R: Hypothesis Testing for Populations of Brain Networks

# Hypothesis Testing for Populations of Brain Networks

## Documentation for package ‘BrainNetTest’ version 0.2.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

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
identify_critical_links | Identify Critical Edges That Explain Population Differences
plot_critical_edges | Visualize Central Graphs and Critical Edges
rank_edges | Rank Edges Based on P-Values