The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

workflows: Modeling Workflows

Managing both a 'parsnip' model and a preprocessor, 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 alongside the preprocessor, all within the same object.

Version: 1.1.4
Depends: R (≥ 3.6)
Imports: cli (≥ 3.3.0), generics (≥ 0.1.2), glue (≥ 1.6.2), hardhat (≥ 1.2.0), lifecycle (≥ 1.0.3), modelenv (≥ 0.1.0), parsnip (≥ 1.2.0), rlang (≥ 1.0.3), tidyselect (≥ 1.2.0), vctrs (≥ 0.4.1)
Suggests: butcher (≥ 0.2.0), covr, dials (≥ 1.0.0), knitr, magrittr, modeldata (≥ 1.0.0), recipes (≥ 1.0.0), rmarkdown, testthat (≥ 3.0.0)
Published: 2024-02-19
Author: Davis Vaughan [aut], Simon Couch ORCID iD [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

Downloads:

Package source: workflows_1.1.4.tar.gz
Windows binaries: r-devel: workflows_1.1.4.zip, r-release: workflows_1.1.4.zip, r-oldrel: workflows_1.1.4.zip
macOS binaries: r-release (arm64): workflows_1.1.4.tgz, r-oldrel (arm64): workflows_1.1.4.tgz, r-release (x86_64): workflows_1.1.4.tgz, r-oldrel (x86_64): workflows_1.1.4.tgz
Old sources: workflows archive

Reverse dependencies:

Reverse imports: agua, finetune, finnts, healthyR.ai, MLDataR, modeltime, modeltime.resample, probably, stacks, text, tidyAML, tidymodels, tidysdm, tune, viraldomain, viralmodels, viralx, workflowsets
Reverse suggests: additive, bayesian, bundle, coefplot, easyalluvial, gtsummary, healthyR.ts, marginaleffects, nestedmodels, offsetreg, recipes, tabnet, tidyclust, tidydann, timetk, vetiver
Reverse enhances: vip

Linking:

Please use the canonical form https://CRAN.R-project.org/package=workflows to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.