R Observatory: Metrics for aricode version 1.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

aricode

1.1.0

Efficient Computations of Standard Clustering Comparison Measures

12packages depend

52.1Kdownloads / year

81.6%test coverage

13/13checks pass

Overview

About

Maintained by Julien ChiquetFirst published 2018-05-027 releasesCRAN page ↗GitHub ↗

Implements an efficient O(n) algorithm based on bucket-sorting for fast computation of standard clustering comparison measures. Available measures include adjusted Rand index (ARI), normalized information distance (NID), normalized mutual information (NMI), normalized variation information (NVI) and entropy, as described in Vinh et al (2009) doi:10.1145/1553374.1553511. Include AMI (Adjusted Mutual Information) since version 0.1.2, a modified version of ARI (MARI), as described in Sundqvist et al. doi:10.1007/s00180-022-01230-7 and simple Chi-square distance since version 1.0.0.

Install

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

install.packages("aricode", 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("jchiquet/aricode")

Development version from jchiquet/aricode. 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-aricode

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-aricode

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-aricode

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

Health

CRAN checks

13OK

Slowest check: 3.1 min · r-devel-windows-x86_64

Code health

Yes

Tests · ratio 0.52

81.6%

Coverage · measured lines

100%

Documentation · exports

3

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
OK2026-04-22
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-18
13 OK · 0 NOTE · 0 WARNING · 1 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: 80%
Return-value docs: 80%
References docs: 19%

Downloads

52.1K

CRAN downloads in the past year

Rank #1,601 · ~143/day · ~4.3K/mo

Releases R versions

Daily download trend is not available in this view yet.

5.7K30 days

16.1K90 days

52.1K1 year

Compare downloads with other packages →

Also on838 r2u29 autocran3.9K conda_forge54 c2d4u

Repository

GitHub ↗ jchiquet/aricode

28Stars

3Forks

0Open issues

0Open PRs

5Releases

137Commits

8Contributors

clustering-comparison-measuresclusteringbucket-sort

137 commits · Last activity 2026-05-18 · 0% stars, 30d

Stars over time

2025-05-22 · 262026-07-07 · 28

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/jchiquet/aricode on 2026-08-09.

Continuous integration (1)

GitHub Actions

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Docs source (1)

README.qmd

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

8 external dependencies (excludes base and recommended)

Depends (0)

none

Imports (3)

MatrixRcpp lifecycle

LinkingTo (1)

Rcpp

Suggests (5)

testthat spelling mclust ggplot2 pkgdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

12direct

4indirect

GREMLINS JANE MCseqReplic SISIR clustAnalytics l1spectral manydist FCPS FisherEM TextAnalysisR missSBM sbm

Code & Tests

People & History

People (5)

Maintainer (1)

Julien Chiquet

Author, Maintainer

Authors (3)

Julien Chiquet

Author, Maintainer

Guillem Rigaill

Author

Martina Sundqvist

Author · added in 1.0.0

Contributors (2)

Florent Bersani

Contributor · added in 1.0.2

Valentin Dervieux

Contributor

Package Timeline

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

1.1.0Latest
2026-05-13 · current release · diff ↗
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
1.0.3
2023-10-20 · diff ↗
R
R 4.3.0 released · 2023-04-21
1.0.2
2022-12-14 · diff ↗
1.0.1
2022-09-05 · diff ↗
1.0.0
2022-09-04 · 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
0.1.2
2019-06-29 · diff ↗
R
R 3.6.0 released · 2019-04-26
0.1.1
2018-05-02
R
R 3.5.0 released · 2018-04-23

Package metadata

First published: 2018-05-02
Total releases: 7 / 8 yrs
License: GPL (>= 3) OSI
Download size: 12 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("aricode")

Format

Chiquet, J., Bersani, F., Dervieux, V., Rigaill, G., & Sundqvist, M. (2026). aricode: Efficient Computations of Standard Clustering Comparison Measures (Version 1.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.aricode

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 aricode version 1.1.0 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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