hdbma: Bayesian Mediation Analysis with High-Dimensional Data
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 <qyu at lsuhsc.edu> |
| 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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