Other packages > Find by keyword >

rsetse  

Strain Elevation Tension Spring Embedding
View on CRAN: Click here


Download and install rsetse package within the R console
Install from CRAN:
install.packages("rsetse")

Install from Github:
library("remotes")
install_github("cran/rsetse")

Install by package version:
library("remotes")
install_version("rsetse", "0.5.0")



Attach the package and use:
library("rsetse")
Maintained by
Jonathan Bourne
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-11-12
Latest Update: 2021-06-11
Description:
An R implementation for the Strain Elevation and Tension embedding algorithm from Bourne (2020) . 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.
How to cite:
Jonathan Bourne (2020). rsetse: Strain Elevation Tension Spring Embedding. R package version 0.5.0, https://cran.r-project.org/web/packages/rsetse. Accessed 04 Jun. 2026.
Previous versions and publish date:
0.4.0 (2020-11-12 10:30), 0.5.0 (2021-06-11 12:00)
Other packages that cited rsetse R package
View rsetse citation profile
Other R packages that rsetse depends, imports, suggests or enhances
Complete documentation for rsetse
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

shinybusy  
Busy Indicators and Notifications for 'Shiny' Applications
Add indicators (spinner, progress bar, gif) in your 'shiny' applications to show the user that the ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
murphydiagram  
Murphy Diagrams for Forecast Comparisons
Data and code for the paper by Ehm, Gneiting, Jordan and Krueger ('Of Quantiles and Expectiles: Con ...
Download / Learn more Package Citations See dependency  
AMPLE  
Shiny Apps to Support Capacity Building on Harvest Control Rules
Three Shiny apps are provided that introduce Harvest Control Rules (HCR) for fisheries management. ...
Download / Learn more Package Citations See dependency  
crplyr  
A 'dplyr' Interface for Crunch
In order to facilitate analysis of datasets hosted on the Crunch data platform ...
Download / Learn more Package Citations See dependency  
golem  
A Framework for Robust Shiny Applications
An opinionated framework for building a production-ready 'Shiny' application. This package contains ...
Download / Learn more Package Citations See dependency  

27,268

R Packages

233,548

Dependencies

72,590

Author Associations

27,205

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA