compute_central_graph   Compute the Central (Representative) Graph for
                        a Population
compute_distance        Compute the Manhattan Norm Distance Between Two
                        Graphs
compute_edge_frequencies
                        Compute Edge Frequencies in Populations
compute_edge_pvalues    Compute P-Values for Edge Differences Between
                        Populations
compute_test_statistic
                        Compute the Test Statistic T for Brain Network
                        Populations
generate_category_graphs
                        Generate a Set of Graphs with Similar Community
                        Structures for a Category
generate_community_graph
                        Generate a Random Symmetric Adjacency Matrix
                        with Community Structure
generate_random_graph   Generate a Random Symmetric Adjacency Matrix
get_critical_nodes      Extract Critical Nodes from Critical Edge
                        Results
global_test             Permutation Test for Differences Between
                        Populations of Brain Networks
identify_critical_links
                        Identify Critical Edges That Explain Population
                        Differences
plot.critical_links     Plot a Critical-Edge Analysis
plot_critical_edges     Visualize Central Graphs and Critical Edges
print.critical_links    Print a Critical-Edge Analysis
print.global_test       Print a Global Test Result
print.summary.critical_links
                        Print a Critical-Edge Analysis Summary
rank_edges              Rank Edges Based on P-Values
summary.critical_links
                        Summarise a Critical-Edge Analysis
