Package: oaqc 2.0.0

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.

Authors:Mark Ortmann [aut], Felix Schoenenberger [aut], David Schoch [aut, cre]

oaqc_2.0.0.tar.gz
oaqc_2.0.0.zip(r-4.7-x86_64)oaqc_2.0.0.zip(r-4.7-arm64)oaqc_2.0.0.zip(r-4.6-x86_64)oaqc_2.0.0.zip(r-4.6-arm64)oaqc_2.0.0.zip(r-4.5-x86_64)
oaqc_2.0.0.tgz(r-4.6-x86_64)oaqc_2.0.0.tgz(r-4.6-arm64)oaqc_2.0.0.tgz(r-4.5-x86_64)oaqc_2.0.0.tgz(r-4.5-arm64)
oaqc_2.0.0.tar.gz(r-4.7-arm64)oaqc_2.0.0.tar.gz(r-4.7-x86_64)oaqc_2.0.0.tar.gz(r-4.6-arm64)oaqc_2.0.0.tar.gz(r-4.6-x86_64)
oaqc_2.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
oaqc/json (API)

# Install 'oaqc' in R:

install.packages('oaqc', repos = c('https://schochastics.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/schochastics/oaqc/issues

Uses libs:

c++– GNU Standard C++ Library v3

On CRAN:

cpp

4.14 score 1 stars 19 scripts 1.5k downloads 1 exports 0 dependencies

Last updated from:ef0117d7a7. Checks:15 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	83
linux-devel-x86_64	OK	106
source / vignettes	OK	190
linux-release-arm64	OK	82
linux-release-x86_64	OK	100
macos-release-arm64	OK	91
macos-release-x86_64	OK	244
macos-oldrel-arm64	OK	95
macos-oldrel-x86_64	OK	273
windows-devel-arm64	OK	210
windows-devel-x86_64	OK	189
windows-release-arm64	OK	168
windows-release-x86_64	OK	86
windows-oldrel-x86_64	OK	83
wasm-release	OK	73