Statistical Methods for Graphs
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Documentation for package ‘statGraph’ version 1.0.0
Help Pages
| anogva | ANOGVA Analysis Of Graph Variability |
| 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 Graphs |
| graph.dist | Distance matrix on a list 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 |
| graph.spectral.density | Graph spectral density |
| graph.takahashi.test | Test for the Jensen-Shannon divergence between graphs |
| graph.tang.test | Tang hypothesis testing for random graphs. |
| sp.anogva | Semi-Parametric Analysis Of Graph Variability (ANOGVA) |