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blockmodeling

1.1.8

Generalized and Classical Blockmodeling of Valued Networks

5packages depend
21.2Kdownloads / year
18.9%test coverage
13/13checks pass

Overview

About
Maintained by Aleš ŽibernaFirst published 2008-11-1714 releasesCRAN page ↗

This is primarily meant as an implementation of generalized blockmodeling for valued networks. In addition, measures of similarity or dissimilarity based on structural equivalence and regular equivalence (REGE algorithms) can be computed and partitioned matrices can be plotted: Žiberna (2007)doi:10.1016/j.socnet.2006.04.002, Žiberna (2008)doi:10.1080/00222500701790207, Žiberna (2014)doi:10.1016/j.socnet.2014.04.002.

Install

Health

CRAN checks
13OK
Slowest check: 3.0 min · r-release-macos-x86_64
Code health
Yes
Tests · ratio 0.01
18.9%
Coverage · measured lines
100%
Documentation · exports
4
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

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
98%
Return-value docs
100%
References docs
46%

Downloads

21.2K
CRAN downloads in the past year
Rank #3,648 · ~58/day · ~1.8K/mo
Daily download trend is not available in this view yet.
77030 days
2.7K90 days
21.2K1 year
Compare downloads with other packages →
Also on516 r2u31 autocran38.2K conda_forge271 bioconda14 c2d4u

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)
Depends (1)
R >= 2.10
Imports (4)
statsmethodsMatrixparallel
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
5direct
0indirect

Code & Tests

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Contributors (1)
Contributor · added in 1.1.4
Listed in earlier versions (1)
no longer listed · 0.1.7 to 0.1.9
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 1.1.8Latest
    2025-07-25 · current release · diff ↗
  • 1.1.7
    2025-07-24 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.1.5
    2023-08-23 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 1.1.4
    2022-11-22 · diff ↗
  • 1.1.3
    2022-09-01 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 1.0.5
    2021-09-03 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 1.0.0
    2020-07-01 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 0.3.6
    2020-02-15 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
Show 20 earlier events
  • 0.3.4
    2019-01-08 · diff ↗
  • 0.3.1
    2018-06-05 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 0.3.0
    2018-04-11 · diff ↗
  • 0.1.9
    2017-07-03 · diff ↗
  • 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
  • R
    R 2.15.0 released · 2012-03-30
  • R
    R 2.14.0 released · 2011-10-31
  • R
    R 2.13.0 released · 2011-04-13
  • R
    R 2.12.0 released · 2010-10-15
  • R
    R 2.11.0 released · 2010-04-22
  • 0.1.8
    2010-01-13 · diff ↗
  • R
    R 2.10.0 released · 2009-10-26
  • R
    R 2.9.0 released · 2009-04-17
  • 0.1.7
    2008-11-17
  • R
    R 2.8.0 released · 2008-10-20

Package metadata

First published
2008-11-17
Total releases
14 / 18 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 2.10
Bundled data
0.7 KB / 2 files
Download size
121 KB
Installed size
not tracked yet
With dependencies
not tracked yet
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("blockmodeling")
Žiberna, A., & Cugmas, M. (2025). blockmodeling: Generalized and Classical Blockmodeling of Valued Networks (Version 1.1.8) [Computer software]. https://doi.org/10.32614/CRAN.package.blockmodeling

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for blockmodeling version 1.1.8 [Data set]. HJJB, LLC. Data release v2026-08-11. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-11, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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