huge
2.0.1High-Dimensional Undirected Graph Estimation
Overview
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.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-04-2214 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-1813 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1214 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 1 earlier snapshots
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 55%
- References docs
- 10%
Downloads
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Dependencies
Code & Tests
People & History
33 releases. Pick two to compare their code metrics. R releases are shown for context.
- 2.0.1Latest
- 2.0.02026-07-26 · diff ↗
- RR 4.6.0 released · 2026-04-24
- 1.62026-04-13 · diff ↗
- 1.5.12026-03-31 · diff ↗
- 1.52026-03-11 · diff ↗
- 1.42026-02-19 · diff ↗
- unarchivedReturned to CRAN2026-02-19
- archivedRemoved from CRAN2026-02-01issues were not corrected in time
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 1.3.52021-06-30 · diff ↗
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
Show 37 earlier events
- 1.3.4.12020-04-01 · diff ↗
- 1.3.42019-10-28 · diff ↗
- 1.3.32019-09-09 · diff ↗
- RR 3.6.0 released · 2019-04-26
- 1.3.22019-04-08 · diff ↗
- 1.3.12019-03-12 · diff ↗
- 1.3.02019-02-22 · diff ↗
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
- 1.2.72015-09-16 · diff ↗
- RR 3.2.0 released · 2015-04-16
- RR 3.1.0 released · 2014-04-10
- 1.2.62014-02-28 · diff ↗
- 1.2.52013-12-07 · diff ↗
- RR 3.0.0 released · 2013-04-03
- 1.2.42012-08-16 · diff ↗
- RR 2.15.0 released · 2012-03-30
- 1.2.32012-03-22 · diff ↗
- 1.2.22012-03-21 · diff ↗
- 1.2.12012-01-27 · diff ↗
- 1.22012-01-22 · diff ↗
- RR 2.14.0 released · 2011-10-31
- 1.1.22011-08-22 · diff ↗
- 1.1.12011-08-10 · diff ↗
- 1.1.02011-07-23 · diff ↗
- 1.0.32011-06-17 · diff ↗
- 1.0.22011-06-15 · diff ↗
- RR 2.13.0 released · 2011-04-13
- 1.0.12011-04-11 · diff ↗
- 1.02011-03-02 · diff ↗
- 0.9.12011-02-13 · diff ↗
- 0.92010-11-22 · diff ↗
- 0.8.12010-11-17 · diff ↗
- 0.82010-11-14 · diff ↗
- 0.72010-11-11
- RR 2.12.0 released · 2010-10-15
Package metadata
- First published
- 2010-11-11
- Total releases
- 33 / 16 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 3.4.0
- Bundled data
- 703 KB / 2 files
- Download size
- 1.9 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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