DESCRIPTION

Package: tidypredict
Version: 0.4.8.9000
Title: 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. 
Authors@R:
    person("Max", "Kuhn", email = "max@rstudio.com", role = c("aut", "cre"))
Depends:
    R (>= 3.1)
Imports:
    dplyr (>= 0.7),
    rlang,
    purrr,
    knitr,
    generics,
    stringr,
    tibble,
    tidyr
Suggests:
    dbplyr,
    testthat (>= 2.1.0),
    randomForest,
    ranger,
    earth (>= 5.1.2),
    rmarkdown,
    nycflights13,
    RSQLite,
    methods,
    DBI,
    covr,
    xgboost,
    Cubist,
    mlbench,
    partykit,
    yaml,
    parsnip,
    modeldata
License: MIT + file LICENSE
URL: https://tidypredict.tidymodels.org, https://github.com/tidymodels/tidypredict
BugReports: https://github.com/tidymodels/tidypredict/issues
RoxygenNote: 7.1.1.9000
Encoding: UTF-8
VignetteBuilder: knitr