Package: tidypredict
Title: Run Predictions Inside the Database
Version: 1.0.1
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, jsonlite, knitr, purrr, rlang
        (>= 1.1.1), tibble, tidyr
Suggests: covr, Cubist (>= 0.5.1), DBI, dbplyr, earth (>= 5.1.2),
        glmnet, 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: 7.3.3
NeedsCompilation: no
Packaged: 2025-12-12 20:13:44 UTC; emilhvitfeldt
Author: Emil Hvitfeldt [aut, cre],
  Edgar Ruiz [aut],
  Max Kuhn [aut]
Maintainer: Emil Hvitfeldt <emil.hvitfeldt@posit.co>
Repository: CRAN
Date/Publication: 2025-12-13 06:10:11 UTC
Built: R 4.4.3; ; 2026-02-25 04:42:14 UTC; windows
