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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.
Getting started
Browse package contents
Package details |
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| Author | Qingzhao Yu [aut, cre, cph], Bin Li [aut] |
| Maintainer | Qingzhao Yu <qyu@lsuhsc.edu> |
| License | GPL (>= 2) |
| Version | 1.0 |
| URL | https://www.r-project.org https://publichealth.lsuhsc.edu/Faculty_pages/qyu/index.html |
| Package repository | View on CRAN |
| Installation |
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