jgl: wrapper for function JGL fromo package "JGL"

In QData/JointNets: End-to-End Sparse Gaussian Graphical Model Simulation, Estimation, Visualization, Evaluation and Application

Description

wrapper for function JGL fromo package "JGL"

Usage

jgl(X, lambda1, lambda2, ...)

Arguments

X	data list
lambda1	The tuning parameter for the graphical lasso penalty.
lambda2	The tuning parameter for the fused or group lasso penalty.
...	optional parameters passed to JGL() from "JGL" package

Value

a list of estimated precision matrix

Examples

library(JointNets)
data(exampleData)
result = jgl(exampleData,0.1,0.01)
plot(result)

QData/JointNets documentation built on Nov. 17, 2019, 3:04 p.m.