Package: disparityfilter 2.2.0

disparityfilter: Disparity Filter Algorithm for Weighted Networks

The disparity filter algorithm is a network reduction technique to identify the 'backbone' structure of a weighted network without destroying its multi-scale nature. The algorithm was developed by M. Angeles Serrano, Marian Boguna and Alessandro Vespignani in "Extracting the multiscale backbone of complex weighted networks", Proceedings of the National Academy of Sciences 106 (16), 2009. This implementation of the algorithm supports both directed and undirected networks.

Authors:Alessandro Bessi [aut, cre], Francois Briatte [aut]

disparityfilter_2.2.0.tar.gz
disparityfilter_2.2.0.zip(r-4.7)disparityfilter_2.2.0.zip(r-4.6)disparityfilter_2.2.0.zip(r-4.5)
disparityfilter_2.2.0.tgz(r-4.6-any)disparityfilter_2.2.0.tgz(r-4.5-any)
disparityfilter_2.2.0.tar.gz(r-4.7-any)disparityfilter_2.2.0.tar.gz(r-4.6-any)
disparityfilter_2.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
disparityfilter/json (API)

# Install 'disparityfilter' in R:

install.packages('disparityfilter', repos = c('https://alessandrobessi.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/alessandrobessi/disparityfilter/issues

On CRAN:

4.18 score 10 stars 15 scripts 34 downloads 2 mentions 1 exports 11 dependencies

Last updated from:dc169891df. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	111
source / vignettes	OK	153
linux-release-x86_64	OK	119
macos-release-arm64	OK	121
macos-oldrel-arm64	OK	171
windows-devel	OK	60
windows-release	OK	75
windows-oldrel	OK	66
wasm-release	OK	91