Package: tidyposterior
Title: Bayesian Analysis to Compare Models using Resampling Statistics
Version: 1.0.2
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)
    <https://jmlr.org/papers/v18/16-305.html>.
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
RoxygenNote: 7.3.2
NeedsCompilation: no
Packaged: 2025-07-31 11:37:18 UTC; max
Author: Max Kuhn [aut, cre] (ORCID: <https://orcid.org/0000-0003-2402-136X>),
  Posit Software, PBC [cph, fnd] (ROR: <https://ror.org/03wc8by49>)
Maintainer: Max Kuhn <max@posit.co>
Repository: CRAN
Date/Publication: 2025-07-31 12:00:02 UTC
Built: R 4.6.0; ; 2026-04-25 13:53:47 UTC; unix
