R Observatory: Metrics for mlearning version 1.2.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

mlearning

1.2.1

Machine Learning Algorithms with Unified Interface and Confusion Matrices

1packages depend

3.2Kdownloads / year

0.0%test coverage

13/13checks pass

Overview

About

Maintained by Philippe GrosjeanFirst published 2013-01-303 releasesCRAN page ↗GitHub ↗

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.

Install

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

install.packages("mlearning", 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("SciViews/mlearning")

Development version from SciViews/mlearning. 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-mlearning

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-mlearning

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-mlearning

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

Health

CRAN checks

13OK

Slowest check: 2.4 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.00

0.0%

Coverage · measured lines

100%

Documentation · exports

9

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

Documentation

READMENoVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 99%
Return-value docs: 100%
References docs: 0%

Downloads

3.2K

CRAN downloads in the past year

Rank #12,232 · ~9/day · ~269/mo

Releases R versions

Daily download trend is not available in this view yet.

21330 days

83090 days

3.2K1 year

Compare downloads with other packages →

Also on100 r2u25 autocran

Repository

GitHub ↗ sciviews/mlearning

0Stars

0Forks

1Open issues

0Open PRs

5Releases

35Commits

1Contributors

rmachine-learning

35 commits · Last activity 2025-10-13

Releases over time

2023-08-31 · 52026-07-07 · 5

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/sciviews/mlearning on 2026-08-23.

Continuous integration (1)

GitHub Actions

Docs source (1)

README.Rmd

Lint, format, editor (1)

RStudio project

Coverage (1)

Codecov

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

9 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.0.4

Imports (9)

statsgrDevicesclassnnetMASSe1071 randomForest ipredrpart

LinkingTo (0)

none

Suggests (7)

mlbenchdatasetsRColorBrewer spelling knitr rmarkdown covr

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

zooimage

Code & Tests

People & History

People (2)

Maintainer (1)

Philippe Grosjean

Author, Maintainer · added in 1.1.1

Authors (2)

Philippe Grosjean

Author, Maintainer · added in 1.1.1

Kevin Denis

Author · added in 1.1.1

Listed in earlier versions (1)

Ph. Grosjean & K. Denis

no longer listed · 1.0-0

Package Timeline

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

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
2023-08-30 · current release · diff ↗
R
R 4.3.0 released · 2023-04-21
1.1.1
2022-04-26 · diff ↗
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 events

1.0-0
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
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("mlearning")

Format

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 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 mlearning version 1.2.1 [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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