anogva | ANOGVA Analysis Of Graph Variability |
cerqueira.test | Andressa Cerqueira, Daniel Fraiman, Claudia D. Vargas and... |
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... |
ghoshdastidar.test | Ghoshdastidar hypothesis testing for large random graphs. |
GIC | Graph Information Criterion (GIC) |
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... |
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. |
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