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NetSci

Calculates Basic Network Measures Commonly Used in Network Medicine

v1.0.1 · Oct 14, 2024 · GPL-2

Description

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.

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14 OK
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r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies igraph magrittr wTO dplyr Rfast binr cubature NetSci

Version History

new 1.0.1 Mar 10, 2026
updated 1.0.1 ← 1.0.0 diff Oct 13, 2024
updated 1.0.0 ← 0.1.2 diff Jul 2, 2022
updated 0.1.2 ← 0.1.1 diff Dec 1, 2021
updated 0.1.1 ← 0.1.0 diff Aug 2, 2021
new 0.1.0 Feb 4, 2021