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.
| Version: | 1.0.1 |
| Imports: | igraph, magrittr, wTO, dplyr, Rfast, utils, binr, cubature |
| Suggests: | CoDiNA |
| Published: | 2024-10-14 |
| DOI: | 10.32614/CRAN.package.NetSci |
| Author: | Deisy Morselli Gysi [aut, cre] |
| Maintainer: | Deisy Morselli Gysi <deisy.gysi at ufpr.br> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | NetSci results |
| Reference manual: | NetSci.pdf |
| Package source: | NetSci_1.0.1.tar.gz |
| Windows binaries: | r-devel: NetSci_1.0.1.zip, r-release: NetSci_1.0.1.zip, r-oldrel: NetSci_1.0.1.zip |
| macOS binaries: | r-release (arm64): NetSci_1.0.1.tgz, r-oldrel (arm64): NetSci_1.0.1.tgz, r-release (x86_64): NetSci_1.0.1.tgz, r-oldrel (x86_64): NetSci_1.0.1.tgz |
| Old sources: | NetSci archive |
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