robin: ROBustness in Network

In network analysis, many community detection algorithms have been developed. However, their applications leave unaddressed one important question: the statistical validation of the results. robin (ROBustness In Network) is an R package for the validation of community detection. It has a double aim: to study the robustness of a community detection algorithm and to compare the robustness of different community detection algorithms on the same network. Reference in Annamaria Carissimo, Luisa Cutillo, Italia De Feis (2018) <doi:10.1016/j.csda.2017.10.006>.

Version: 1.0.0
Depends: R (≥ 3.5), igraph, gprege
Imports: ggplot2, networkD3, DescTools, fdatest, methods
Suggests: devtools, cowplot, knitr, rmarkdown, testthat (≥ 2.1.0)
Published: 2020-02-17
Author: Valeria Policastro [aut, cre]
Maintainer: Valeria Policastro <valeria.policastro at gmail.com>
License: MIT + file LICENSE
URL: https://github.com/ValeriaPolicastro/robin
NeedsCompilation: no
Materials: NEWS
CRAN checks: robin results

Downloads:

Reference manual: robin.pdf
Vignettes: robin
Package source: robin_1.0.0.tar.gz
Windows binaries: r-devel: robin_0.99.1.zip, r-devel-gcc8: robin_1.0.0.zip, r-release: robin_1.0.0.zip, r-oldrel: robin_1.0.0.zip
OS X binaries: r-release: not available, r-oldrel: not available
Old sources: robin archive

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