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: 0.1.0
Depends: R (≥ 3.4.0)
Imports: igraph, Rcpp, oaqc, gbp, scales
LinkingTo: Rcpp
Suggests: testthat, ggraph, ggplot2, knitr, rmarkdown
Published: 2019-04-05
Author: David Schoch [aut, cre]
Maintainer: David Schoch <david.schoch at manchester.ac.uk>
BugReports: https://github.com/schochastics/graphlayouts/issues
License: MIT + file LICENSE
URL: https://github.com/schochastics/graphlayouts
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: graphlayouts results

Downloads:

Reference manual: graphlayouts.pdf
Vignettes: Introduction to graphlayouts
Package source: graphlayouts_0.1.0.tar.gz
Windows binaries: r-devel: graphlayouts_0.1.0.zip, r-release: graphlayouts_0.1.0.zip, r-oldrel: graphlayouts_0.1.0.zip
OS X binaries: r-release: graphlayouts_0.1.0.tgz, r-oldrel: graphlayouts_0.1.0.tgz

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