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: |
0.5.1 |
| Depends: |
R (≥ 4.1) |
| Imports: |
cli, dplyr, generics (≥ 0.1.2), rlang |
| Suggests: |
arrow, bonsai, DBI, dbplyr, dtplyr, duckdb, earth, embed, glmnet, glue, gt, hardhat, jsonlite, kknn, knitr, lightgbm, modeldata, parsnip, partykit, probably, R6, randomForest, ranger, recipes, rmarkdown, rpart, RSQLite, rstanarm, sparklyr, splines2, tailor, testthat (≥ 3.0.0), themis, tibble, tidypredict (≥ 1.1.0), workflows, xgboost |
| Published: |
2026-03-13 |
| DOI: |
10.32614/CRAN.package.orbital |
| Author: |
Emil Hvitfeldt [aut, cre],
Posit Software, PBC  [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 |
| In views: |
Databases |
| CRAN checks: |
orbital results |