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EstimateGroupNetwork  

Perform the Joint Graphical Lasso and Selects Tuning Parameters
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("EstimateGroupNetwork", "0.3.1")



Attach the package and use:
library("EstimateGroupNetwork")
Maintained by
Giulio Costantini
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-03-20
Latest Update: 2021-02-10
Description:
Can be used to simultaneously estimate networks (Gaussian Graphical Models) in data from different groups or classes via Joint Graphical Lasso. Tuning parameters are selected via information criteria (AIC / BIC / extended BIC) or cross validation.
How to cite:
Giulio Costantini (2017). EstimateGroupNetwork: Perform the Joint Graphical Lasso and Selects Tuning Parameters. R package version 0.3.1, https://cran.r-project.org/web/packages/EstimateGroupNetwork. Accessed 03 Dec. 2024.
Previous versions and publish date:
0.1.2 (2017-03-20 09:38), 0.2.2 (2020-01-08 09:20)
Other packages that cited EstimateGroupNetwork R package
View EstimateGroupNetwork citation profile
Other R packages that EstimateGroupNetwork depends, imports, suggests or enhances
Complete documentation for EstimateGroupNetwork
Functions, R codes and Examples using the EstimateGroupNetwork R package
Some associated functions: BootTable . EstimateGroupNetwork . GroupBootPlot . GroupNetworkBoot . covNoBessel . 
Some associated R codes: ANPLL.R . BootTable.R . EstimateGroupNetwork.R . GroupBootPlot.R . GroupNetworkBoot.R . MyJGL.R . globals.R .  Full EstimateGroupNetwork package functions and examples
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