Routines for simple graphs and network analysis. It can handle large graphs very well and provides functions for generating random and regular graphs, graph visualization, centrality methods and much more.
Version: | 1.0.1 |
Depends: | methods |
Imports: | Matrix, magrittr, NMF, irlba |
Suggests: | igraphdata, stats4, rgl, tcltk, graph, ape, scales |
Published: | 2015-06-26 |
Author: | See AUTHORS file. igraph author details |
Maintainer: | Gabor Csardi <csardi.gabor at gmail.com> |
BugReports: | https://github.com/igraph/igraph/issues |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | http://igraph.org |
NeedsCompilation: | yes |
SystemRequirements: | gmp, libxml2 |
Citation: | igraph citation info |
Materials: | README NEWS |
In views: | Graphics, Optimization, gR |
CRAN checks: | igraph results |
Reference manual: | igraph.pdf |
Package source: | igraph_1.0.1.tar.gz |
Windows binaries: | r-devel: igraph_1.0.1.zip, r-release: igraph_1.0.1.zip, r-oldrel: igraph_1.0.1.zip |
OS X Snow Leopard binaries: | r-release: igraph_1.0.1.tgz, r-oldrel: igraph_0.7.1.tgz |
OS X Mavericks binaries: | r-release: igraph_1.0.1.tgz |
Old sources: | igraph archive |