Package: bama
Title: High Dimensional Bayesian Mediation Analysis
Version: 1.3.1
URL: https://github.com/umich-cphds/bama
BugReports: https://github.com/umich-cphds/bama/issues
Authors@R: 
    c(person(given = "Alexander",
           family = "Rix",
           role = c("aut"),
           email = "alexrix@umich.edu"),
      person(given = "Mike",
           family = "Kleinsasser",
           role = c("aut", "cre"),
           email = "mkleinsa@umich.edu"),
      person(given = "Yanyi",
           family = "Song",
           role = c("aut"),
           email = "yanys@umich.edu"))
Description: Perform mediation analysis in the presence of
        high-dimensional mediators based on the potential outcome
        framework. Bayesian Mediation Analysis (BAMA), developed by
        Song et al (2019) <doi:10.1111/biom.13189> and Song et al
        (2020) <doi:10.48550/arXiv.2009.11409>, relies on two Bayesian
        sparse linear mixed models to simultaneously analyze a
        relatively large number of mediators for a continuous exposure
        and outcome assuming a small number of mediators are truly
        active. This sparsity assumption also allows the extension of
        univariate mediator analysis by casting the identification of
        active mediators as a variable selection problem and applying
        Bayesian methods with continuous shrinkage priors on the
        effects.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.2
LinkingTo: Rcpp, RcppArmadillo, RcppDist, BH
Imports: Rcpp, parallel
Depends: R (>= 3.5)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-10-23 10:08:42 UTC; root
Author: Alexander Rix [aut], Mike Kleinsasser [aut, cre], Yanyi Song
        [aut]
Maintainer: Mike Kleinsasser <mkleinsa@umich.edu>
Repository: https://cran.r-universe.dev
Date/Publication: 2025-09-20 05:10:16 UTC
RemoteUrl: https://github.com/cran/bama
RemoteRef: HEAD
RemoteSha: 96dfd618ecc09bb60cca20c9f009797d4572c7ea