Package: tidypredict
Version: 0.4.8
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: GPL-3
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
NeedsCompilation: no
Packaged: 2020-10-28 00:22:52 UTC; max
Author: Max Kuhn [aut, cre]
Maintainer: Max Kuhn <max@rstudio.com>
Repository: CRAN
Date/Publication: 2020-10-28 06:50:02 UTC
Built: R 4.0.5; ; 2022-04-21 12:28:51 UTC; windows
