workflows: Modeling Workflows
Managing both a 'parsnip' model and its data preparation steps, such as a model formula or recipe from 'recipes', can often be challenging. The goal of 'workflows' is to streamline this process by bundling the model with its data preparation, all within the same object.
| Version: | 1.2.0 |
| Depends: | R (≥ 4.0) |
| Imports: | cli (≥ 3.3.0), generics (≥ 0.1.2), glue (≥ 1.6.2), hardhat (≥ 1.4.1), lifecycle (≥ 1.0.3), modelenv (≥ 0.1.0), parsnip (≥ 1.3.0), recipes (≥ 1.1.1), rlang (≥ 1.1.0), tidyselect (≥ 1.2.0), sparsevctrs (≥ 0.2.0), vctrs (≥ 0.4.1), withr |
| Suggests: | butcher (≥ 0.2.0), covr, dials (≥ 1.0.0), glmnet, knitr, magrittr, Matrix, methods, modeldata (≥ 1.0.0), probably, rsample, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2025-02-19 |
| DOI: | 10.32614/CRAN.package.workflows |
| Author: | Davis Vaughan [aut],
Simon Couch  [aut,
cre],
Posit Software, PBC [cph, fnd] |
| Maintainer: | Simon Couch <simon.couch at posit.co> |
| BugReports: | https://github.com/tidymodels/workflows/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/tidymodels/workflows, https://workflows.tidymodels.org |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | workflows results |
Documentation:
| Reference manual: | workflows.pdf |
| Vignettes: |
Workflow Stages (source, R code) |
Downloads:
| Package source: | workflows_1.2.0.tar.gz |
| Windows binaries: | r-devel: workflows_1.1.4.zip, r-release: workflows_1.2.0.zip, r-oldrel: workflows_1.1.4.zip |
| macOS binaries: | r-devel (arm64): workflows_1.1.4.tgz, r-release (arm64): workflows_1.1.4.tgz, r-oldrel (arm64): workflows_1.1.4.tgz, r-devel (x86_64): workflows_1.2.0.tgz, r-release (x86_64): workflows_1.2.0.tgz, r-oldrel (x86_64): workflows_1.2.0.tgz |
| Old sources: | workflows archive |
Reverse dependencies:
| Reverse imports: | agua, autostats, fastml, finetune, finnts, healthyR.ai, ldmppr, MLDataR, modeltime, modeltime.ensemble, modeltime.resample, probably, sae.projection, stacks, text, tidyAML, tidymodels, tidysdm, tune, viraldomain, viralmodels, viralx, workflowsets |
| Reverse suggests: | additive, bayesian, bundle, coefplot, easyalluvial, gtsummary, healthyR.ts, marginaleffects, nestedmodels, offsetreg, orbital, parttree, recipes, shapr, tabnet, tidyclust, tidydann, timetk, vetiver |
| Reverse enhances: | vip |
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