GIC                     Graph Information Criterion (GIC)
anogva                  ANOGVA Analysis Of Graph Variability
cerqueira               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                 Daniel Fraiman and Ricardo Fraiman test for
                        network differences between groups with an
                        analysis of variance test (ANOVA).
gCEM                    Clustering Expectation-Maximization for Graphs
                        (gCEM)
ghoshdastidar           Ghoshdastidar hypothesis testing for large
                        random graphs.
graph.acf               Auto Correlation Function Estimation for Graphs
graph.cluster           Hierarchical cluster analysis on a list of
                        graphs.
graph.cor.test          Test for Association / Correlation Between
                        Paired Samples of Graphs
graph.entropy           Graph spectral entropy
graph.model.selection   Graph model selection
graph.mult.scaling      Multidimensional scaling of graphs
graph.param.estimator   Graph parameter estimator
graph.test              Test for the Jensen-Shannon divergence between
                        graphs
kmeans.graph            K-means for Graphs
sp.anogva               Semi-Parametric Analysis Of Graph Variability
                        (ANOGVA)
statGraph-package       Statistical Methods for Graphs
tang                    Tang hypothesis testing for random graphs.
