ||
| source / vignettes | OK | 182 | ||
| linux-release-x86_64 | OK | 102 | ||
| macos-release-arm64 | OK | 145 | ||
| macos-oldrel-arm64 | OK | 145 | ||
| windows-devel | OK | 90 | ||
| windows-release | OK | 69 | ||
| windows-oldrel | OK | 174 | ||
| wasm-release | OK | 90 |
Exports:abYlm.MglmabYlm.Mlmgenerate_all_data
Dependencies:boot
