MCL
1.0Markov Cluster Algorithm
1packages depend
11.3Kdownloads / year
–test coverage
11/13checks pass
Overview
About
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
- NOTE2026-03-1012 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
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
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.
- RR 4.6.0 released · 2026-04-24
- 1.0Latest2026-03-10 · current release
- RR 4.5.0 released · 2025-04-11
0 of 2 selectedCompare selected
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.
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.