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cff-version: 1.2.0
message: 'To cite package "huge" in publications use:'
type: software
license: GPL-2.0-only
title: 'huge: High-Dimensional Undirected Graph Estimation'
version: '1.5'
doi: 10.32614/CRAN.package.huge
abstract: 'Provides a general framework for high-dimensional undirected graph estimation.
  It integrates data preprocessing, neighborhood screening, graph estimation, and
  model selection techniques into a pipeline. In preprocessing stage, the nonparanormal(npn)
  transformation is applied to help relax the normality assumption. In the graph estimation
  stage, the graph structure is estimated by Meinshausen-Buhlmann graph estimation,
  the graphical lasso, or the TIGER (tuning-insensitive graph estimation and regression)
  method, and the first two can be further accelerated by the lossy screening rule
  preselecting the neighborhood of each variable by correlation thresholding. We target
  on high-dimensional data analysis usually d >> n, and the computation is memory-optimized
  using the sparse matrix output. We also provide a computationally efficient approach,
  correlation thresholding graph estimation. Three regularization/thresholding parameter
  selection methods are included in this package: (1)stability approach for regularization
  selection (2) rotation information criterion (3) extended Bayesian information criterion
  which is only available for the graphical lasso.'
authors:
- family-names: Jiang
  given-names: Haoming
- family-names: Fei
  given-names: Xinyu
- family-names: Liu
  given-names: Han
- family-names: Roeder
  given-names: Kathryn
- family-names: Lafferty
  given-names: John
- family-names: Wasserman
  given-names: Larry
- family-names: Li
  given-names: Xingguo
- family-names: Zhao
  given-names: Tuo
  email: tourzhao@gatech.edu
repository: https://gatech-flash.r-universe.dev
repository-code: https://github.com/Gatech-Flash/huge
commit: 6a537b32b35b947434db1e62734f3223c5a5cc00
url: https://github.com/Gatech-Flash/huge
date-released: '2026-03-15'
contact:
- family-names: Zhao
  given-names: Tuo
  email: tourzhao@gatech.edu