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In particular, here we use the\nmethod outlined in Monroe, Colaresi, and Quinn (2008)\n to weight the log odds ratio by a\nprior. By default, the prior is estimated from the data itself,\nan empirical Bayes approach, but an uninformative prior is also\navailable.", "License": "MIT + file LICENSE", "URL": "https://juliasilge.github.io/tidylo/,\nhttps://github.com/juliasilge/tidylo", "BugReports": "https://github.com/juliasilge/tidylo/issues", "VignetteBuilder": "knitr", "Config/testthat/edition": "3", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.1.2", "Repository": "https://juliasilge.r-universe.dev", "Date/Publication": "2022-03-22 14:56:26 UTC", "RemoteUrl": "https://github.com/juliasilge/tidylo", "RemoteRef": "HEAD", "RemoteSha": "5b8d9b0dc9edf48873c6db379e62566905e75f5d", "NeedsCompilation": "no", "Packaged": { "Date": "2026-09-19 10:02:40 UTC", "User": "root" }, "Author": "Tyler Schnoebelen [aut],\nJulia Silge [aut, cre, cph] (ORCID:\n),\nAlex Hayes [aut] (ORCID: )", "Maintainer": "Julia Silge ", "_user": "juliasilge", "_type": "src", "_file": "tidylo_0.2.0.9000.tar.gz", 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