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MGL  

Module Graphical Lasso
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("MGL", "1.1")



Attach the package and use:
library("MGL")
Maintained by
Safiye Celik
[Scholar Profile | Author Map]
First Published: 2014-11-03
Latest Update: 2014-11-05
Description:
An aggressive dimensionality reduction and network estimationtechnique for a high-dimensional Gaussian graphical model (GGM). Pleaserefer to: Efficient Dimensionality Reduction for High-Dimensional NetworkEstimation, Safiye Celik, Benjamin A. Logsdon, Su-In Lee, Proceedings ofThe 31st International Conference on Machine Learning, 2014, p. 1953--1961.
How to cite:
Safiye Celik (2014). MGL: Module Graphical Lasso. R package version 1.1, https://cran.r-project.org/web/packages/MGL. Accessed 06 Apr. 2025.
Previous versions and publish date:
1.0 (2014-11-03 13:39)
Other packages that cited MGL R package
View MGL citation profile
Other R packages that MGL depends, imports, suggests or enhances
Complete documentation for MGL
Functions, R codes and Examples using the MGL R package
Some associated functions: MGL . 
Some associated R codes: MGL.R .  Full MGL package functions and examples
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