Package: tidypredict
Title: Run Predictions Inside the Database
Version: 0.5.1
Authors@R: c(
    person("Emil", "Hvitfeldt", , "emil.hvitfeldt@posit.co", role = c("aut", "cre")),
    person("Edgar", "Ruiz", , "edgar@posit.co", role = "aut"),
    person("Max", "Kuhn", , "max@posit.co", role = "aut")
  )
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: MIT + file LICENSE
URL: https://tidypredict.tidymodels.org,
        https://github.com/tidymodels/tidypredict
BugReports: https://github.com/tidymodels/tidypredict/issues
Depends: R (>= 3.6)
Imports: cli, dplyr (>= 0.7), generics, knitr, purrr, rlang (>= 1.1.1),
        tibble, tidyr
Suggests: covr, Cubist, DBI, dbplyr, earth (>= 5.1.2), methods,
        mlbench, modeldata, nycflights13, parsnip, partykit,
        randomForest, ranger, rmarkdown, RSQLite, testthat (>= 3.2.0),
        xgboost, yaml
VignetteBuilder: knitr
Config/Needs/website: tidyverse/tidytemplate
Config/testthat/edition: 3
Encoding: UTF-8
RoxygenNote: 7.3.2
NeedsCompilation: no
Packaged: 2024-12-18 19:23:00 UTC; emilhvitfeldt
Author: Emil Hvitfeldt [aut, cre],
  Edgar Ruiz [aut],
  Max Kuhn [aut]
Maintainer: Emil Hvitfeldt <emil.hvitfeldt@posit.co>
Repository: CRAN
Date/Publication: 2024-12-19 08:50:02 UTC
Built: R 4.6.0; ; 2025-10-14 03:10:47 UTC; windows
