Assesses the robustness of the community structure of a network found by one or more community detection algorithm to give indications about their reliability. It detects if the community structure found by a set of algorithms is statistically significant and compares the different selected detection algorithms on the same network. robin helps to choose among different community detection algorithms the one that better fits the network of interest. Reference in Annamaria Carissimo, Luisa Cutillo, Italia De Feis (2018) <doi:10.1016/j.csda.2017.10.006>.
Version: | 1.0.1 |
Depends: | R (≥ 3.5), igraph, gprege |
Imports: | ggplot2, networkD3, DescTools, fdatest, methods |
Suggests: | devtools, cowplot, knitr, rmarkdown, testthat (≥ 2.1.0) |
Published: | 2020-05-18 |
Author: | Valeria Policastro [aut, cre], Dario Righelli [aut], Luisa Cutillo [aut], Italia De Feis [aut], Annamaria Carissimo [aut] |
Maintainer: | Valeria Policastro <valeria.policastro at gmail.com> |
License: | MIT + file LICENSE |
URL: | https://github.com/ValeriaPolicastro/robin |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | robin results |
Reference manual: | robin.pdf |
Vignettes: |
robin |
Package source: | robin_1.0.1.tar.gz |
Windows binaries: | r-devel: robin_1.0.1.zip, r-release: robin_1.0.1.zip, r-oldrel: robin_1.0.1.zip |
macOS binaries: | r-release: robin_1.0.1.tgz, r-oldrel: not available |
Old sources: | robin archive |
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