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>.
| Version: | 1.1 |
| Imports: | boot, stats |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2024-10-25 |
| DOI: | 10.32614/CRAN.package.abima |
| Author: | Canyi Chen  [aut,
cre],
Yinqiu He [aut],
Gongjun Xu [aut],
Peter X.-K. Song [aut, cph] |
| Maintainer: | Canyi Chen <cychen.stats at outlook.com> |
| BugReports: | https://github.com/canyi-chen/abima/issues |
| License: | MIT + file LICENSE |
| URL: | https://websites.umich.edu/~songlab/software.html#ABIMA, https://github.com/canyi-chen/abima |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | abima results |
Documentation:
| Reference manual: | abima.html , abima.pdf |
Downloads:
| Package source: | abima_1.1.tar.gz |
| Windows binaries: | r-devel: abima_1.1.zip, r-release: abima_1.1.zip, r-oldrel: abima_1.1.zip |
| macOS binaries: | r-release (arm64): abima_1.1.tgz, r-oldrel (arm64): abima_1.1.tgz, r-release (x86_64): abima_1.1.tgz, r-oldrel (x86_64): abima_1.1.tgz |
| Old sources: | abima archive |
Linking:
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