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 to emphasize hidden group structures in networks or focus on specific nodes.

Version:	0.8.1
Depends:	R (≥ 3.2.0)
Imports:	igraph, Rcpp
LinkingTo:	Rcpp, RcppArmadillo
Suggests:	oaqc, testthat, ggraph, ggplot2, knitr, rmarkdown, uwot
Published:	2022-08-11
Author:	David Schoch [aut, cre]
Maintainer:	David Schoch <david at schochastics.net>
BugReports:	https://github.com/schochastics/graphlayouts/issues
License:	MIT + file LICENSE
URL:	http://graphlayouts.schochastics.net/, https://github.com/schochastics/graphlayouts
NeedsCompilation:	yes
Materials:	README NEWS
CRAN checks:	graphlayouts results

Documentation:

Reference manual:

graphlayouts.pdf

Downloads:

Package source:	graphlayouts_0.8.1.tar.gz
Windows binaries:	r-devel: graphlayouts_0.8.1.zip, r-release: graphlayouts_0.8.1.zip, r-oldrel: graphlayouts_0.8.1.zip
macOS binaries:	r-release (arm64): graphlayouts_0.8.1.tgz, r-oldrel (arm64): graphlayouts_0.8.1.tgz, r-release (x86_64): graphlayouts_0.8.1.tgz, r-oldrel (x86_64): graphlayouts_0.8.1.tgz
Old sources:	graphlayouts archive

Reverse dependencies:

Reverse imports:	ggraph, roughnet, snahelper
Reverse suggests:	deepdep, Platypus

Linking:

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