R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
rsetse
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]
[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 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
Functions, R codes and Examples using
the rsetse R package
Some associated functions: biconnected_network . calc_spring_area . calc_spring_constant . calc_tension_strain . calc_tension_strain_hd . create_balanced_blocks . create_node_edge_df . create_node_edge_df_hd . generate_peels_network . mass_adjuster . pipe . prepare_categorical_force . prepare_continuous_force . prepare_edges . remove_small_components . setse . setse_auto . setse_auto_hd . setse_bicomp . setse_expanded . setse_shift . tidyeval .
Some associated R codes: biconnected_network.R . calc_spring_area.R . calc_spring_constant.R . calc_tension_strain.R . calc_tension_strain_hd.R . create_balanced_blocks.R . create_node_edge_df.R . create_node_edge_df_hd.R . create_stabilised_blocks.R . fix_elevation_to_origin.R . force_v_from_angle.R . generate_peels_network.R . generate_peels_network_internal.R . mass_adjuster.R . prepare_categorical_force.R . prepare_continuous_force.R . prepare_edges.R . remove_articulation_duplicates.R . remove_small_components.R . setse.R . setse_auto.R . setse_auto_hd.R . setse_bicomp.R . setse_core.R . setse_core_expanded.R . setse_core_hd.R . setse_core_time_shift.R . setse_core_time_shift_hd.R . setse_data_prep.R . setse_data_prep_hd.R . setse_expanded.R . setse_shift.R . two_node_solution.R . utils_pipe.R . utils_tidy_eval.R . zzz.R . Full rsetse package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
quickcode
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
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
MultiKink
Estimation and inference for multiple kink quantile regression for longitudinal data and the i.i.d d ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Chuang Wan (view profile)
hkclustering
Implements an ensemble algorithm for clustering combining a k-means and a hierarchical clustering ap ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Ilan Fridman Rojas (view profile)
MM4LMM
The main function MMEst() performs (Restricted) Maximum Likelihood in a variance component mixed mod ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Fabien Laporte (view profile)
datadictionary
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
Download / Learn more Package Citations See dependency
Maintainer: Bethany Jones (view profile)
apache.sedona
R interface for 'Apache Sedona' based on 'sparklyr'
(). ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Apache Sedona (view profile)
24,012
R Packages
207,311
Dependencies
64,993
Author Associations
24,013
Publication Badges
