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mikropml

1.7.1Package record

User-Friendly R Package for Supervised Machine Learning Pipelines

0packages depend
6.6Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

An interface to build machine learning models for classification and regression problems. 'mikropml' implements the ML pipeline described by Topçuoğlu et al. (2020) doi:10.1128/mBio.00434-20 with reasonable default options for data preprocessing, hyperparameter tuning, cross-validation, testing, model evaluation, and interpretation steps. See the website https://www.schlosslab.org/mikropml/ for more information, documentation, and examples.

Changes in 1.7.1

From NEWS.md in the release

Install

Health

CRAN checks
2ERROR11OK
Check messages
ERRORpackage dependenciesr-oldrel-macos-arm64, r-oldrel-macos-x86_64
Package required but not available: ‘TreeSummarizedExperiment’

See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.

CRAN check page ↗

Slowest check: 14.2 min · r-oldrel-windows-x86_64
Status changes
  • ERROR11 OK, 2 ERRORNow
  • ERROR8 OK, 3 NOTE, 3 ERROR2026-03-10
Advisories

none known

Documentation

In release 1.7.1
READMEYes · 587 wordsVignettesYes · 3 · dynamicNEWSYes · 100% structured · mentions 1.7.1Citation fileYes · cites a publicationWebsiteYes · pkgdown
Cites a JOSS paper
Help pages
103 (58 internal)includes a package overview page
Examples that run
26%20 run in a plain check · 56 never run
Exported functions with examples
94%
Documented parameters
100%
Return-value docs
94%
Help pages citing references
0%

Downloads

6.6K
CRAN downloads in the past year
Rank #4,519 · ~18/day · ~550/mo
Daily download trend is not available in this view yet.
65730 days
1.8K90 days
6.6K1 year
Compare downloads with other packages →
Also on165 r2u12 autocran2.3K conda_forge

Repository

65Stars
22Forks
11Open issues
2Open PRs
15Releases
2,573Commits
23Commit identities
machine-learningr-packagerstats
2,573 commits · Last activity 2026-08-29 · 0% stars, 30d · Default branch at 1.7.1.9000, ahead of CRAN 1.7.1 (checked 2026-10-11) · Discussions: 12 posts
Responsiveness
How these are sampled
PRs merged (all time)
98%
Median days to close, 50 most recently updated closed issues
26
Median days to close, 50 most recently updated closed PRs
2

Stars over time

2025-07-30 · 592026-08-10 · 65
PracticesBeta

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

Checks run against github.com/schlosslab/mikropml on 2026-10-11.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows

Governance and community (5)
Code of conductContributing guideIssue templatesPR templateSupport guide
Docs source (4)
README.Rmdpkgdown

GitHub Pages site last deployed 2026-08-29 · The repository has a site deploy workflow

pkgdown site last built 2026-08-28

Coverage (1)
Coverage reporting
Show all practicesHide 4 practices
Reproducibility and dev environment (1)
data-raw/
CRAN release process (2)
cran-comments.mdrevdep/
Research and citation (2)
CITATION.cffcodemeta.json
Automation and maintenance (1)
pre-commit
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
33 external dependencies (excludes base and recommended)

Installing mikropml adds 75 packages (43 with compiled code, 61 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB. 4 more not on CRAN are not measured.

Depends (1)
R >= 4.1.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (10)
Author, Maintainer since 0.0.1 (2020)
Author
Contributor · added in 1.0.0
Contributor · added in 1.7.0
Contributor
Contributor · added in 1.1.0
Releases (16)

Pick two releases to compare their code metrics.

  • 1.7.1Latest
    record
    2026-08-28 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 1.7.0
    record
    2025-10-29 · diff ↗
  • 1.6.2
    record
    2025-08-22 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.6.1
    record
    2023-08-21 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 1.6.0
    record
    2023-04-15 · diff ↗ ·
    added 3 exports
    bootstrap_performance, calc_balanced_precision, calc_mean_perf
  • 1.5.0
    record
    2023-01-16 · diff ↗ ·
    added 6 exports
    calc_baseline_precision, calc_mean_prc, calc_mean_roc, calc_model_sensspec, plot_mean_prc, plot_mean_roc
  • 1.4.0
    record
    2022-10-16 · diff ↗
  • 1.3.0
    record
    2022-05-20 · diff ↗ ·
    added 2 exports
    compare_models, permute_p_value
  • R
    R 4.2.0 released · 2022-04-22
  • 1.2.2
    record
    2022-02-03 · diff ↗
  • 1.2.1
    record
    2022-01-30 · diff ↗
  • 1.2.0
    record
    2021-11-11 · diff ↗
Show 7 earlier eventsHide 7 earlier events
  • 1.1.1
    record
    2021-09-14 · diff ↗ ·
    removed 1 export
    get_corr_feats
    added 1 export
    group_correlated_features
  • 1.1.0
    record
    2021-08-10 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 1.0.0
    record
    2021-05-14 · diff ↗ ·
    added 2 exports
    remove_singleton_columns, replace_spaces
  • 0.0.2
    record
    2020-12-03 · diff ↗
  • 0.0.1
    record
    2020-11-23
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2020-11-23
Total releases
16 / 6 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.1.0
Bundled data
1.2 MB / 14 files
Download size
2.1 MB

Cite

Cite this package

Run in R for the authors' entry:

citation("mikropml")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.21105/joss.03073.

The repository also keeps a CITATION.cff.

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 mikropml version 1.7.1 [Data set]. HJJB, LLC. Data release v2026-10-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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