robin: ROBustness in Network

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: 1.0.2
Depends: R (≥ 3.5), igraph, gprege, qpdf
Imports: ggplot2, networkD3, DescTools, fdatest, methods, gridExtra
Suggests: devtools, knitr, rmarkdown, testthat (≥ 2.1.0)
Published: 2020-10-30
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

Downloads:

Reference manual: robin.pdf
Vignettes: robin
Package source: robin_1.0.2.tar.gz
Windows binaries: r-devel: robin_1.0.2.zip, r-release: robin_1.0.2.zip, r-oldrel: robin_1.0.2.zip
macOS binaries: r-release: robin_1.0.2.tgz, r-oldrel: not available
Old sources: robin archive

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