@@ -22614,3 +22614,36 @@ 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)))
+
+(define-public r-tidypredict
+ (package
+ (name "r-tidypredict")
+ (version "0.4.5")
+ (source
+ (origin
+ (method url-fetch)
+ (uri (cran-uri "tidypredict" version))
+ (sha256
+ (base32
+ "1i6zl6wjz6wbpkmkc9z9ikp8zgck3qh38lar0r6q2jzl8fxpimg4"))))
+ (properties `((upstream-name . "tidypredict")))
+ (build-system r-build-system)
+ (propagated-inputs
+ `(("r-dplyr" ,r-dplyr)
+ ("r-generics" ,r-generics)
+ ("r-knitr" ,r-knitr)
+ ("r-purrr" ,r-purrr)
+ ("r-rlang" ,r-rlang)
+ ("r-tibble" ,r-tibble)))
+ (native-inputs `(("r-knitr" ,r-knitr)))
+ (home-page
+ "https://tidypredict.tidymodels.org")
+ (synopsis "Run Predictions Inside the Database")
+ (description
+ "It parses a fitted 'R' model object, and returns a formula in
+'Tidy Eval' code that calculates the predictions. It works with
+several databases back-ends because it leverages 'dplyr' and 'dbplyr'
+for the final 'SQL' translation of the algorithm. It currently
+supports lm(), glm(), randomForest(), ranger(), earth(),
+xgb.Booster.complete(), cubist(), and ctree() models.")
+ (license license:gpl3)))