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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "BayesianMediationA" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'BayesianMediationA: Bayesian Mediation Analysis'
version: 1.0.1
doi: 10.32614/CRAN.package.BayesianMediationA
identifiers:
- type: url
  value: https://publichealth.lsuhsc.edu/Faculty_pages/qyu/index.html
abstract: 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.
authors:
- family-names: Yu
  given-names: Qingzhao
  email: qyu@lsuhsc.edu
- family-names: Li
  given-names: Bin
repository: https://CRAN.R-project.org/package=BayesianMediationA
url: https://cran.r-project.org/package=BayesianMediationA
date-released: '2022-09-26'
contact:
- family-names: Yu
  given-names: Qingzhao
  email: qyu@lsuhsc.edu