Package: tidypredict
Title: Run Predictions Inside the Database
Version: 0.5
Authors@R:
    c(
      person("Edgar", "Ruiz", email = "edgar@posit.co", role = c("aut", "cre")),
      person("Max", "Kuhn", email = "max@posit.co", role = c("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 (>= 3.1)
Imports:
    dplyr (>= 0.7),
    generics,
    knitr,
    purrr,
    rlang,
    tibble,
    tidyr
Suggests:
    covr,
    Cubist,
    DBI,
    dbplyr,
    earth (>= 5.1.2),
    methods,
    mlbench,
    modeldata,
    nycflights13,
    parsnip,
    partykit,
    randomForest,
    ranger,
    rmarkdown,
    RSQLite,
    testthat (>= 3.0.0),
    xgboost,
    yaml
VignetteBuilder: 
    knitr
Config/Needs/website: 
    tidyverse/tidytemplate
Encoding: UTF-8
RoxygenNote: 7.2.3
Config/testthat/edition: 3
