The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
An R implementation for the Strain Elevation and Tension embedding algorithm from Bourne (2020) <doi:10.1007/s41109-020-00329-4>. The package embeds graphs and networks using the Strain Elevation and Tension embedding (SETSe) algorithm. SETSe represents the network as a physical system, where edges are elastic, and nodes exert a force either up or down based on node features. SETSe positions the nodes vertically such that the tension in the edges of a node is equal and opposite to the force it exerts for all nodes in the network. The resultant structure can then be analysed by looking at the node elevation and the edge strain and tension. This algorithm works on weighted and unweighted networks as well as networks with or without explicit node features. Edge elasticity can be created from existing edge weights or kept as a constant.
Version: | 0.5.0 |
Depends: | R (≥ 3.4.0) |
Imports: | dplyr, Matrix, rlang (≥ 0.1.2), igraph, purrr, tibble, minpack.lm, magrittr, methods, stats |
Suggests: | knitr, rmarkdown, tidyr, ggplot2, ggraph, roxygen2 |
Published: | 2021-06-11 |
DOI: | 10.32614/CRAN.package.rsetse |
Author: | Jonathan Bourne |
Maintainer: | Jonathan Bourne <jonathan.s.bourne at gmail.com> |
BugReports: | https://github.com/JonnoB/rSETSe/issues |
License: | GPL-3 |
URL: | https://github.com/JonnoB/rSETSe |
NeedsCompilation: | no |
Citation: | rsetse citation info |
Materials: | README NEWS |
CRAN checks: | rsetse results |
Reference manual: | rsetse.pdf |
Vignettes: |
Categorical and continuous feature embedding Analysing multiple networks |
Package source: | rsetse_0.5.0.tar.gz |
Windows binaries: | r-devel: rsetse_0.5.0.zip, r-release: rsetse_0.5.0.zip, r-oldrel: rsetse_0.5.0.zip |
macOS binaries: | r-release (arm64): rsetse_0.5.0.tgz, r-oldrel (arm64): rsetse_0.5.0.tgz, r-release (x86_64): rsetse_0.5.0.tgz, r-oldrel (x86_64): rsetse_0.5.0.tgz |
Old sources: | rsetse archive |
Please use the canonical form https://CRAN.R-project.org/package=rsetse 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.