The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

bitriad: Triadic Analysis of Affiliation Networks

Two principal tools are provided for the triadic analysis of affiliation networks: triad census and triadic closure. These include several variations on both classical tools tailored to affiliation network structure; see Opsahl (2013) <doi:10.1016/j.socnet.2011.07.001>, Liebig and Rao (2014) <doi:10.1109/SITIS.2014.15>, and Brunson (2015) <doi:10.1017/nws.2015.38>. Additional functions support manipulation of affiliation networks. Built on 'igraph' with new C++ calculations exposed via 'Rcpp'.

Version: 0.4
Depends: R (≥ 3.5.0), igraph (≥ 1.1.2)
Imports: MASS, Rcpp (≥ 0.12.13)
LinkingTo: Rcpp
Suggests: knitr, testthat
Published: 2026-06-30
DOI: 10.32614/CRAN.package.bitriad (may not be active yet)
Author: Jason Cory Brunson [aut, cre]
Maintainer: Jason Cory Brunson <cornelioid at gmail.com>
License: GPL-2
URL: http://corybrunson.github.io/bitriad/
NeedsCompilation: yes
Classification/MSC: 05C82, 91D30
Materials: README, NEWS
CRAN checks: bitriad results

Documentation:

Reference manual: bitriad.html , bitriad.pdf
Vignettes: Triadic analysis of the southern women datasets (source, R code)

Downloads:

Package source: bitriad_0.4.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): bitriad_0.4.tgz, r-oldrel (arm64): bitriad_0.4.tgz, r-release (x86_64): not available, r-oldrel (x86_64): bitriad_0.4.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=bitriad to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.