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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0 |
rolling source/ R- | hdbma_1.0.tar.gz |
42.4 KiB |
1.0 |
rolling linux/jammy R-4.5 | hdbma_1.0.tar.gz |
176.4 KiB |
1.0 |
rolling linux/noble R-4.5 | hdbma_1.0.tar.gz |
176.3 KiB |
1.0 |
latest source/ R- | hdbma_1.0.tar.gz |
42.4 KiB |
1.0 |
latest linux/jammy R-4.5 | hdbma_1.0.tar.gz |
176.4 KiB |
1.0 |
latest linux/noble R-4.5 | hdbma_1.0.tar.gz |
176.3 KiB |
1.0 |
2026-04-23 source/ R- | hdbma_1.0.tar.gz |
42.4 KiB |
1.0 |
2026-04-09 windows/windows R-4.5 | hdbma_1.0.zip |
179.1 KiB |
1.0 |
2025-04-20 source/ R- | hdbma_1.0.tar.gz |
42.4 KiB |