@@ -22572,3 +22572,45 @@ functions and classes to be used in conjunction with other
hyper-parameters in models, pre-processing methods, and
post-processing steps.")
(license license:expat)))
+
+(define-public r-tidyposterior
+ (package
+ (name "r-tidyposterior")
+ (version "0.0.3")
+ (source
+ (origin
+ (method url-fetch)
+ (uri (cran-uri "tidyposterior" version))
+ (sha256
+ (base32
+ "0wsv800w056ziqbnwal7ncmdy4li8cn5yrdx07w35b7j8kl4mwhg"))))
+ (properties `((upstream-name . "tidyposterior")))
+ (build-system r-build-system)
+ (propagated-inputs
+ `(("r-dplyr" ,r-dplyr)
+ ("r-generics" ,r-generics)
+ ("r-ggplot2" ,r-ggplot2)
+ ("r-lifecycle" ,r-lifecycle)
+ ("r-purrr" ,r-purrr)
+ ("r-rlang" ,r-rlang)
+ ("r-rsample" ,r-rsample)
+ ("r-rstanarm" ,r-rstanarm)
+ ("r-tibble" ,r-tibble)
+ ("r-tidyr" ,r-tidyr)
+ ("r-vctrs" ,r-vctrs)))
+ (native-inputs `(("r-knitr" ,r-knitr)))
+ (home-page
+ "https://tidyposterior.tidymodels.org")
+ (synopsis
+ "Bayesian Analysis to Compare Models using Resampling Statistics")
+ (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)
+<http://jmlr.org/papers/v18/16-305.html>.")
+ (license license:gpl2)))