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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.3.1 |
rolling linux/jammy R-4.5 | bama_1.3.1.tar.gz |
920.6 KiB |
1.3.1 |
rolling linux/noble R-4.5 | bama_1.3.1.tar.gz |
925.0 KiB |
1.3.1 |
rolling source/ R- | bama_1.3.1.tar.gz |
799.0 KiB |
1.3.1 |
latest linux/jammy R-4.5 | bama_1.3.1.tar.gz |
920.6 KiB |
1.3.1 |
latest linux/noble R-4.5 | bama_1.3.1.tar.gz |
925.0 KiB |
1.3.1 |
latest source/ R- | bama_1.3.1.tar.gz |
799.0 KiB |
1.3.1 |
2026-04-26 source/ R- | bama_1.3.1.tar.gz |
799.0 KiB |
1.3.1 |
2026-04-23 source/ R- | bama_1.3.1.tar.gz |
799.0 KiB |
1.3.1 |
2026-04-09 windows/windows R-4.5 | bama_1.3.1.zip |
1.2 MiB |
1.3.0 |
2025-04-20 source/ R- | bama_1.3.0.tar.gz |
798.0 KiB |