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: 0.2.1
Depends: R (≥ 3.2)
Imports: cli (≥ 2.0.0), ellipsis (≥ 0.2.0), generics, glue, hardhat (≥ 0.1.4), parsnip (≥ 0.1.3), rlang (≥ 0.4.1), tidyselect (≥ 1.1.0)
Suggests: covr, knitr, magrittr, modeldata (≥ 0.0.2), recipes, rmarkdown, testthat (≥ 2.3.0)
Published: 2020-10-08
Author: Davis Vaughan [aut, cre], RStudio [cph]
Maintainer: Davis Vaughan <davis at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: workflows results


Reference manual: workflows.pdf
Vignettes: Workflow Stages
Package source: workflows_0.2.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: workflows_0.2.1.tgz, r-oldrel: workflows_0.2.1.tgz
Old sources: workflows archive

Reverse dependencies:

Reverse imports: finetune, modeltime, modeltime.ensemble, modeltime.resample, stacks, text, tidymodels, tune
Reverse suggests: coefplot, easyalluvial, timetk


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