{ "_id": "6a117166acfb0bcc41cf7431", "Package": "tidyposterior", "Title": "Bayesian Analysis to Compare Models using Resampling Statistics", "Version": "1.0.2.9000", "Authors@R": "c(\nperson(\"Max\", \"Kuhn\", , \"max@posit.co\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0003-2402-136X\")),\nperson(\"Posit Software, PBC\", role = c(\"cph\", \"fnd\"),\ncomment = c(ROR = \"03wc8by49\"))\n)", "Description": "Bayesian analysis used here to answer the question: \"when\nlooking at resampling results, are the differences between\nmodels 'real'?\" To answer this, a model can be created were the\nperformance statistic is the resampling statistics (e.g.\naccuracy or RMSE). These values are explained by the model\ntypes. In doing this, we can get parameter estimates for each\nmodel's affect on performance and make statistical (and\npractical) comparisons between models. The methods included\nhere are similar to Benavoli et al (2017)\n.", "License": "MIT + file LICENSE", "URL": "https://tidyposterior.tidymodels.org,\nhttps://github.com/tidymodels/tidyposterior", "BugReports": "https://github.com/tidymodels/tidyposterior/issues", "VignetteBuilder": "knitr", "ByteCompile": "true", "Config/Needs/website": "tidymodels, tidyverse/tidytemplate", "Config/testthat/edition": "3", "Config/usethis/last-upkeep": "2025-04-27", "Encoding": "UTF-8", "LazyData": "true", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.2", "Config/pak/sysreqs": "cmake libglpk-dev make libicu-dev libuv1-dev\nlibxml2-dev zlib1g-dev", "Repository": "https://tidymodels.r-universe.dev", "Date/Publication": "2025-07-31 11:54:07 UTC", "RemoteUrl": "https://github.com/tidymodels/tidyposterior", "RemoteRef": "HEAD", "RemoteSha": "3f8ee55d5f7daecc5bc8a94c5caac05acd3af4b0", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-23 09:14:59 UTC", "User": "root" }, "Author": "Max Kuhn 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