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motifr
View on CRAN: Click
here
Download and install motifr package within the R console
Install from CRAN:
install.packages("motifr")
Install from Github:
library("remotes")
install_github("cran/motifr")
Install by package version:
library("remotes")
install_version("motifr", "1.0.0")
Attach the package and use:
library("motifr")
Maintained by
Mario Angst
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-12-10
Latest Update: 2020-12-10
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.
How to cite:
Mario Angst (2020). motifr: Motif Analysis in Multi-Level Networks. R package version 1.0.0, https://cran.r-project.org/web/packages/motifr. Accessed 04 Jan. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited motifr R package
View motifr citation profile
Other R packages that motifr depends,
imports, suggests or enhances
Complete documentation for motifr
Functions, R codes and Examples using
the motifr R package
Some associated functions: compare_to_baseline . count_motifs . critical_dyads . directed_dummy_net . dummy_net . edge_contribution . exemplify_motif . explore_motifs . identify_gaps . induced_level_subgraph . is.directed . large_directed_dummy_net . list_motifs . ml_net . motif_summary . motifs_distribution . plot_critical_dyads . plot_gaps . plot_gaps_or_critical_dyads . plot_mnet . show_motif . simulate_baseline . supported_classes . supported_signatures . tidygraph_dummy_net . to_py_graph . update_motifr .
Some associated R codes: core.R . count_motifs.R . data.R . gaps_critical_edges.R . load_python.R . motif_zoo.R . visualize_mnet.R . Full motifr package functions and examples
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