Package: levelnet 0.5.0

levelnet: Methods to Analyze One-mode Projections of Two-mode Networks

Methods to analyze one-mode projections of two-mode networks. Focus lies on methods to determine significant edges.

Authors:David Schoch [aut, cre]

levelnet_0.5.0.tar.gz
levelnet_0.5.0.zip(r-4.7-x86_64)levelnet_0.5.0.zip(r-4.7-arm64)levelnet_0.5.0.zip(r-4.6-x86_64)levelnet_0.5.0.zip(r-4.6-arm64)levelnet_0.5.0.zip(r-4.5-x86_64)
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levelnet_0.5.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
levelnet/json (API)

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

Bug tracker:https://github.com/schochastics/levelnet/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

cpp

2.65 score 9 stars 2 scripts 19 exports 12 dependencies

Last updated from:775cf5e91b. Checks:13 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64WARNING125
linux-devel-x86_64WARNING118
source / vignettesOK175
linux-release-arm64WARNING122
linux-release-x86_64WARNING118
macos-release-arm64WARNING114
macos-release-x86_64WARNING227
macos-oldrel-arm64WARNING99
macos-oldrel-x86_64WARNING247
windows-devel-arm64WARNING198
windows-devel-x86_64WARNING128
windows-release-arm64WARNING229
windows-release-x86_64WARNING97
windows-oldrel-x86_64WARNING75
wasm-releaseOK111

Exports:bipartite_from_data_frameclique_vertex_matdisparsity_filterfiedler_orderfsdsmgraph_indifferencegraph_intervalgraph_random_votegraph_rectanglegraph_toleranceis_bipartite1is_intervallaplacian_vectorslazarus_countmultiLexBFSperm2boxsdsm_diagnosticsdsm_probsuperbox_graph

Dependencies:clicpp11glueigraphlatticelifecyclemagrittrMatrixpkgconfigRcpprlangvctrs