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.

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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