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
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oaqc.pdf |oaqc.html
oaqc/json (API)
NEWS

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

Peer review:

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

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

4.28 score 1 stars 19 scripts 771 downloads 1 exports 0 dependencies

Last updated 2 months agofrom:ef0117d7a7. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 03 2024
R-4.5-win-x86_64OKNov 03 2024
R-4.5-linux-x86_64OKNov 03 2024
R-4.4-win-x86_64OKNov 03 2024
R-4.4-mac-x86_64OKNov 03 2024
R-4.4-mac-aarch64OKNov 03 2024
R-4.3-win-x86_64OKNov 03 2024
R-4.3-mac-x86_64OKNov 03 2024
R-4.3-mac-aarch64OKNov 03 2024

Exports:oaqc

Dependencies:

Introduction to oaqc

Rendered fromoaqc.Rmdusingknitr::rmarkdownon Nov 03 2024.

Last update: 2024-09-24
Started: 2024-09-24