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J.\",\nfamily = \"Masson\",\nrole = c(\"aut\"),\nemail = \"mmasson@uvic.ca\",\ncomment = c(ORCID = \"0000-0002-5430-6078\")))", "Description": "A Bayesian credible interval is interpreted with respect\nto posterior probability, and this interpretation is far more\nintuitive than that of a frequentist confidence interval.\nHowever, standard highest-density intervals can be wide due to\nbetween-subjects variability and tends to hide within-subject\neffects, rendering its relationship with the Bayes factor less\nclear in within-subject (repeated-measures) designs. This\nurgent issue can be addressed by using within-subject intervals\nin within-subject designs, which integrate four methods\nincluding the Wei-Nathoo-Masson (2023)\n, the Loftus-Masson (1994)\n, the Nathoo-Kilshaw-Masson (2018)\n, and the Heck (2019)\n interval estimates.", "License": "GPL (>= 3)", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.3.1", "Biarch": "true", "SystemRequirements": "GNU make", "URL": "https://github.com/zhengxiaoUVic/rmBayes", "BugReports": "https://github.com/zhengxiaoUVic/rmBayes/issues", "Config/testthat/edition": "3", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-10-29 11:11:57 UTC", "User": "root" }, "Author": "Zhengxiao Wei [aut, cre]\n(), Farouk S. Nathoo\n[aut] (), Michael E. 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