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| statGraph-package | Statistical Methods for Graphs |
| 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. |
| GIC | Graph Information Criterion (GIC) |
| 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 | Statistical Methods for Graphs |
| tang | Tang hypothesis testing for random graphs. |