Package: hdbma 1.0
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.
Authors:
hdbma_1.0.tar.gz
hdbma_1.0.zip(r-4.5)hdbma_1.0.zip(r-4.4)hdbma_1.0.zip(r-4.3)
hdbma_1.0.tgz(r-4.4-any)hdbma_1.0.tgz(r-4.3-any)
hdbma_1.0.tar.gz(r-4.5-noble)hdbma_1.0.tar.gz(r-4.4-noble)
hdbma_1.0.tgz(r-4.4-emscripten)hdbma_1.0.tgz(r-4.3-emscripten)
hdbma.pdf |hdbma.html✨
hdbma/json (API)
| # Install 'hdbma' in R: |
| install.packages('hdbma', repos = c('https://qingzhaoyu.r-universe.dev', 'https://cloud.r-project.org')) |
- weight_behavior - Weight_Behavior Data Set
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 11 months agofrom:a2d64d2fe9. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 10 2024 |
| R-4.5-win | OK | Nov 10 2024 |
| R-4.5-linux | OK | Nov 10 2024 |
| R-4.4-win | OK | Nov 10 2024 |
| R-4.4-mac | OK | Nov 10 2024 |
| R-4.3-win | OK | Nov 10 2024 |
| R-4.3-mac | OK | Nov 10 2024 |
Exports:hdbmaprint.summary.hdbmasummary.hdbma
Dependencies:abindbitopsbootcaToolsclicodagluegplotsgtoolsKernSmoothlatticelifecyclemagrittrMASSMatrixR2jagsR2WinBUGSrjagsrlangstringistringrsurvivalvctrs
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Bayesian Mediation Analysis with High-Dimensional Data | hdbma-package |
| High-Dimensional Bayesian Mediation Analysis | hdbma |
| print.summary.hdbma | |
| Summary for hdbma results | summary.hdbma |
| Weight_Behavior Data Set | weight_behavior |
