Predict with 'tidymodels' Workflows in Databases [R package orbital version 0.3.1]

Emil Hvitfeldt

orbital: Predict with 'tidymodels' Workflows in Databases

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.

Version: 0.3.1

Depends: R (≥ 4.1)

Imports: cli, dplyr, generics (≥ 0.1.2), rlang

Suggests: arrow, bonsai, DBI, dbplyr, dtplyr, duckdb, embed, glue, gt, hardhat, jsonlite, kknn, knitr, modeldata, parsnip, partykit, R6, recipes, rmarkdown, RSQLite, rstanarm, sparklyr, testthat (≥ 3.0.0), themis, tibble, tidypredict (≥ 0.5.1), workflows

Published: 2025年08月30日

DOI: 10.32614/CRAN.package.orbital

Author: Emil Hvitfeldt [aut, cre], Posit Software, PBC ROR ID [cph, fnd]

Maintainer: Emil Hvitfeldt <emil.hvitfeldt at posit.co>

BugReports: https://github.com/tidymodels/orbital/issues

License: MIT + file LICENSE

URL: https://github.com/tidymodels/orbital, https://orbital.tidymodels.org

NeedsCompilation: no

Materials: README, NEWS

CRAN checks: orbital results

Documentation:

Reference manual: orbital.html , orbital.pdf

Vignettes: Supported Models and recipes steps (source, R code)

Downloads:

Package source: orbital_0.3.1.tar.gz

Windows binaries: r-devel: orbital_0.3.1.zip, r-release: orbital_0.3.1.zip, r-oldrel: orbital_0.3.1.zip

macOS binaries: r-release (arm64): orbital_0.3.1.tgz, r-oldrel (arm64): orbital_0.3.1.tgz, r-release (x86_64): orbital_0.3.1.tgz, r-oldrel (x86_64): orbital_0.3.1.tgz

Old sources: orbital archive

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