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mlearning

1.2.1Package record

Machine Learning Algorithms with Unified Interface and Confusion Matrices

1packages depend
3.3Kdownloads / year
0.0%test coverage
13/13flavors OK

Overview

About

A unified interface is provided to various machine learning algorithms like linear or quadratic discriminant analysis, k-nearest neighbors, random forest, support vector machine, ... It allows to train, test, and apply cross-validation using similar functions and function arguments with a minimalist and clean, formula-based interface. Missing data are processed the same way as base and stats R functions for all algorithms, both in training and testing. Confusion matrices are also provided with a rich set of metrics calculated and a few specific plots.

Changes in 1.2.1
  • Documentation is refactored using Roxygen2 and considerably enhanced.
  • All camelCase function names now have their equivalence in snake_case, e.g., mlRforest -\> ml_rforest(), or confusionImage() -\> confusion_image() in order to adapt to the coding preferences of the user.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 2.3 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.2.1
README· In the repository, left out of the releaseVignettesNoNEWSYes · 100% structured · mentions 1.2.1Citation fileNoWebsiteYes · pkgdown
Help pages
16includes a package overview page
Examples that run
100%15 run in a plain check
Exported functions with examples
100%
Documented parameters
99%
Return-value docs
100%
Help pages citing references
0%

Downloads

3.3K
CRAN downloads in the past year
Rank #12,088 · ~9/day · ~273/mo
Daily download trend is not available in this view yet.
30030 days
91690 days
3.3K1 year
Compare downloads with other packages →
Also on69 r2u5 autocran

Repository

0Stars
0Forks
1Open issues
0Open PRs
5Releases
35Commits
1Commit identities
rmachine-learning
35 commits · Last activity 2025-10-13 · Default branch at 1.2.2, ahead of CRAN 1.2.1 (checked 2026-10-22)
Responsiveness
not measured

Releases over time

2023-08-31 · 52026-07-07 · 5
PracticesBeta

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

Checks run against github.com/sciviews/mlearning on 2026-10-22.

Continuous integration (2)
GitHub ActionsR CMD check workflow

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

Governance and community (1)
Code of conduct
Docs source (4)
README.Rmdpkgdown

GitHub Pages site last deployed 2025-10-13 · The repository has a site deploy workflow

pkgdown site last built 2025-10-13

Coverage (1)
Coverage reporting (Codecov)
Show all practicesHide 1 practice
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
9 external dependencies (excludes base and recommended)

Installing mlearning adds 36 packages (16 with compiled code, 26 MB of source tarballs). Heaviest: ggplot2 6.0 MB, data.table 5.7 MB, Rcpp 1.8 MB.

Depends (1)
R >= 3.0.4
Imports (9)
statsgrDevicesclassnnetMASSe1071randomForestipredrpart
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
1direct
0indirect
Depends 1
Depends, Imports or LinkingTo, most downloaded first

People & History

People (2)
Author, Maintainer · added in 1.1.1
Author · added in 1.1.1

Maintainer since 1.0-0 (2012)

Listed in earlier versions (2)
K. Denis
no longer listed · 1.0-0
Ph. Grosjean
no longer listed · 1.0-0
Releases (3)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.2.1Latest
    record
    2023-08-30 · current release · diff ↗ ·
    removed 1 export
    summary.lvq
    added 14 exports
    confusion_barplot, confusion_dendrogram, confusion_image, confusion_stars, mlRpart, ml_knn, ml_lda, ml_lvq, ml_naive_bayes, ml_nnet, ml_qda, ml_rforest, ml_rpart, ml_svm
  • R
    R 4.3.0 released · 2023-04-21
  • 1.1.1
    record
    2022-04-26 · diff ↗ ·
    added 1 export
    mlKnn
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • R
    R 3.2.0 released · 2015-04-16
  • R
    R 3.1.0 released · 2014-04-10
  • R
    R 3.0.0 released · 2013-04-03
Show 2 earlier eventsHide 2 earlier events
  • 1.0-0
    record
    2013-01-30
  • R
    R 2.15.0 released · 2012-03-30

Package metadata

First published
2013-01-30
Total releases
3 / 13 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.0.4
Download size
52 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("mlearning")
Grosjean, P., & Denis, K. (2023). mlearning: Machine Learning Algorithms with Unified Interface and Confusion Matrices (Version 1.2.1) [Computer software]. https://doi.org/10.32614/CRAN.package.mlearning

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 mlearning version 1.2.1 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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