GGMnonreg

Product or Programme · All products and programmes
Evidence · 3 claims (3 for) · 2 studies (2 design), q1 · 0 of 2 report an effect size · 3 claims rest on one study

Description

GGMnonreg is an R package that implements non-regularized Gaussian graphical-modeling methods for low-dimensional data, developed by Donald Williams.

Components

Claims

• Non-regularized graphical model methods are specifically designed for low-dimensional data common in the social-behavioral sciences [+W]
• Regularization-based graphical modeling has key drawbacks, including difficulty obtaining valid parameter uncertainty and inflated false positive rates [+W]
• The frequentist graphical LASSO has difficulty estimating centrality indices and uncertainty in these measures in symptom networks [+W]

Related Products and Programmes

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Key Sources

• Donald Williams. (2021). GGMnonreg: Non-regularized Gaussian graphical models in R. Journal of Open Source Software, 6(67), 3308. https://doi.org/10.21105/joss.03308

Page metadata

Field	Value
type	product
id	ggmnonreg
title	GGMnonreg
description	GGMnonreg is an R package that implements non-regularized Gaussian graphical-modeling methods for low-dimensional data, developed by Donald Williams.
status	review
moved_from	element/ggmnonreg-r-package
product_kind	software
generated	by process:sweep-kinds on 2026-10-10
trust	unverified — no one has confirmed this page's content
sources	1 — donald-williams-2021

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