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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 Angst |
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 |
Reference manual: | motifr.pdf |
Vignettes: |
The motif zoo Baseline model comparisons |
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 |
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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.
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