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-subjects effects, rendering its relationship with the Bayes factor less clear in within-subjects (repeated-measures) designs. This urgent issue can be addressed by using within-subjects intervals in within-subjects designs.
|Author||Zhengxiao Wei [aut, cre] (<https://orcid.org/0000-0003-1866-2320>), Farouk S. Nathoo [aut] (<https://orcid.org/0000-0002-2569-3507>), Michael E.J. Masson [aut] (<https://orcid.org/0000-0002-5430-6078>)|
|Maintainer||Zhengxiao Wei <email@example.com>|
|License||GPL (>= 3)|
|Package repository||View on CRAN|
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