Package: orbital
Title: Predict with 'tidymodels' Workflows in Databases
Version: 0.2.0
Authors@R: c(
    person("Emil", "Hvitfeldt", , "emil.hvitfeldt@posit.co", role = c("aut", "cre")),
    person("Posit Software, PBC", role = c("cph", "fnd"))
  )
Description: Turn 'tidymodels' workflows into objects containing the
    sufficient sequential equations to perform predictions. These smaller
    objects allow for low dependency prediction locally or directly in
    databases.
License: MIT + file LICENSE
URL: https://github.com/tidymodels/orbital
BugReports: https://github.com/tidymodels/orbital/issues
Imports: cli, dplyr, rlang
Suggests: arrow, DBI, dbplyr, dtplyr, duckdb, embed, glue, hardhat,
        jsonlite, kknn, knitr, modeldata, parsnip, R6, recipes,
        rmarkdown, RSQLite, rstanarm, sparklyr, testthat (>= 3.0.0),
        themis, tidypredict, workflows
VignetteBuilder: knitr
Config/Needs/website: tidyverse/tidytemplate, rmarkdown
Config/testthat/edition: 3
Encoding: UTF-8
RoxygenNote: 7.3.2
NeedsCompilation: no
Packaged: 2024-07-28 04:02:15 UTC; emilhvitfeldt
Author: Emil Hvitfeldt [aut, cre],
  Posit Software, PBC [cph, fnd]
Maintainer: Emil Hvitfeldt <emil.hvitfeldt@posit.co>
Repository: CRAN
Date/Publication: 2024-07-28 04:20:02 UTC
