CRAN/E | bama

bama

High Dimensional Bayesian Mediation Analysis

Installation

About

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) , 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.

github.com/umich-cphds/bama
Bug report File report

Key Metrics

Version 1.3.0
R ≥ 3.5
Published 2023-01-24 430 days ago
Needs compilation? yes
License GPL-3
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Maintainer

Maintainer

Mike Kleinsasser

mkleinsa@umich.edu

Authors

Alexander Rix

aut

Mike Kleinsasser

aut / cre

Yanyi Song

aut

Material

README
Reference manual
Package source

In Views

Bayesian

Vignettes

Bayesian Mediation Analysis in R

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

bama archive

Depends

R ≥ 3.5

Imports

Rcpp
parallel

Suggests

knitr
rmarkdown

LinkingTo

Rcpp
RcppArmadillo
RcppDist
BH