Package: abima 1.0
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_1.0.tar.gz
abima_1.0.zip(r-4.5)abima_1.0.zip(r-4.4)abima_1.0.zip(r-4.3)
abima_1.0.tgz(r-4.4-any)abima_1.0.tgz(r-4.3-any)
abima_1.0.tar.gz(r-4.5-noble)abima_1.0.tar.gz(r-4.4-noble)
abima_1.0.tgz(r-4.4-emscripten)abima_1.0.tgz(r-4.3-emscripten)
abima.pdf |abima.html✨
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 30 days agofrom:afc72cea01. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 26 2024 |
| R-4.5-win | OK | Oct 26 2024 |
| R-4.5-linux | OK | Oct 26 2024 |
| R-4.4-win | OK | Oct 26 2024 |
| R-4.4-mac | OK | Oct 26 2024 |
| R-4.3-win | OK | Oct 26 2024 |
| R-4.3-mac | OK | Oct 26 2024 |
Exports:abYlm.MglmabYlm.Mlmgenerate_all_data
Dependencies:boot
