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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: 1.3.1
Imports: cli, dplyr (≥ 0.8.5), igraph (≥ 2.0.0), lifecycle, magrittr, pillar, R6, rlang, stats, tibble, tidyr, tools, utils
LinkingTo: cpp11
Suggests: ape, covr, data.tree, graph, influenceR, methods, netrankr, NetSwan, network, seriation, testthat (≥ 3.0.0)
Published: 2024-01-30
Author: Thomas Lin Pedersen ORCID iD [cre, aut]
Maintainer: Thomas Lin Pedersen <thomasp85 at gmail.com>
BugReports: https://github.com/thomasp85/tidygraph/issues
License: MIT + file LICENSE
URL: https://tidygraph.data-imaginist.com, https://github.com/thomasp85/tidygraph
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: tidygraph results

Documentation:

Reference manual: tidygraph.pdf

Downloads:

Package source: tidygraph_1.3.1.tar.gz
Windows binaries: r-devel: tidygraph_1.3.1.zip, r-release: tidygraph_1.3.1.zip, r-oldrel: tidygraph_1.3.1.zip
macOS binaries: r-release (arm64): tidygraph_1.3.1.tgz, r-oldrel (arm64): tidygraph_1.3.1.tgz, r-release (x86_64): tidygraph_1.3.1.tgz, r-oldrel (x86_64): tidygraph_1.3.1.tgz
Old sources: tidygraph archive

Reverse dependencies:

Reverse depends: ceRNAnetsim, ggkegg, malan
Reverse imports: akc, bartMan, basket, chemodiv, CIMICE, CKMRpop, clustree, clustringr, DataFakeR, dce, dyngen, egor, eHDPrep, fastnet, fastRG, fobitools, GeNetIt, ggdag, ggraph, GISSB, imcRtools, manynet, miaViz, migraph, motifr, NetCoupler, NetFACS, numbat, pareg, particles, pathlinkR, pGRN, scholar, scistreer, scRepertoire, sfnetworks, timbr, TOP, vissE, whomds
Reverse suggests: amt, arulesViz, atrrr, correlation, dodgr, ecoCopula, edgebundle, FertNet, greed, industRial, inferCSN, isotracer, janitor, multinma, see, sfcr, sfdep, visNetwork, vsp

Linking:

Please use the canonical form https://CRAN.R-project.org/package=tidygraph to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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