R Observatory: Metrics for tidyAML version 0.0.6

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

tidyAML

0.0.6

Automatic Machine Learning with 'tidymodels'

0packages depend

2.9Kdownloads / year

–test coverage

11/13checks pass

Overview

About

Maintained by Steven SandersonFirst published 2023-02-166 releasesCRAN page ↗GitHub ↗

The goal of this package will be to provide a simple interface for automatic machine learning that fits the 'tidymodels' framework. The intention is to work for regression and classification problems with a simple verb framework.

Install

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

install.packages("tidyAML", 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("spsanderson/tidyAML")

Development version from spsanderson/tidyAML. 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-tidyaml

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-tidyAML

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-tidyAML

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

Health

CRAN checks

2NOTE11OK

Failing flavors

NOTE r-devel-linux-x86_64-debian-clang
NOTE r-devel-linux-x86_64-debian-gcc

Slowest check: 2.6 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

97%

Documentation · exports

13

Dependencies · direct

Check history

NOTE2026-06-09
11 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
11 OK · 1 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
NOTE2026-03-10
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 555 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 94%
Documented parameters: 100%
Return-value docs: 100%
References docs: 0%

Downloads

2.9K

CRAN downloads in the past year

Rank #13,558 · ~8/day · ~240/mo

Releases R versions

Daily download trend is not available in this view yet.

24430 days

76790 days

2.9K1 year

Compare downloads with other packages →

Also on96 r2u29 autocran

Repository

GitHub ↗ spsanderson/tidyaml

69Stars

6Forks

1Open issues

0Open PRs

9Releases

414Commits

3Contributors

automatic-machine-learningautomlmachine-learningtidytidymodelstidyverseclassificationparsnip

414 commits · Last activity 2026-08-21 · 0% stars, 30d

Stars over time

2025-08-23 · 692026-07-07 · 69

Repository practices

Upstream repositoryBeta

4 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/spsanderson/tidyaml on 2026-08-23.

CRAN release process (1)

cran-comments.md

Docs source (1)

README.Rmd

Lint, format, editor (1)

RStudio project

Governance and community (1)

Issue templates

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: copilot on 2025-08-23

copilot

Most recent: copilot on 2025-08-23

Evidence

copilot: on 2025-08-23 · evidence A, D · sole bot-author seen

How this is detected·Detection ruleset v2 (updated 2026-07-29)

Dependencies

Declared dependencies

40 external dependencies (excludes base and recommended)

Depends (2)

R >= 4.1.0parsnip

Imports (12)

rlang purrr dplyr rsample workflows forcats workflowsets tidyr broom ggplot2 magrittr tune

LinkingTo (0)

none

Suggests (29)

knitr rmarkdownstatstibble stringrutilsrecipes multilevelmod rules poissonreg censored baguette bonsai brulee rstanarm dbarts kknn ranger randomForest LiblineaR flexsurv gee glmnet discrim kernlab klaR mda sda sparsediscrim

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (1)

Maintainer (1)

Steven Sanderson

Author, Maintainer, Copyright holder

Authors (1)

Steven Sanderson

Author, Maintainer, Copyright holder

Copyright holders (1)

Steven Sanderson

Author, Maintainer, Copyright holder

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
0.0.6Latest
2025-05-12 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
0.0.5
2024-03-12 · diff ↗
0.0.4
2024-01-09 · diff ↗
0.0.3
2023-11-29 · diff ↗
R
R 4.3.0 released · 2023-04-21
0.0.2
2023-04-20 · diff ↗
0.0.1
2023-02-16
R
R 4.2.0 released · 2022-04-22

Package metadata

First published: 2023-02-16
Total releases: 6 / 3 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.1.0
Download size: 89 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("tidyAML")

Format

Sanderson, S. (2025). tidyAML: Automatic Machine Learning with 'tidymodels' (Version 0.0.6) [Computer software]. https://doi.org/10.32614/CRAN.package.tidyAML

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for tidyAML version 0.0.6 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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