Package: neighbourhoods 0.0.1.236

neighbourhoods: Efficient Identification of Neighbourhoods within Networks

Algorithm for efficient identification of neighbourhoods within networks.

Authors:Mark Padgham [aut, cre]

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neighbourhoods_0.0.1.236.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
neighbourhoods/json (API)

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

Bug tracker:https://github.com/atfutures-labs/neighbourhoods/issues

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

On CRAN:

Conda:

cpp

2.40 score 5 stars 1 scripts 6 exports 114 dependencies

Last updated from:df731cf273. Checks:13 ERROR, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64ERROR159
linux-devel-x86_64ERROR160
source / vignettesOK341
linux-release-arm64ERROR147
linux-release-x86_64ERROR172
macos-release-arm64ERROR149
macos-release-x86_64ERROR233
macos-oldrel-arm64ERROR96
macos-oldrel-x86_64ERROR270
windows-devel-arm64ERROR200
windows-devel-x86_64ERROR143
windows-release-arm64ERROR211
windows-release-x86_64ERROR111
windows-oldrel-x86_64ERROR98
wasm-releaseOK211

Exports:adjacent_cyclescut_nbsltn_trainneighbourhoodsnetwork_cyclesuncontract_cycles

Dependencies:abindaskpasscachemcallrcaretclassclassIntcliclockcodetoolscpp11crsmetacurldata.tableDBIdiagramdigestdodgrdplyre1071farverfastmapforeachfsfuturefuture.applygenericsgeodistggplot2globalsgluegowergtablehardhathttrhttr2ipredisobanditeratorsjsonliteKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmemoisemimeModelMetricsnlmennetnumDerivopensslosmdataotelparallellypbapplypillarpkgconfigplyrpROCprocessxprodlimprogressrPROJproxypspurrrR6randomForestrasterRColorBrewerRcppRcppParallelRcppThreadrecipesreprojreshape2rlangrpartrvests2S7scalessecretbaseselectrsfshapespsparsevctrsSQUAREMstarsstringistringrsurvivalsysterratibbletidyrtidyselecttimechangetimeDatetzdbunitsutf8vctrsviridisLitewithrwkxml2