| 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 |