Package: wdnet 1.2.3

Yelie Yuan

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_1.2.3.tar.gz
wdnet_1.2.3.tar.gz(r-4.5-noble)wdnet_1.2.3.tar.gz(r-4.4-noble)
wdnet_1.2.3.tgz(r-4.4-emscripten)wdnet_1.2.3.tgz(r-4.3-emscripten)
wdnet.pdf |wdnet.html✨
wdnet/json (API)
NEWS

# Install 'wdnet' in R:
install.packages('wdnet', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

openblascpp

1.70 score 7 scripts 195 downloads 17 exports 27 dependencies

Last updated 10 months agofrom:0060b00d14. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 29 2024
R-4.5-linux-x86_64OKDec 29 2024

Exports:adj_to_wdnetassortcoefcentralityclustcoefcvxr_controldprewiredprewire.rangeedgelist_to_wdnetigraph_to_wdnetis_wdnetrpa_control_edgeweightrpa_control_newedgerpa_control_preferencerpa_control_reciprocalrpa_control_scenariorpanetwdnet_to_igraph

Dependencies:bitbit64clicpp11CVXRECOSolveRgluegmpigraphlatticelifecyclemagrittrMatrixosqppkgconfigR6rARPACKRcppRcppArmadilloRcppEigenRcppXPtrUtilsrlangRmpfrRSpectrascsvctrswdm