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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
DOI:10.32614/CRAN.package.motifr
Author:Mario AngstORCID iD [aut, cre], Tim SeppeltORCID iD [aut]
Maintainer:Mario Angst <mario.angst at gmail.com>
BugReports:https://github.com/marioangst/motifr/issues
License:MIT + fileLICENSE
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

Documentation:

Reference manual:motifr.html ,motifr.pdf
Vignettes:The motif zoo (source)
Baseline model comparisons (source)

Downloads:

Package source: motifr_1.0.0.tar.gz
Windows binaries: r-devel:motifr_1.0.0.zip, r-release:motifr_1.0.0.zip, r-oldrel:motifr_1.0.0.zip
macOS binaries: r-release (arm64):motifr_1.0.0.tgz, r-oldrel (arm64):motifr_1.0.0.tgz, r-release (x86_64):motifr_1.0.0.tgz, r-oldrel (x86_64):motifr_1.0.0.tgz

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=motifrto link to this page.


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