compare_to_baseline | Compare motif occurence in empirical network to occurence in... |
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... |
ml_net | Two-level network example (wetlands management) |
motifs_distribution | Compute statistical properties (expectation and variance) of... |
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... |
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... |
update_motifr | Checks for updates for motifr's Python core, the sma package |
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