GIC                     Graph Information Criterion (GIC)
anogva                  ANOGVA Analysis Of Graph Variability
cerqueira.test          Andressa Cerqueira, Daniel Fraiman, Claudia D.
                        Vargas and Florencia Leonardi non-parametric
                        test of hypotheses to verify if two samples of
                        random graphs were originated from the same
                        probability distribution.
fast.eigenvalue.probability
                        Degree-based eigenvalue probability
fast.graph.param.estimator
                        Degree-based graph parameter estimator
fast.spectral.density   Degree-based spectral density
fraiman.test            Daniel Fraiman and Ricardo Fraiman test for
                        network differences between groups with an
                        analysis of variance test (ANOVA).
ghoshdastidar.test      Ghoshdastidar hypothesis testing for large
                        random graphs.
graph.acf               Auto Correlation Function Estimation for Graphs
graph.cem               Clustering Expectation-Maximization for Graphs
                        (graph.cem)
graph.cor.test          Test for Association / Correlation Between
                        Paired Samples of Graphs
graph.entropy           Graph spectral entropy
graph.hclust            Hierarchical cluster analysis on a list of
                        graphs.
graph.kmeans            K-means for Graphs
graph.model.selection   Graph model selection
graph.mult.scaling      Multidimensional scaling of graphs
graph.param.estimator   Graph parameter estimator
sp.anogva               Semi-Parametric Analysis Of Graph Variability
                        (ANOGVA)
statGraph-package       Statistical Methods for Graphs
takahashi.test          Test for the Jensen-Shannon divergence between
                        graphs
tang.test               Tang hypothesis testing for random graphs.
