Other packages > Find by keyword >

JGL  

Performs the Joint Graphical Lasso for Sparse Inverse Covariance Estimation on Multiple Classes
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("JGL", "2.3.2")



Attach the package and use:
library("JGL")
Maintained by
Patrick Danaher
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-07-27
Latest Update: 2023-12-19
Description:
The Joint Graphical Lasso is a generalized method for estimating Gaussian graphical models/ sparse inverse covariance matrices/ biological networks on multiple classes of data. We solve JGL under two penalty functions: The Fused Graphical Lasso (FGL), which employs a fused penalty to encourage inverse covariance matrices to be similar across classes, and the Group Graphical Lasso (GGL), which encourages similar network structure between classes. FGL is recommended over GGL for most applications. Reference: Danaher P, Wang P, Witten DM. (2013) .
How to cite:
Patrick Danaher (2012). JGL: Performs the Joint Graphical Lasso for Sparse Inverse Covariance Estimation on Multiple Classes. R package version 2.3.2, https://cran.r-project.org/web/packages/JGL. Accessed 07 Nov. 2024.
Previous versions and publish date:
2.1 (2012-07-27 07:42), 2.2 (2012-08-17 19:44), 2.3.1 (2018-12-01 00:40), 2.3 (2013-04-16 21:27)
Other packages that cited JGL R package
View JGL citation profile
Other R packages that JGL depends, imports, suggests or enhances
Complete documentation for JGL
Functions, R codes and Examples using the JGL R package
Some associated functions: JGL-internal . JGL-package . JGL . crit . example.data . gcrit . net.degree . net.edges . net.hubs . net.neighbors . screen.fgl . screen.ggl . subnetworks . 
Some associated R codes: crit.R . dsgl.R . flsa.general.R . flsa2.R . gcrit.R . make.adj.matrix.R . net.degree.R . net.edges.R . net.hubs.R . net.neighbors.R . penalty.as.matrix.R . screen.fgl.R . screen.ggl.R . soft.R . subnetworks.R .  Full JGL package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

con2aqi  
Calculate the AQI from Pollutant Concentration
To calculate the AQI (Air Quality Index) from pollutant concentration data. O3, PM2.5, PM10, CO, SO ...
Download / Learn more Package Citations See dependency  
bacondecomp  
Goodman-Bacon Decomposition
Decomposition for differences-in-differences with variation in treatment timing from Goodman-Bacon ...
Download / Learn more Package Citations See dependency  
robregcc  
Robust Regression with Compositional Covariates
We implement the algorithm estimating the parameters of the robust regression model with composition ...
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  

23,092

R Packages

198,677

Dependencies

62,675

Author Associations

23,089

Publication Badges

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