BayesianMediationA: Bayesian Mediation Analysis

We perform general mediation analysis in the Bayesian setting using the methods described in Yu and Li (2022, ISBN:9780367365479). With the package, the mediation analysis can be performed on different types of outcomes (e.g., continuous, binary, categorical, or time-to-event), with default or user-defined priors and predictive models. The Bayesian estimates and credible sets of mediation effects are reported as analytic results.

Version:	1.0.1
Depends:	R (≥ 2.14.1), survival, R2jags, car, gplots, lattice
Imports:	splines, methods
Suggests:	knitr, rmarkdown
Published:	2022-09-24
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://cran.r-project.org/package=BayesianMediationA, https://publichealth.lsuhsc.edu/Faculty_pages/qyu/index.html
NeedsCompilation:	no
CRAN checks:	BayesianMediationA results

Documentation:

Reference manual:	BayesianMediationA.pdf
Vignettes:	Examples for Bayesian Mediation Analysis

Downloads:

Package source:	BayesianMediationA_1.0.1.tar.gz
Windows binaries:	r-devel: BayesianMediationA_1.0.1.zip, r-release: BayesianMediationA_1.0.1.zip, r-oldrel: BayesianMediationA_1.0.1.zip
macOS binaries:	r-release (arm64): BayesianMediationA_1.0.1.tgz, r-oldrel (arm64): BayesianMediationA_1.0.1.tgz, r-release (x86_64): BayesianMediationA_1.0.1.tgz, r-oldrel (x86_64): BayesianMediationA_1.0.1.tgz
Old sources:	BayesianMediationA archive

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