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 |