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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
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

Documentation:

Reference manual: hdbma.pdf

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=hdbma to link to this page.

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.
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