Package: wdnet 1.2.4

wdnet: Weighted and Directed Networks

Assortativity coefficients, centrality measures, and clustering coefficients for weighted and directed networks. Rewiring unweighted networks with given assortativity coefficients. Generating general preferential attachment networks.

Authors:Yelie Yuan [aut, cre], Tiandong Wang [aut], Jun Yan [aut], Panpan Zhang [aut]

wdnet_1.2.4.tar.gz
wdnet_1.2.4.zip(r-4.7-x86_64)wdnet_1.2.4.zip(r-4.7-arm64)wdnet_1.2.4.zip(r-4.6-x86_64)wdnet_1.2.4.zip(r-4.6-arm64)wdnet_1.2.4.zip(r-4.5-x86_64)
wdnet_1.2.4.tgz(r-4.6-x86_64)wdnet_1.2.4.tgz(r-4.6-arm64)wdnet_1.2.4.tgz(r-4.5-x86_64)wdnet_1.2.4.tgz(r-4.5-arm64)
wdnet_1.2.4.tar.gz(r-4.7-arm64)wdnet_1.2.4.tar.gz(r-4.7-x86_64)wdnet_1.2.4.tar.gz(r-4.6-arm64)wdnet_1.2.4.tar.gz(r-4.6-x86_64)
wdnet_1.2.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
wdnet/json (API)

# Install 'wdnet' in R:

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

Bug tracker:https://gitlab.com/wdnetwork/wdnet

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3

On CRAN:

openblas cpp

3.18 score 8 scripts 431 downloads 17 exports 28 dependencies

Last updated from:306d5e27a5. Checks:13 WARNING, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	WARNING	188
linux-devel-x86_64	WARNING	240
source / vignettes	OK	221
linux-release-arm64	WARNING	196
linux-release-x86_64	WARNING	222
macos-release-arm64	WARNING	151
macos-release-x86_64	WARNING	291
macos-oldrel-arm64	WARNING	151
macos-oldrel-x86_64	WARNING	346
windows-devel-arm64	WARNING	273
windows-devel-x86_64	WARNING	238
windows-release-arm64	WARNING	303
windows-release-x86_64	WARNING	165
windows-oldrel-x86_64	WARNING	139
wasm-release	OK	155