Graphical Lasso for Coloured Gaussian Graphical Models for Paired Data

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Documentation for package ‘pdglasso’ version 2.0.1

• DESCRIPTION file
• Package README

Help Pages

pdglasso-package	pdglasso: Graphical Lasso for Coloured Gaussian Graphical Models for Paired Data
admm.pdglasso	ADMM graphical lasso algorithm for pdRCON models
bc_data	Breast Cancer dataset
compute.eBIC	Extended Bayesian Information Criterion (eBIC) for pdRCON models
fMRI_parietal	fMRI dataset
GGM.simulate	Random simulation of Gaussian graphical models (GGMs)
lams.max	Maximum theoretical values of lambda1 and lambda2
pdColG.get	pdColG matrix from the output of a call to 'admm.pdglasso'
pdglasso	pdglasso: Graphical Lasso for Coloured Gaussian Graphical Models for Paired Data
pdRCON.mle	Maximum likelihood estimate of a pdRCON model
pdRCON.select	Selection and estimate of a pdRCON model according to eBIC
pdRCON.simulate	Random simulation of pdRCON models
plot.ADMMoutput	Diagnostic plot for the output of the ADMM
plot.pdColG	Visual representation of a coloured graph for paired data
summary.pdColG	Structural properties of a coloured graph for paired data
toy_data	Toy dataset generated by a call to the 'pdRCON.simulate' function