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:
bama_1.3.0.tar.gz
bama_1.3.0.tar.gz(r-4.5-noble)bama_1.3.0.tar.gz(r-4.4-noble)
bama_1.3.0.tgz(r-4.4-emscripten)bama_1.3.0.tgz(r-4.3-emscripten)
bama.pdf |bama.html✨
bama/json (API)
| # Install 'bama' in R: |
| install.packages('bama', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/umich-cphds/bama/issues
- bama.data - Synthetic example data for bama
Last updated 2 years agofrom:90fdc67bd4. Checks:OK: 1 NOTE: 1. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 28 2024 |
| R-4.5-linux-x86_64 | NOTE | Nov 28 2024 |
Dependencies:BHRcppRcppArmadilloRcppDist
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Bayesian Mediation Analysis | bama |
| Synthetic example data for bama | bama.data |
| Bayesian Mediation Analysis Controlling For False Discovery | fdr.bama |
| Printing bama objects | print.bama |
| Printing bama objects | print.fdr.bama |
| Summarize objects of type "bama" | summary.bama |
| Summarize objects of type "fdr.bama" | summary.fdr.bama |
