Package: NetSci 1.0.1
NetSci: Calculates Basic Network Measures Commonly Used in Network Medicine
Calculates network measures commonly used in Network Medicine. Measures such as the Largest Connected Component, the Relative Largest Connected Component, Proximity and Separation are calculated along with their statistical significance. Significance can be computed both using a degree-preserving randomization and non-degree preserving.
Authors:
NetSci_1.0.1.tar.gz
NetSci_1.0.1.zip(r-4.7)NetSci_1.0.1.zip(r-4.6)NetSci_1.0.1.zip(r-4.5)
NetSci_1.0.1.tgz(r-4.6-any)NetSci_1.0.1.tgz(r-4.5-any)
NetSci_1.0.1.tar.gz(r-4.6-any)
NetSci_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
NetSci/json (API)
| # Install 'NetSci' in R: |
| install.packages('NetSci', repos = c('https://deisygysi.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:ebebfb23a2. Checks:1 FAIL, 8 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | FAIL | 108 | ||
| source / vignettes | OK | 191 | ||
| linux-release-x86_64 | OK | 1455 | ||
| macos-release-arm64 | OK | 153 | ||
| macos-oldrel-arm64 | OK | 203 | ||
| windows-devel | OK | 79 | ||
| windows-release | OK | 77 | ||
| windows-oldrel | OK | 91 | ||
| wasm-release | OK | 817 |
Exports:avr_proximity_multiple_target_setsextract_LCCHistogram_LCCHypergeometric.testJaccardLCC_Significanceproximity_averageproximity_average_weightedproximity_closeseparationseparation_Significance
Dependencies:base64encbinrbslibcachemclicpp11cubaturedata.tabledigestdplyrevaluatefastmapfontawesomefsgenericsglueHiClimRhighrhtmltoolshtmlwidgetsigraphjquerylibjsonliteknitrlatticelifecyclemagrittrMatrixmemoisemimencdf4pillarpkgconfigplyrR6rappdirsRcppRcppArmadilloRcppParallelreshape2Rfastrlangrmarkdownsasssomstringistringrtibbletidyselecttinytexutf8vctrsvisNetworkwithrwTOxfunyamlzigg
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| avr_proximity_multiple_target_sets | avr_proximity_multiple_target_sets |
| Extract LCC from a graph | extract_LCC |
| Histogram_LCC | Histogram_LCC |
| Hypergeometric.test | Hypergeometric.test |
| Jaccard | Jaccard |
| LCC Significance | LCC_Significance |
| Global Definition | NetSci |
| Proximity from target to source | proximity_average |
| Proximity from target to source | proximity_average_weighted |
| Proximity from target to source | proximity_close |
| Separation | separation |
| Separation Significance | separation_Significance |
