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tidymodels: Easily Install and Load the 'Tidymodels' Packages

The tidy modeling "verse" is a collection of packages for modeling and statistical analysis that share the underlying design philosophy, grammar, and data structures of the tidyverse.

Version: 1.2.0
Depends: R (≥ 3.6)
Imports: broom (≥ 1.0.5), cli (≥ 3.6.2), conflicted (≥ 1.2.0), dials (≥ 1.2.1), dplyr (≥ 1.1.4), ggplot2 (≥ 3.5.0), hardhat (≥ 1.3.1), infer (≥ 1.0.6), modeldata (≥ 1.3.0), parsnip (≥ 1.2.1), purrr (≥ 1.0.2), recipes (≥ 1.0.10), rlang (≥ 1.1.3), rsample (≥ 1.2.1), rstudioapi (≥ 0.16.0), tibble (≥ 3.2.1), tidyr (≥ 1.3.1), tune (≥ 1.2.0), workflows (≥ 1.1.4), workflowsets (≥ 1.1.0), yardstick (≥ 1.3.1)
Suggests: covr, glue, knitr, rmarkdown, testthat (≥ 3.0.0), xml2
Published: 2024-03-25
DOI: 10.32614/CRAN.package.tidymodels
Author: Max Kuhn ORCID iD [aut, cre], Hadley Wickham [aut], Posit Software, PBC [cph, fnd]
Maintainer: Max Kuhn <max at posit.co>
BugReports: https://github.com/tidymodels/tidymodels/issues
License: MIT + file LICENSE
URL: https://tidymodels.tidymodels.org, https://github.com/tidymodels/tidymodels
NeedsCompilation: no
Citation: tidymodels citation info
Materials: README NEWS
In views: MachineLearning
CRAN checks: tidymodels results

Documentation:

Reference manual: tidymodels.pdf
Vignettes: Using tags

Downloads:

Package source: tidymodels_1.2.0.tar.gz
Windows binaries: r-devel: tidymodels_1.2.0.zip, r-release: tidymodels_1.2.0.zip, r-oldrel: tidymodels_1.2.0.zip
macOS binaries: r-release (arm64): tidymodels_1.2.0.tgz, r-oldrel (arm64): tidymodels_1.2.0.tgz, r-release (x86_64): tidymodels_1.2.0.tgz, r-oldrel (x86_64): tidymodels_1.2.0.tgz
Old sources: tidymodels archive

Reverse dependencies:

Reverse depends: sae.projection, tidysdm
Reverse imports: modeltime, OddsPlotty, rUM
Reverse suggests: counterfactuals, DALEXtra, fmeffects, healthyR.ts, lnmixsurv, marginaleffects, mmrm, modeltime.ensemble, modeltime.resample, multilevelmod, r4ds.tutorials, SSLR, tabnet, vivid, waywiser
Reverse enhances: vip

Linking:

Please use the canonical form https://CRAN.R-project.org/package=tidymodels 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.