statGraph: Statistical Methods for Graphs

Contains statistical methods to analyze graphs, such as graph parameter estimation, model selection based on the GIC (Graph Information Criterion), statistical tests to discriminate two or more populations of graphs (ANOGVA - Analysis of Graph Variability), correlation between graphs, and clustering of graphs. References: Takahashi et al. (2012) <doi:10.1371/journal.pone.0049949>, Futija et al. (2017) <doi:10.3389/fnins.2017.00066>, Fujita et al. (2017) <doi:10.1016/j.csda.2016.11.016>, Tang et al. (2017) <doi:10.3150/15-BEJ789>, Tang et al. (2017) <doi:10.1080/10618600.2016.1193505>, Ghoshdastidar et al. (2017) <arXiv:1705.06168>, Ghoshdastidar et al. (2017) <arXiv:1707.00833>, Cerqueira et al. (2017) <doi:10.1109/TNSE.2017.2674026>, Fraiman and Fraiman (2018) <doi:10.1038/s41598-018-23152-5>, Fujita et al. (2019) <doi:10.1093/comnet/cnz028>.

Package details

AuthorSuzana S. Santos [aut], Eduardo S. Lira [aut], Andre Fujita [aut, cre]
MaintainerAndre Fujita <[email protected]>
LicenseGPL (>= 3)
Version0.3.0
URL https://www.ime.usp.br/~fujita/software.html
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("statGraph")

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statGraph documentation built on Oct. 30, 2019, 9:47 a.m.