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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 |
| Reference manual: | hdbma.pdf |
| Package source: | hdbma_1.0.tar.gz |
| Windows binaries: | r-devel: hdbma_1.0.zip, r-release: hdbma_1.0.zip, r-oldrel: hdbma_1.0.zip |
| macOS binaries: | r-release (arm64): hdbma_1.0.tgz, r-oldrel (arm64): hdbma_1.0.tgz, r-release (x86_64): hdbma_1.0.tgz, r-oldrel (x86_64): hdbma_1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.