R: Statistical Methods for Graphs

# Statistical Methods for Graphs

## Documentation for package ‘statGraph’ version 1.0.6

- DESCRIPTION file

## Help Pages

anogva | Analysis Of Graph Variability (ANOGVA)
GIC | Graph Information Criterion (GIC)
graph.acf | Autocorrelation Function Estimation for Graphs
graph.cem | Graph Clustering Expectation-Maximization (gCEM)
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
sp.anogva | Semi-parametric Analysis of Graph Variability (SP-ANOGVA)