tidymodels

Overview

About

Maintained by Max KuhnFirst published 2018-07-2717 releasesCRAN page ↗GitHub ↗

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.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("tidymodels", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("tidymodels/tidymodels")

Development version from tidymodels/tidymodels. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-tidymodels

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-tidymodels

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-tidymodels

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 4.2 min · r-devel-linux-x86_64-fedora-clang

Code health

Yes

Tests · ratio 0.03

26.7%

Coverage · measured lines

100%

Documentation · exports

21

Dependencies · direct

Check history

OK2026-06-09
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 378 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 80%
Documented parameters: 100%
Return-value docs: 17%
References docs: 0%

Downloads

867.6K

CRAN downloads in the past year

Rank #326 · ~2.4K/day · ~72.3K/mo

Releases R versions

Daily download trend is not available in this view yet.

101.5K30 days

353.8K90 days

867.6K1 year

Compare downloads with other packages →

Also on11.3K r2u13 autocran35.6K conda_forge64 c2d4u

Repository

GitHub ↗ tidymodels/tidymodels

818Stars

76Forks

6Open issues

3Open PRs

15Releases

275Commits

17Contributors

275 commits · Last activity 2026-06-07 · +0.4% stars, 30d

Stars over time

2025-07-08 · 7882026-07-10 · 818

Repository practices

Upstream repositoryBeta

8 development-tooling and community-health practices detected across 6 families in the upstream repository

Checks run against github.com/tidymodels/tidymodels on 2026-07-19.

Continuous integration (1)

GitHub Actions

CRAN release process (1)

revdep/

Docs source (1)

README.Rmd

Lint, format, editor (3)

AirVS CodeRStudio project

Show all practices

Coverage (1)

Codecov

Governance and community (1)

CODEOWNERS

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

27 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.1

Imports (21)

broom cli conflicted dials dplyr ggplot2 hardhat infer modeldata parsnip (>= 1.5.0)purrr recipes rlang rsample rstudioapi tailor tidyr tune workflows workflowsets yardstick

LinkingTo (0)

none

Suggests (6)

covr glue knitr rmarkdown testthat xml2

Enhances (0)

none

Dependency license breakdown →

Code & Tests

Code Composition

R 724 (77%)Rd 186 (20%)Vignettes 34 (4%)

Code characteristics

Object systems

S31

Cyclomatic complexity: 2.0 median / 4 max
Test cases: 2 / 0.03 per code line

Test coverage

Line coverage

27%

Expression

36.4%

Tests / Examples

26.7% / 56% ex

Functions

27 8 exported

Complexity

2 avg / 4 max

Call network

27 nodes / 21 edges

Call graph

Open call graph →

Loading call graph…

Lowest coverage

27 functions

Function	Cyclo	Coverage
pkg_deps exp	3	0%
tag_attach exp	2	0%
tag_show exp	1	0%
tag_update exp	1	0%
tidymodels_prefer exp	2	0%
tidymodels_update exp	2	0%

People & History

People (3)

Maintainer (1)

Max Kuhn

Author, Maintainer · added in 0.0.3

Authors (2)

Max Kuhn

Author, Maintainer · added in 0.0.3

Hadley Wickham

Author

Copyright holders (1)

Posit Software, PBC

Copyright holder, Funder · added in 1.1.0

Funders (1)

Posit Software, PBC

Copyright holder, Funder · added in 1.1.0

Listed in earlier versions (1)

RStudio

no longer listed · 0.0.1 to 1.0.0

Package Timeline

17 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
1.5.0Latest
2026-04-23 · current release · diff ↗
1.4.1
2025-09-08 · diff ↗
1.4.0
2025-09-05 · diff ↗
R
R 4.5.0 released · 2025-04-11
1.3.0
2025-02-21 · diff ↗
R
R 4.4.0 released · 2024-04-24
1.2.0
2024-03-25 · diff ↗
1.1.1
2023-08-24 · diff ↗
1.1.0
2023-05-01 · diff ↗
R
R 4.3.0 released · 2023-04-21
1.0.0
2022-07-13 · diff ↗
R
R 4.2.0 released · 2022-04-22
0.2.0
2022-03-19 · diff ↗
0.1.4
2021-10-01 · diff ↗
R
R 4.1.0 released · 2021-05-18

Show 10 earlier events

0.1.3
2021-04-19 · diff ↗
0.1.2
2020-11-22 · diff ↗
0.1.1
2020-07-14 · diff ↗
R
R 4.0.0 released · 2020-04-24
0.1.0
2020-02-16 · diff ↗
0.0.3
2019-10-05 · diff ↗
R
R 3.6.0 released · 2019-04-26
0.0.2
2018-11-27 · diff ↗
0.0.1
2018-07-27
R
R 3.5.0 released · 2018-04-23

Package metadata

First published: 2018-07-27
Total releases: 17 / 8 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.1
Download size: 47 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Databases with R Machine Learning & Statistical Learning Analysis of Spatial Data