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]
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 16 Apr. 2025.
Previous versions and publish date:
0.4.0 (2020-11-12 10:30)
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
03/1803/1903/2003/2103/2203/2303/2403/2503/2603/2703/2803/2903/3003/3104/0104/0204/0304/0404/0504/0604/0704/0804/0904/1004/1104/1204/1304/14Downloads for rsetse02468101214161820222426TrendBars

Today's Hot Picks in Authors and Packages

quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
MultiKink  
Estimation and Inference for Multi-Kink Quantile Regression
Estimation and inference for multiple kink quantile regression for longitudinal data and the i.i.d d ...
Download / Learn more Package Citations See dependency  
hkclustering  
Ensemble Clustering using K Means and Hierarchical Clustering
Implements an ensemble algorithm for clustering combining a k-means and a hierarchical clustering ap ...
Download / Learn more Package Citations See dependency  
MM4LMM  
Inference of Linear Mixed Models Through MM Algorithm
The main function MMEst() performs (Restricted) Maximum Likelihood in a variance component mixed mod ...
Download / Learn more Package Citations See dependency  
datadictionary  
Create a Data Dictionary
Creates a data dictionary from any dataframe or tibble in your R environment. You can opt to add va ...
Download / Learn more Package Citations See dependency  
apache.sedona  
R Interface for Apache Sedona
R interface for 'Apache Sedona' based on 'sparklyr' (). ...
Download / Learn more Package Citations See dependency  

24,012

R Packages

207,311

Dependencies

64,993

Author Associations

24,013

Publication Badges

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