R Observatory: Metrics for mlr3batchmark version 0.2.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

mlr3batchmark

0.2.2

Batch Experiments for 'mlr3'

2packages depend

39.3Kdownloads / year

89.2%test coverage

13/13checks pass

Overview

About

Maintained by Marc BeckerFirst published 2023-04-255 releasesCRAN page ↗GitHub ↗

Extends the 'mlr3' package with a connector to the package 'batchtools'. This allows to run large-scale benchmark experiments on scheduled high-performance computing clusters.

Install

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

install.packages("mlr3batchmark", 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("mlr-org/mlr3batchmark")

Development version from mlr-org/mlr3batchmark. 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-mlr3batchmark

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-mlr3batchmark

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-mlr3batchmark

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

Health

CRAN checks

13OK

Slowest check: 1.8 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.71

89.2%

Coverage · measured lines

100%

Documentation · exports

7

Dependencies · direct

Check history

OK2026-08-05
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
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 513 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

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

Downloads

39.3K

CRAN downloads in the past year

Rank #2,457 · ~108/day · ~3.3K/mo

Releases R versions

Daily download trend is not available in this view yet.

2.1K30 days

7.8K90 days

39.3K1 year

Compare downloads with other packages →

Also on130 r2u10 autocran

Repository

GitHub ↗ mlr-org/mlr3batchmark

5Stars

3Forks

6Open issues

1Open PRs

5Releases

105Commits

8Contributors

batchtoolsmlr3hpccluster-computingrhigh-performance-computingr-package

105 commits · Last activity 2026-08-13

Stars over time

2023-10-07 · 42026-07-07 · 5

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/mlr-org/mlr3batchmark on 2026-08-16.

Continuous integration (1)

GitHub Actions

Docs source (1)

README.Rmd

Automation and maintenance (1)

Dependabot

Lint, format, editor (5)

lintrAirEditorConfigVS CodeRStudio project

Show all practices

Git structural (1)

blame-ignore revs

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 2026-03-18

claudecursorgemini

Most recent: gemini on 2026-03-18

Evidence

agents-md: on 2026-03-18 · evidence D
claude: on 2026-03-18 · evidence B, D
cursor: on 2026-03-18 · evidence D
gemini: on 2026-03-18 · evidence D

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

Dependencies

Declared dependencies

9 external dependencies (excludes base and recommended)

Depends (2)

R >= 3.1.0batchtools

Imports (6)

checkmate data.table lgr mlr3 mlr3misc uuid

LinkingTo (0)

none

Suggests (3)

renvrparttestthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

2direct

0indirect

mlr3resampling mlr3verse

Code & Tests

People & History

People (3)

Maintainer (1)

Marc Becker

Maintainer, Author · added in 0.1.1

Authors (2)

Marc Becker

Maintainer, Author · added in 0.1.1

Michel Lang

Author

Contributors (1)

Toby Hocking

Contributor · added in 0.2.0

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
0.2.2Latest
2025-09-04 · current release · diff ↗
0.2.1
2025-05-26 · diff ↗
R
R 4.5.0 released · 2025-04-11
0.2.0
2024-11-25 · diff ↗
R
R 4.4.0 released · 2024-04-24
0.1.1
2023-11-17 · diff ↗
0.1.0
2023-04-25
R
R 4.3.0 released · 2023-04-21

Package metadata

First published: 2023-04-25
Total releases: 5 / 3 yrs
License: LGPL-3 OSI
Minimum R: ≥ 3.1.0
Download size: 10 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("mlr3batchmark")

Format

Becker, M., Hocking, T., & Lang, M. (2025). mlr3batchmark: Batch Experiments for 'mlr3' (Version 0.2.2) [Computer software]. https://doi.org/10.32614/CRAN.package.mlr3batchmark

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 mlr3batchmark version 0.2.2 [Data set]. HJJB, LLC. Data release v2026-08-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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