R: Motif Analysis in Multi-Level Networks

# Motif Analysis in Multi-Level Networks

## Documentation for package ‘motifr’ version 1.0.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

compare_to_baseline | Compare motif occurence in empirical network to occurence in a baseline model
count_motifs | Count multi-level motifs
critical_dyads | List critical dyads
directed_dummy_net | Two-level directed network dummy example
dummy_net | Three-level network dummy example
edge_contribution | List edge contribution
exemplify_motif | Returns an example for a motif found in a given network
explore_motifs | Explore the motif zoo interactively in a shiny app
identify_gaps | List gaps
induced_level_subgraph | Returns subgraph induced by one level of the network
is.directed | Checks whether the given network is directed
large_directed_dummy_net | Large two-level directed network dummy example
list_motifs | Lists motifs of a given class or all motifs with a given signature
ml_net | Two-level network example (wetlands management)
motifs_distribution | Compute statistical properties (expectation and variance) of the distribution of motifs in a baseline model
motif_summary | Summary for motif counts and Erdős-Rényi distribution
plot_critical_dyads | Plot critical dyads in network visualisation
plot_gaps | Plot gaps in network visualisation
plot_gaps_or_critical_dyads | Helper function for plotting gaps and critical edges
plot_mnet | Visualize a multi-level network (using ggraph)
show_motif | Plots an example for a motif with given motif identifier string taken from the given graph.
simulate_baseline | Simulate a baseline baseline model
supported_classes | Lists all supported motif classes for a given signature
supported_signatures | Lists all supported signatures
tidygraph_dummy_net | Two-level tidygraph network example
to_py_graph | Translate multi-level statnet or igraph network object to Python networkx object
update_motifr | Checks for updates for motifr's Python core, the sma package