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# CITATION.cff 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 "rmBayes" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'rmBayes: Performing Bayesian Inference for Repeated-Measures Designs'
version: 0.1.16
doi: 10.32614/CRAN.package.rmBayes
abstract: A Bayesian credible interval is interpreted with respect to posterior probability,
  and this interpretation is far more intuitive than that of a frequentist confidence
  interval. However, standard highest-density intervals can be wide due to between-subjects
  variability and tends to hide within-subject effects, rendering its relationship
  with the Bayes factor less clear in within-subject (repeated-measures) designs.
  This urgent issue can be addressed by using within-subject intervals in within-subject
  designs, which integrate four methods including the Wei-Nathoo-Masson (2023) <https://doi.org/10.3758/s13423-023-02295-1>,
  the Loftus-Masson (1994) <https://doi.org/10.3758/BF03210951>, the Nathoo-Kilshaw-Masson
  (2018) <https://doi.org/10.1016/j.jmp.2018.07.005>, and the Heck (2019) <https://doi.org/10.31234/osf.io/whp8t>
  interval estimates.
authors:
- family-names: Wei
  given-names: Zhengxiao
  email: zhengxiao@uvic.ca
  orcid: https://orcid.org/0000-0003-1866-2320
- family-names: Nathoo
  given-names: Farouk S.
  email: nathoo@uvic.ca
  orcid: https://orcid.org/0000-0002-2569-3507
- family-names: Masson
  given-names: Michael E. J.
  email: mmasson@uvic.ca
  orcid: https://orcid.org/0000-0002-5430-6078
repository: https://cran.r-universe.dev
repository-code: https://github.com/zhengxiaoUVic/rmBayes
commit: 2dd45576b130e3b1a6567d04047db8d8198a0d61
url: https://github.com/zhengxiaoUVic/rmBayes
date-released: '2024-02-19'
contact:
- family-names: Wei
  given-names: Zhengxiao
  email: zhengxiao@uvic.ca
  orcid: https://orcid.org/0000-0003-1866-2320