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gif  

Graphical Independence Filtering
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("gif", "0.1.1")



Attach the package and use:
library("gif")
Maintained by
Shiyun Lin
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-06-03
Latest Update: 2024-01-12
Description:
Provides a method of recovering the precision matrix for Gaussian graphical models efficiently. Our approach could be divided into three categories. First of all, we use Hard Graphical Thresholding for best subset selection problem of Gaussian graphical model, and the core concept of this method was proposed by Luo et al. (2014) . Secondly, a closed form solution for graphical lasso under acyclic graph structure is implemented in our package (Fattahi and Sojoudi (2019) ). Furthermore, we implement block coordinate descent algorithm to efficiently solve the covariance selection problem (Dempster (1972) ). Our package is computationally efficient and can solve ultra-high-dimensional problems, e.g. p > 10,000, in a few minutes.
How to cite:
Shiyun Lin (2020). gif: Graphical Independence Filtering. R package version 0.1.1, https://cran.r-project.org/web/packages/gif. Accessed 25 Jun. 2026.
Previous versions and publish date:
0.1.0 (2020-06-03 18:20)
Other packages that cited gif R package
View gif citation profile
Other R packages that gif depends, imports, suggests or enhances
Complete documentation for gif
Functions, R codes and Examples using the gif R package
Some associated functions: ar1 . ggm.generator . hgt . sgt . 
Some associated R codes: GGM.R . GGM_generator.R . RcppExports.R . data.R .  Full gif package functions and examples
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