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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 "RBesT" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'RBesT: R Bayesian Evidence Synthesis Tools'
version: 1.7-4
doi: 10.18637/jss.v100.i19
identifiers:
- type: doi
  value: 10.32614/CRAN.package.RBesT
abstract: Tool-set to support Bayesian evidence synthesis. This includes meta-analysis,
  (robust) prior derivation from historical data, operating characteristics and analysis
  (1 and 2 sample cases). Please refer to Weber et al. (2021) <https://doi.org/10.18637/jss.v100.i19>
  for details on applying this package while Neuenschwander et al. (2010) <https://doi.org/10.1177/1740774509356002>
  and Schmidli et al. (2014) <https://doi.org/10.1111/biom.12242> explain details
  on the methodology.
authors:
- family-names: Weber
  given-names: Sebastian
  email: sebastian.weber@novartis.com
preferred-citation:
  type: article
  title: Applying Meta-Analytic-Predictive Priors with the R Bayesian Evidence Synthesis
    Tools
  authors:
  - family-names: Weber
    given-names: Sebastian
    email: sebastian.weber@novartis.com
  - family-names: Li
    given-names: Yue
  - family-names: Seaman
    given-names: John W.
  - family-names: Kakizume
    given-names: Tomoyuki
  - family-names: Schmidli
    given-names: Heinz
  journal: Journal of Statistical Software
  year: '2021'
  volume: '100'
  issue: '19'
  doi: 10.18637/jss.v100.i19
  start: '1'
  end: '32'
repository: https://CRAN.R-project.org/package=RBesT
repository-code: https://github.com/Novartis/RBesT
url: https://opensource.nibr.com/RBesT/
date-released: '2024-11-21'
contact:
- family-names: Weber
  given-names: Sebastian
  email: sebastian.weber@novartis.com