Non-Regularized Gaussian Graphical Models

Estimate non-regularized Gaussian graphical models, Ising models, and mixed graphical models. The current methods consist of multiple regression, a non-parametric bootstrap , and Fisher z transformed partial correlations . Parameter uncertainty, predictability, and network replicability are also implemented.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


1.0.0 by Donald Williams, 7 months ago

Browse source code at

Authors: Donald Williams [aut, cre]

Documentation:   PDF Manual  

GPL-2 license

Imports Rdpack, bestglm, GGally, network, sna, Matrix, poibin, parallel, doParallel, foreach, corpcor, psych, MASS, stats, methods, ggplot2, GGMncv

Suggests qgraph

See at CRAN