Package: motifr Title: Motif Analysis in Multi-Level Networks Version: 1.0.0 Date: 2020-12-01 Authors@R: c(person(given = "Mario", family = "Angst", role = c("aut", "cre"), email = "mario.angst@gmail.com", comment = c(ORCID = "0000-0002-8297-9827")), person(given = "Tim", family = "Seppelt", role = "aut", email = "seppelt@cs.rwth-aachen.de", comment = c(ORCID = "0000-0002-6447-0568"))) Description: 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. License: MIT + file LICENSE URL: https://marioangst.github.io/motifr/ BugReports: https://github.com/marioangst/motifr/issues Depends: R (>= 3.5.0) Imports: dplyr, ggplot2 (>= 2.1.0), ggraph, igraph, intergraph, network, purrr, RColorBrewer, reshape2, reticulate, rlang, scales, tibble, tidygraph, shiny Suggests: ergm, knitr, pkgdown, rmarkdown, testthat (>= 2.1.0) VignetteBuilder: knitr Config/reticulate: list( packages = list( list(package = "sma", pip = TRUE), list(package = "networkx", pip = TRUE) ) ) Encoding: UTF-8 Language: en-GB LazyData: true RoxygenNote: 7.1.1 SystemRequirements: Python (>= 3.0.0), numpy, pandas Config/pak/sysreqs: cmake libfontconfig1-dev libfreetype6-dev libglpk-dev make libicu-dev libpng-dev libuv1-dev libxml2-dev python3 zlib1g-dev Repository: https://marioangst.r-universe.dev Date/Publication: 2021-05-24 14:32:42 UTC RemoteUrl: https://github.com/marioangst/motifr RemoteRef: HEAD RemoteSha: 5c7b65acfc2322d0d38cee91653c96155db739e7 NeedsCompilation: no Packaged: 2026-07-12 09:33:39 UTC; root Author: Mario Angst [aut, cre] (ORCID: ), Tim Seppelt [aut] (ORCID: ) Maintainer: Mario Angst