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MCL

1.0

Markov Cluster Algorithm

1packages depend
11.3Kdownloads / year
test coverage
11/13checks pass

Overview

About
Maintained by Ronja ForaitaFirst published 2015-03-111 releasesCRAN page ↗

Contains the Markov cluster algorithm (MCL) for identifying clusters in networks and graphs. The algorithm simulates random walks on a (n x n) matrix as the adjacency matrix of a graph. It alternates an expansion step and an inflation step until an equilibrium state is reached.

Install

Health

CRAN checks
2NOTE11OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 1.3 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
1
Dependencies · direct
Check history
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
100%

Downloads

11.3K
CRAN downloads in the past year
Rank #4,299 · ~31/day · ~938/mo
Daily download trend is not available in this view yet.
57230 days
1.9K90 days
11.3K1 year
Compare downloads with other packages →
Also on115 r2u10 autocran1.7K conda_forge

Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)
Depends (1)
R >= 2.10.0
Imports (1)
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
1direct
0indirect

Code & Tests

People & History

People (0)

Author records are not tracked yet for this package.

Listed in earlier versions (1)
no longer listed · 1.0
Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2015-03-11
Total releases
1 / 11 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 2.10.0
Download size
3.4 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MCL")

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 MCL version 1.0 [Data set]. HJJB, LLC. Data release v2026-08-16. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-16, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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