donaldRwilliams/GGMnonreg: 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 <doi:10.1080/00273171.2019.1575716>, and Fisher z transformed partial correlations <doi:10.1111/bmsp.12173>. Parameter uncertainty, predictability, and network replicability <doi:10.31234/osf.io/fb4sa> are also implemented.

Getting started

Package details

MaintainerDonald Williams <drwwilliams@ucdavis.edu>
LicenseGPL-2
Version1.0.1
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("donaldRwilliams/GGMnonreg")
donaldRwilliams/GGMnonreg documentation built on May 13, 2021, 11:57 a.m.