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oaqc: Computation of the Orbit-Aware Quad Census

Implements the efficient algorithm by Ortmann and Brandes (2017) <doi:10.1007/s41109-017-0027-2> to compute the orbit-aware frequency distribution of induced and non-induced quads, i.e. subgraphs of size four. Given an edge matrix, data frame, or a graph object (e.g., 'igraph'), the orbit-aware counts are computed respective each of the edges and nodes.

Version: 2.0.0
Depends: R (≥ 3.4)
Suggests: igraph, knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2024-10-07
DOI: 10.32614/CRAN.package.oaqc
Author: Mark Ortmann [aut], Felix Schoenenberger [aut], David Schoch ORCID iD [aut, cre]
Maintainer: David Schoch <david at schochastics.net>
BugReports: https://github.com/schochastics/oaqc/issues
License: GPL (≥ 3)
URL: https://github.com/schochastics/oaqc
NeedsCompilation: yes
Citation: oaqc citation info
Materials: README NEWS
CRAN checks: oaqc results

Documentation:

Reference manual: oaqc.pdf
Vignettes: oaqc (source, R code)

Downloads:

Package source: oaqc_2.0.0.tar.gz
Windows binaries: r-devel: oaqc_2.0.0.zip, r-release: oaqc_2.0.0.zip, r-oldrel: oaqc_2.0.0.zip
macOS binaries: r-release (arm64): oaqc_2.0.0.tgz, r-oldrel (arm64): oaqc_2.0.0.tgz, r-release (x86_64): oaqc_2.0.0.tgz, r-oldrel (x86_64): oaqc_2.0.0.tgz
Old sources: oaqc archive

Reverse dependencies:

Reverse suggests: graphlayouts

Linking:

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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.