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statGraph (version 1.0.6)

Statistical Methods for Graphs

Description

Contains statistical methods to analyze graphs, such as graph parameter estimation, model selection based on the Graph Information Criterion, statistical tests to discriminate two or more populations of graphs, correlation between graphs, and clustering of graphs. References: Takahashi et al. (2012) , Fujita et al. (2017) , Fujita et al. (2017) , Fujita et al. (2019) .

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Version

Install

install.packages('statGraph')

Monthly Downloads

171

Version

1.0.6

License

GPL (>= 3)

Maintainer

Andre Fujita

Last Published

September 1st, 2024

Functions in statGraph (1.0.6)

K-means for Graphs

Autocorrelation Function Estimation for Graphs

graph.mult.scaling

Multidimensional Scaling of Graphs

Distance Matrix on a List of Graphs

Test for Association / Correlation Between Paired Samples of Graphs

graph.spectral.density

Graph Spectral Density

Graph Spectral Entropy

graph.takahashi.test

Test for the Jensen-Shannon Divergence Between Graphs

graph.model.selection

Graph Model Selection

graph.param.estimator

Graph Parameter Estimator

Hierarchical Cluster Analysis on a List of Graphs

Graph Clustering Expectation-Maximization (gCEM)

Analysis Of Graph Variability (ANOGVA)

Semi-parametric Analysis of Graph Variability (SP-ANOGVA)

Graph Information Criterion (GIC)