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>.
| Version: |
0.5.0 |
| Depends: |
R (≥ 3.6.0), stats, graphics |
| Imports: |
igraph, MASS, rARPACK, cluster, foreach, parallel, doParallel |
| Published: |
2021-05-19 |
| Author: |
Diogo R. da Costa [aut],
Taiane C. Ramos [aut],
Grover E. Castro Guzman [aut],
Suzana S. Santos [aut],
Eduardo S. Lira [aut],
Andre Fujita [aut, cre] |
| Maintainer: |
Andre Fujita <andrefujita at usp.br> |
| License: |
GPL (≥ 3) |
| URL: |
https://www.ime.usp.br/~fujita/software.html |
| NeedsCompilation: |
no |
| CRAN checks: |
statGraph results |
Documentation:
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