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
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:

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