motifr: Motif Analysis in Multi-Level Networks

Tools for motif analysis in multi-level networks. Multi-level networks combine multiple networks in one, e.g. social-ecological networks. Motifs are small configurations of nodes and edges (subgraphs) occurring in networks. 'motifr' can visualize multi-level networks, count multi-level network motifs and compare motif occurrences to baseline models. It also identifies contributions of existing or potential edges to motifs to find critical or missing edges. The package is in many parts an R wrapper for the excellent 'SESMotifAnalyser' 'Python' package written by Tim Seppelt.

Version: 1.0.0
Depends: R (≥ 3.5.0)
Imports: dplyr, ggplot2 (≥ 2.1.0), ggraph, igraph, intergraph, network, purrr, RColorBrewer, reshape2, reticulate, rlang, scales, tibble, tidygraph
Suggests: ergm, knitr, pkgdown, rmarkdown, shiny, testthat (≥ 2.1.0)
Published: 2020-12-10
Author: Mario Angst ORCID iD [aut, cre], Tim Seppelt ORCID iD [aut]
Maintainer: Mario Angst <mario.angst at gmail.com>
BugReports: https://github.com/marioangst/motifr/issues
License: MIT + file LICENSE
URL: https://marioangst.github.io/motifr/
NeedsCompilation: no
SystemRequirements: Python (>= 3.0.0), numpy, pandas
Language: en-GB
Materials: README NEWS
CRAN checks: motifr results

Downloads:

Reference manual: motifr.pdf
Vignettes: The motif zoo
Baseline model comparisons
Package source: motifr_1.0.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: motifr_1.0.0.zip
macOS binaries: r-release: motifr_1.0.0.tgz, r-oldrel: motifr_1.0.0.tgz

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