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FLAG  

Flexible and Accurate Gaussian Graphical Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("FLAG", "0.1")



Attach the package and use:
library("FLAG")
Maintained by
Yueqi QIAN
[Scholar Profile | Author Map]
First Published: 2025-04-12
Latest Update: 2025-04-12
Description:
In order to achieve accurate estimation without sparsity assumption on the precision matrix, element-wise inference on the precision matrix, and joint estimation of multiple Gaussian graphical models, a novel method is proposed and efficient algorithm is implemented. FLAG() is the main function given a data matrix, and FlagOneEdge() will be used when one pair of random variables are interested where their indices should be given. Flexible and Accurate Methods for Estimation and Inference of Gaussian Graphical Models with Applications, see Qian Y (2023) <doi:10.14711/thesis-991013223054603412>, Qian Y, Hu X, Yang C (2023) <doi:10.48550/arXiv.2306.17584>.
How to cite:
Yueqi QIAN (2025). FLAG: Flexible and Accurate Gaussian Graphical Models. R package version 0.1, https://cran.r-project.org/web/packages/FLAG. Accessed 02 May. 2025.
Previous versions and publish date:
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Complete documentation for FLAG
Functions, R codes and Examples using the FLAG R package
Full FLAG package functions and examples
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