hdbma: Bayesian Mediation Analysis with High-Dimensional Data (original) (raw)
Mediation analysis is used to identify and quantify intermediate effects from factors that intervene the observed relationship between an exposure/predicting variable and an outcome. We use a Bayesian adaptive lasso method to take care of the hierarchical structures and high dimensional exposures or mediators.
| Version: | 1.0 |
|---|---|
| Depends: | R (≥ 2.14.1), R2jags, gplots, MASS, survival, splines |
| Imports: | lattice, methods |
| Published: | 2023-12-15 |
| DOI: | 10.32614/CRAN.package.hdbma |
| Author: | Qingzhao Yu [aut, cre, cph], Bin Li [aut] |
| Maintainer: | Qingzhao Yu |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://www.r-project.org,https://publichealth.lsuhsc.edu/Faculty_pages/qyu/index.html |
| NeedsCompilation: | no |
| CRAN checks: | hdbma results |
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