Package: igraph
Version: 1.0.1
Title: Network Analysis and Visualization
Author: See AUTHORS file.
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>
Description: 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.
Depends: methods
Imports: Matrix, magrittr, NMF, irlba
Suggests: igraphdata, stats4, rgl, tcltk, graph, ape, scales
License: GPL (>= 2)
URL: http://igraph.org
SystemRequirements: gmp, libxml2
BugReports: https://github.com/igraph/igraph/issues
Collate: 'adjacency.R' 'auto.R' 'assortativity.R' 'attributes.R'
        'basic.R' 'bipartite.R' 'centrality.R' 'centralization.R'
        'cliques.R' 'cocitation.R' 'cohesive.blocks.R' 'printr.R'
        'community.R' 'components.R' 'console.R' 'conversion.R'
        'data_frame.R' 'decomposition.R' 'degseq.R' 'demo.R'
        'embedding.R' 'epi.R' 'fit.R' 'flow.R' 'foreign.R' 'games.R'
        'glet.R' 'hrg.R' 'igraph-package.R' 'incidence.R' 'indexing.R'
        'interface.R' 'iterators.R' 'layout.R' 'layout_drl.R'
        'lazyeval.R' 'make.R' 'mgclust.R' 'minimum.spanning.tree.R'
        'motifs.R' 'nexus.R' 'operators.R' 'other.R' 'package.R'
        'palette.R' 'par.R' 'paths.R' 'plot.R' 'plot.common.R'
        'plot.shapes.R' 'pp.R' 'print.R' 'random_walk.R' 'rewire.R'
        'scan.R' 'scg.R' 'sgm.R' 'similarity.R' 'simple.R' 'sir.R'
        'socnet.R' 'sparsedf.R' 'structural.properties.R'
        'structure.info.R' 'test.R' 'tkplot.R' 'topology.R'
        'triangles.R' 'utils.R' 'uuid.R' 'versions.R' 'weakref.R'
        'zzz-deprecate.R'
NeedsCompilation: yes
Packaged: 2015-06-26 01:04:44 UTC; gaborcsardi
Repository: CRAN
Date/Publication: 2015-06-26 11:13:24
Built: R 3.4.1; x86_64-apple-darwin13.4.0; 2017-08-04 14:43:43 UTC; unix
