tidygraph: A Tidy API for Graph Manipulation

A graph, while not "tidy" in itself, can be thought of as two tidy data frames describing node and edge data respectively. 'tidygraph' provides an approach to manipulate these two virtual data frames using the API defined in the 'dplyr' package, as well as provides tidy interfaces to a lot of common graph algorithms.

Version: 1.1.1
Imports: tibble, dplyr (≥ 0.7), igraph, magrittr, utils, rlang, R6, Rcpp, tools, stats, tidyr, pillar
LinkingTo: Rcpp
Suggests: network, data.tree, ape, graph, methods, testthat, covr, seriation, netrankr, influenceR, NetSwan
Published: 2018-11-20
Author: Thomas Lin Pedersen [cre, aut]
Maintainer: Thomas Lin Pedersen <thomasp85 at gmail.com>
BugReports: https://github.com/thomasp85/tidygraph/issues
License: MIT + file LICENSE
URL: https://github.com/thomasp85/tidygraph
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: tidygraph results

Downloads:

Reference manual: tidygraph.pdf
Package source: tidygraph_1.1.1.tar.gz
Windows binaries: r-devel: tidygraph_1.1.1.zip, r-release: tidygraph_1.1.1.zip, r-oldrel: tidygraph_1.1.1.zip
OS X binaries: r-release: tidygraph_1.1.1.tgz, r-oldrel: tidygraph_1.1.1.tgz
Old sources: tidygraph archive

Reverse dependencies:

Reverse imports: clustree, fastnet, ggdag, particles, scholar, stminsights
Reverse suggests: pmatch

Linking:

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