Skip to content

mikropml

1.7.0

User-Friendly R Package for Supervised Machine Learning Pipelines

0packages depend
7.5Kdownloads / year
test coverage
6/13checks pass

Overview

About
Maintained by Kelly SovacoolFirst published 2020-11-2315 releasesCRAN page ↗GitHub ↗

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.

Install

Health

CRAN checks
2ERROR5NOTE6OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
  • NOTE r-devel-linux-x86_64-fedora-clang
  • NOTE r-devel-linux-x86_64-fedora-gcc
  • NOTE r-devel-windows-x86_64
  • ERROR r-oldrel-macos-arm64
  • ERROR r-oldrel-macos-x86_64
Slowest check: 13.9 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.73
not tracked
Coverage
97%
Documentation · exports
18
Dependencies · direct
Check history
  • ERROR2026-03-10
    8 OK · 3 NOTE · 0 WARNING · 3 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 511 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
26%
Documented parameters
100%
Return-value docs
94%
References docs
0%

Downloads

7.5K
CRAN downloads in the past year
Rank #6,006 · ~20/day · ~622/mo
Daily download trend is not available in this view yet.
34830 days
1.3K90 days
7.5K1 year
Compare downloads with other packages →
Also on188 r2u24 autocran2.5K conda_forge

Repository

Repository
65Stars
22Forks
10Open issues
3Open PRs
14Releases
2,569Commits
23Contributors
machine-learningr-packagerstats
2,569 commits · Last activity 2026-08-10 · -1.5% stars, 30d

Stars over time

2025-07-30 · 592026-08-10 · 65

Repository practices

Upstream repositoryBeta

10 development-tooling and community-health practices detected across 7 families in the upstream repository

Checks run against github.com/schlosslab/mikropml on 2026-08-23.

Continuous integration (1)
GitHub Actions
Reproducibility and dev environment (1)
data-raw/
CRAN release process (2)
cran-comments.mdrevdep/
Docs source (1)
README.Rmd
Show all practices
Research and citation (2)
CITATION.cffcodemeta.json
Automation and maintenance (1)
pre-commit
Governance and community (2)
Issue templatesSupport guide
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (10)
Maintainer (1)
Author, Maintainer
Authors (6)
Author, Maintainer
Author
Contributors (4)
Contributor · added in 1.0.0
Contributor · added in 1.7.0
Contributor
Contributor · added in 1.1.0
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 1.7.0Latest
    2025-10-29 · current release · diff ↗
  • 1.6.2
    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
    2023-08-21 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 1.6.0
    2023-04-15 · diff ↗
  • 1.5.0
    2023-01-16 · diff ↗
  • 1.4.0
    2022-10-16 · diff ↗
  • 1.3.0
    2022-05-20 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 1.2.2
    2022-02-03 · diff ↗
  • 1.2.1
    2022-01-30 · diff ↗
  • 1.2.0
    2021-11-11 · diff ↗
  • 1.1.1
    2021-09-14 · diff ↗
Show 6 earlier events
  • 1.1.0
    2021-08-10 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 1.0.0
    2021-05-14 · diff ↗
  • 0.0.2
    2020-12-03 · diff ↗
  • 0.0.1
    2020-11-23
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2020-11-23
Total releases
15 / 6 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.1.0
Bundled data
1.2 MB / 14 files
Download size
2.1 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("mikropml")

The authors publish a CITATION.cff, so they have said how they want this cited. Run citation() and use what it gives you.

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 1.7.0 [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.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy