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:Canyi Chen [aut, cre], Yinqiu He [aut], Gongjun Xu [aut], Peter X.-K. Song [aut, cph]

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

On CRAN:

Conda:

enhanced-powermediation-analysistype-i-error-control

3.00 score 2 stars 8 scripts 569 downloads 3 exports 1 dependencies

Last updated from:1e2618d360. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK107
source / vignettesOK182
linux-release-x86_64OK102
macos-release-arm64OK145
macos-oldrel-arm64OK145
windows-develOK90
windows-releaseOK69
windows-oldrelOK174
wasm-releaseOK90

Exports:abYlm.MglmabYlm.Mlmgenerate_all_data

Dependencies:boot