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.
||R (≥ 2.14.1), survival, R2jags, car, gplots, lattice
||Qingzhao Yu [aut, cre, cph],
Bin Li [aut]
||Qingzhao Yu <qyu at lsuhsc.edu>
||GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
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