Package: bama 1.3.0

Mike Kleinsasser

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) <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.

Authors:Alexander Rix [aut], Mike Kleinsasser [aut, cre], Yanyi Song [aut]

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Bug tracker:https://github.com/umich-cphds/bama/issues

On CRAN:

2 exports 1.03 score 4 dependencies 1 dependents 41 scripts 376 downloads

Last updated 2 years agofrom:77a9b0ba0d. Checks:OK: 1 NOTE: 8. Indexed: yes.

Exports:bamafdr.bama

Dependencies:BHRcppRcppArmadilloRcppDist