Package: tidyposterior Title: Bayesian Analysis to Compare Models using Resampling Statistics Version: 1.0.2.9000 Authors@R: c( person("Max", "Kuhn", , "max@posit.co", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-2402-136X")), person("Posit Software, PBC", role = c("cph", "fnd"), comment = c(ROR = "03wc8by49")) ) Description: Bayesian analysis used here to answer the question: "when looking at resampling results, are the differences between models 'real'?" To answer this, a model can be created were the performance statistic is the resampling statistics (e.g. accuracy or RMSE). These values are explained by the model types. In doing this, we can get parameter estimates for each model's affect on performance and make statistical (and practical) comparisons between models. The methods included here are similar to Benavoli et al (2017) . License: MIT + file LICENSE URL: https://tidyposterior.tidymodels.org, https://github.com/tidymodels/tidyposterior BugReports: https://github.com/tidymodels/tidyposterior/issues Depends: R (>= 4.1) Imports: dplyr (> 1.0.0), generics, ggplot2 (>= 3.5.2), purrr, rlang, rsample (>= 0.0.2), rstanarm (>= 2.21.1), stats, tibble, tidyr (>= 0.7.1), tune (>= 0.2.0), utils, vctrs (>= 0.3.0), workflowsets Suggests: covr, knitr, parsnip, rmarkdown, splines2, testthat (>= 3.0.0), yardstick 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 libxml2-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: 2026-06-22 10:34:28 UTC; root Author: Max Kuhn [aut, cre] (ORCID: ), Posit Software, PBC [cph, fnd] (ROR: ) Maintainer: Max Kuhn