Package: abima
Title: Adaptive Bootstrap Inference for Mediation Analysis with
        Enhanced Statistical Power
Version: 1.1
Authors@R: 
    c(person("Canyi", "Chen", , "cychen.stats@outlook.com", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-0673-5812")),
           person("Yinqiu", "He", role = c("aut")),
           person("Gongjun", "Xu", role = c("aut")),
    person("Peter X.-K.", "Song", , role = c("aut", "cph")))
Description: 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>.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.2.3
Imports: boot, stats
URL: https://websites.umich.edu/~songlab/software.html#ABIMA,
        https://github.com/canyi-chen/abima
BugReports: https://github.com/canyi-chen/abima/issues
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2024-10-25 16:44:00 UTC; chencanyi
Author: Canyi Chen [aut, cre] (<https://orcid.org/0000-0002-0673-5812>),
  Yinqiu He [aut],
  Gongjun Xu [aut],
  Peter X.-K. Song [aut, cph]
Maintainer: Canyi Chen <cychen.stats@outlook.com>
Repository: CRAN
Date/Publication: 2024-10-25 23:30:10 UTC
Built: R 4.3.3; ; 2025-01-24 13:55:07 UTC; unix
