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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) doi:10.1371/journal.pone.0049949, Fujita et al. (2017) doi:10.3389/fnins.2017.00066, Fujita et al. (2017) doi:10.1016/j.csda.2016.11.016, Fujita et al. (2019) doi:10.1093/comnet/cnz028.
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