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-4.7-any)hdbma_1.0.zip(r-4.6-any)hdbma_1.0.zip(r-4.5-any)
hdbma_1.0.tgz(r-4.6-any)hdbma_1.0.tgz(r-4.5-any)
hdbma_1.0.tar.gz(r-4.7-any)hdbma_1.0.tar.gz(r-4.6-any)
hdbma_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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 from:a2d64d2fe9. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 181 | ||
| source / vignettes | OK | 179 | ||
| linux-release-x86_64 | OK | 188 | ||
| macos-release-arm64 | OK | 118 | ||
| macos-oldrel-arm64 | OK | 110 | ||
| windows-devel | OK | 100 | ||
| windows-release | OK | 98 | ||
| windows-oldrel | OK | 126 | ||
| wasm-release | OK | 115 |
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 |
