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
spectralGraphTopology
View on CRAN: Click
here
Download and install spectralGraphTopology package within the R console
Install from CRAN:
install.packages("spectralGraphTopology")
Install from Github:
library("remotes")
install_github("cran/spectralGraphTopology")
Install by package version:
library("remotes")
install_version("spectralGraphTopology", "0.2.3")
Attach the package and use:
library("spectralGraphTopology")
Maintained by
Ze Vinicius
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
First Published: 2019-05-08
Latest Update: 2022-03-14
Description:
In the era of big data and hyperconnectivity, learning high-dimensional structures such as graphs from data has become a prominent task in machine learning and has found applications in many fields such as finance, health care, and networks. 'spectralGraphTopology' is an open source, documented, and well-tested R package for learning graphs from data. It provides implementations of state of the art algorithms such as Combinatorial Graph Laplacian Learning (CGL), Spectral Graph Learning (SGL), Graph Estimation based on Majorization-Minimization (GLE-MM), and Graph Estimation based on Alternating Direction Method of Multipliers (GLE-ADMM). In addition, graph learning has been widely employed for clustering, where specific algorithms are available in the literature. To this end, we provide an implementation of the Constrained Laplacian Rank (CLR) algorithm.
How to cite:
Ze Vinicius (2019). spectralGraphTopology: Learning Graphs from Data via Spectral Constraints. R package version 0.2.3, https://cran.r-project.org/web/packages/spectralGraphTopology. Accessed 22 Apr. 2025.
Previous versions and publish date:
Other packages that cited spectralGraphTopology R package
View spectralGraphTopology citation profile
Other R packages that spectralGraphTopology depends,
imports, suggests or enhances
Complete documentation for spectralGraphTopology
Functions, R codes and Examples using
the spectralGraphTopology R package
Some associated functions: A . Astar . D . Dstar . L . Lstar . accuracy . block_diag . cluster_k_component_graph . fdr . fscore . learn_bipartite_graph . learn_bipartite_k_component_graph . learn_combinatorial_graph_laplacian . learn_graph_sigrep . learn_k_component_graph . learn_laplacian_gle_admm . learn_laplacian_gle_mm . learn_smooth_approx_graph . learn_smooth_graph . npv . recall . relative_error . specificity . spectralGraphTopology-package .
Some associated R codes: RcppExports.R . blockCoordinateDescent.R . combinatorialGraphLaplacian.R . constrLaplacianRank.R . graphLaplacianEstimation.R . learnGraphTopology.R . objectiveFunction.R . smoothGraphLearning.R . spectralGraphTopology-package.R . utils.R . Full spectralGraphTopology package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
phylosamp
Implements novel tools for estimating sample sizes needed for phylogenetic studies, including
studi ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Justin Lessler (view profile)
GWPR.light
Geographically weighted panel regression is grounded in a branch of spatial statistics. Using geogra ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Chao Li (view profile)
optimStrat
Intended to assist in the choice of the sampling strategy to implement in a survey. ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Edgar Bueno (view profile)
Qest
Quantile-based estimators (Q-estimators) can be used to fit any parametric distribution, using its q ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Gianluca Sottile (view profile)
nextGenShinyApps
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
ino
Analysis of the initialization for numerical optimization of
real-valued functions, including likel ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Lennart Oelschlger (view profile)
24,098
R Packages
207,311
Dependencies
65,069
Author Associations
24,099
Publication Badges
