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tidylearn

0.4.0

A Unified Tidy Interface to R's Machine Learning Ecosystem

0packages depend
2.9Kdownloads / year
49.4%test coverage
13/13checks pass

Overview

About
Maintained by Cesaire TobiasFirst published 2026-02-066 releasesCRAN page ↗GitHub ↗

Provides a unified tidyverse-compatible interface to R's machine learning ecosystem - from data ingestion to model publishing. The tl_read() family reads data from files ('CSV', 'Excel', 'Parquet', 'JSON'), databases ('SQLite', 'PostgreSQL', 'MySQL', 'BigQuery'), and cloud sources ('S3', 'GitHub', 'Kaggle'). The tl_model() function wraps established implementations from 'glmnet', 'randomForest', 'xgboost', 'e1071', 'rpart', 'gbm', 'nnet', 'cluster', 'dbscan', and others with consistent function signatures and tidy tibble output. Results flow into unified 'ggplot2'-based visualization and optional formatted 'gt' tables via the tl_table() family. The underlying algorithms are unchanged; 'tidylearn' simply makes them easier to use together. Access raw model objects via the $fit slot for package-specific functionality. Methods include random forests Breiman (2001) doi:10.1023/A:1010933404324, LASSO regression Tibshirani (1996) doi:10.1111/j.2517-6161.1996.tb02080.x, elastic net Zou and Hastie (2005) doi:10.1111/j.1467-9868.2005.00503.x, support vector machines Cortes and Vapnik (1995) doi:10.1007/BF00994018, and gradient boosting Friedman (2001) doi:10.1214/aos/1013203451.

Install

Health

CRAN checks
13OK
Slowest check: 7.2 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.22
49.4%
Coverage · measured lines
99%
Documentation · exports
22
Dependencies · direct
Check history
  • OK2026-08-04
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • 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
  • OK2026-04-14
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 2 earlier snapshots
  • ERROR2026-04-10
    13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 911 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
7%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Downloads

2.9K
CRAN downloads in the past year
Rank #7,668 · ~8/day · ~239/mo
Daily download trend is not available in this view yet.
24230 days
1.1K90 days
2.9K1 year
Compare downloads with other packages →
Also on81 r2u19 autocran

Repository

Repository
5Stars
1Forks
0Open issues
0Open PRs
0Releases
42Commits
2Contributors
42 commits · Last activity 2026-08-10 · 0% stars, 30d

Stars over time

2026-04-13 · 32026-07-07 · 5

Repository practices

Upstream repositoryBeta

5 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/ces0491/tidylearn on 2026-08-16.

Continuous integration (1)
GitHub Actions
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Lint, format, editor (2)
lintrRStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Development tooling

AI-assisted toolingBeta

Uses AI-assisted development tooling (declared in repo)

Earliest detected marker: claude on 2026-01-19

claude

Most recent: claude on 2026-01-19

Evidence
  • claude: on 2026-01-19 · evidence B, D
How this is detected·Detection ruleset v2 (updated 2026-07-29)

Dependencies

Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

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

  • 0.4.0Latest
    2026-08-03 · current release · diff ↗
  • 0.3.1
    2026-05-19 · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 0.3.0
    2026-04-09 · diff ↗
  • 0.2.0
    2026-03-16 · diff ↗
  • 0.1.1
    2026-03-13 · diff ↗
  • 0.1.0
    2026-03-10
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2026-02-06
Total releases
6 / 1 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.6.0
Download size
641 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("tidylearn")
Tobias, C. (2026). tidylearn: A Unified Tidy Interface to R's Machine Learning Ecosystem (Version 0.4.0) [Computer software]. https://doi.org/10.32614/CRAN.package.tidylearn

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for tidylearn version 0.4.0 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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