EstimateGroupNetwork (version 0.3.1)

Perform the Joint Graphical Lasso and Selects Tuning Parameters

Description

Can be used to simultaneously estimate networks (Gaussian Graphical Models) in data from different groups or classes via Joint Graphical Lasso. Tuning parameters are selected via information criteria (AIC / BIC / extended BIC) or cross validation.

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Version

Install

install.packages('EstimateGroupNetwork')

Monthly Downloads

255

Version

0.3.1

License

GPL (>= 2)

Maintainer

Giulio Costantini

Last Published

February 10th, 2021

Functions in EstimateGroupNetwork (0.3.1)

covNoBessel

Covariance matrix without Bessel's correction

GroupNetworkBoot

Compute bootstrap networks for a Joint Graphical Lasso model on data collected on observations from different groups.

GroupBootPlot

Create a plot of bootstrapped confidence intervals for all edges of a Joint Graphical Lasso model.

BootTable

Summary table for a bootstrapped Joint Graphical Lasso model

EstimateGroupNetwork

Estimate Joint Graphical Lasso model on data collected on observations from different groups.