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.


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install.packages("GGMnonreg")

1.0.0 by Donald Williams, 4 days ago


Browse source code at https://github.com/cran/GGMnonreg


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