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bama: High Dimensional Bayesian Mediation Analysis

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.

Version: 1.3.0
Depends: R (≥ 3.5)
Imports: Rcpp, parallel
LinkingTo: Rcpp, RcppArmadillo, RcppDist, BH
Suggests: knitr, rmarkdown
Published: 2023-01-24
DOI: 10.32614/CRAN.package.bama
Author: Alexander Rix [aut], Mike Kleinsasser [aut, cre], Yanyi Song [aut]
Maintainer: Mike Kleinsasser <mkleinsa at umich.edu>
BugReports: https://github.com/umich-cphds/bama/issues
License: GPL-3
URL: https://github.com/umich-cphds/bama
NeedsCompilation: yes
Materials: README
In views: Bayesian
CRAN checks: bama results

Documentation:

Reference manual: bama.pdf
Vignettes: Bayesian Mediation Analysis in R

Downloads:

Package source: bama_1.3.0.tar.gz
Windows binaries: r-devel: bama_1.3.0.zip, r-release: bama_1.3.0.zip, r-oldrel: bama_1.3.0.zip
macOS binaries: r-release (arm64): bama_1.3.0.tgz, r-oldrel (arm64): bama_1.3.0.tgz, r-release (x86_64): bama_1.3.0.tgz, r-oldrel (x86_64): bama_1.3.0.tgz
Old sources: bama archive

Reverse dependencies:

Reverse imports: hdmed

Linking:

Please use the canonical form https://CRAN.R-project.org/package=bama to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.