graphlayouts: Additional Layout Algorithms for Network Visualizations

Several new layout algorithms to visualize networks are provided which are not part of 'igraph'. Most are based on the concept of stress majorization by Gansner et al. (2004) <doi:10.1007/978-3-540-31843-9_25>. Some more specific algorithms allow the user to emphasize hidden group structures in networks or focus on specific nodes.

Version: 1.2.2
Depends: R (≥ 3.6.0)
Imports: igraph (≥ 2.0.0), Rcpp
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat, ggplot2, uwot, oaqc
Published: 2025年01月23日
Author: David Schoch ORCID iD [aut, cre]
Maintainer: David Schoch <david at schochastics.net>
License: MIT + file LICENSE
NeedsCompilation: yes
Materials: README, NEWS
In views: NetworkAnalysis
CRAN checks: graphlayouts results

Documentation:

Reference manual: graphlayouts.html , graphlayouts.pdf

Downloads:

Windows binaries: r-devel: graphlayouts_1.2.2.zip, r-release: graphlayouts_1.2.2.zip, r-oldrel: graphlayouts_1.2.2.zip
macOS binaries: r-release (arm64): graphlayouts_1.2.2.tgz, r-oldrel (arm64): graphlayouts_1.2.2.tgz, r-release (x86_64): graphlayouts_1.2.2.tgz, r-oldrel (x86_64): graphlayouts_1.2.2.tgz

Reverse dependencies:

Reverse imports: CBNplot, ergm.sign, ggraph, roughnet, snahelper
Reverse suggests: autograph, deepdep

Linking:

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

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