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:Deisy Morselli Gysi [aut, cre]

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NetSci.pdf |NetSci.html
NetSci/json (API)

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

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.70 score 9 scripts 583 downloads 11 exports 60 dependencies

Last updated 1 months agofrom:ebebfb23a2. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 14 2024
R-4.5-winOKNov 14 2024
R-4.5-linuxOKNov 14 2024
R-4.4-winOKNov 14 2024
R-4.4-macOKNov 14 2024
R-4.3-winOKNov 14 2024
R-4.3-macOKNov 14 2024

Exports:avr_proximity_multiple_target_setsextract_LCCHistogram_LCCHypergeometric.testJaccardLCC_Significanceproximity_averageproximity_average_weightedproximity_closeseparationseparation_Significance

Dependencies:base64encbinrbslibcachemclicpp11cubaturedata.tabledigestdplyrevaluatefansifastmapfontawesomefsgenericsglueHiClimRhighrhtmltoolshtmlwidgetsigraphjquerylibjsonliteknitrlatticelifecyclemagrittrMatrixmemoisemimencdf4pillarpkgconfigplyrR6rappdirsRcppRcppArmadilloRcppGSLRcppParallelRcppZigguratreshape2Rfastrlangrmarkdownsasssomstringistringrtibbletidyselecttinytexutf8vctrsvisNetworkwithrwTOxfunyaml

Readme and manuals

Help Manual

Help pageTopics
avr_proximity_multiple_target_setsavr_proximity_multiple_target_sets
Extract LCC from a graphextract_LCC
Histogram_LCCHistogram_LCC
Hypergeometric.testHypergeometric.test
JaccardJaccard
LCC SignificanceLCC_Significance
Global DefinitionNetSci
Proximity from target to sourceproximity_average
Proximity from target to sourceproximity_average_weighted
Proximity from target to sourceproximity_close
Separationseparation
Separation Significanceseparation_Significance