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GGMridge  

Gaussian Graphical Models Using Ridge Penalty Followed by Thresholding and Reestimation
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("GGMridge", "1.4")



Attach the package and use:
library("GGMridge")
Maintained by
Shannon T. Holloway
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-02-02
Latest Update: 2023-11-24
Description:
Estimation of partial correlation matrix using ridge penalty followed by thresholding and reestimation. Under multivariate Gaussian assumption, the matrix constitutes an Gaussian graphical model (GGM).
How to cite:
Shannon T. Holloway (2016). GGMridge: Gaussian Graphical Models Using Ridge Penalty Followed by Thresholding and Reestimation. R package version 1.4, https://cran.r-project.org/web/packages/GGMridge. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.1 (2016-02-02 11:48), 1.2 (2022-06-07 16:20), 1.3 (2023-10-01 23:00)
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Complete documentation for GGMridge
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