| 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 Erdos-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 |