Skip to content
This package was removed from CRAN on 2025-06-12. Its history is shown below.
Reason: requires archived package 'GGMncv'
Details below reflect version 1.0.0, its last release before removal.

GGMnonreg

1.0.0

Non-Regularized Gaussian Graphical Models

0packages depend
downloads / year
test coverage
checks pass

Overview

About
Maintained by Donald Williams1 releasesCRAN page ↗

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.

Install

Health

CRAN checks

CRAN check results are not tracked yet.

Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
17
Dependencies · direct

Documentation

Documentation
READMEYes · 753 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
71%
Documented parameters
100%
Return-value docs
100%
References docs
59%

Downloads

Daily download trend is not available in this view yet.
Also on88 r2u3 autocran

Dependencies

Declared dependencies
13 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.0.0
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
indirect (not tracked)

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • archivedRemoved from CRAN
    2025-06-12
    requires archived package 'GGMncv'
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 1.0.0
    2021-04-08
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

Total releases
1
License
GPL-2 OSI
Minimum R
≥ 4.0.0
Bundled data
245 KB / 19 files
Download size
not tracked yet
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Start here. This is the citation for the package itself.

citation("GGMnonreg")

A package removed from CRAN has no DOI on this scheme. See its archive page on CRAN, or run citation() on an installed copy.

BibTeX, derived from DESCRIPTION

@Manual{GGMnonreg,
  title  = {GGMnonreg: Non-Regularized Gaussian Graphical Models},
  author = {Williams, Donald},
  note   = {R package version 1.0.0},
  url    = {https://CRAN.R-project.org/package=GGMnonreg}
}

Derived from the package DESCRIPTION, not from a citation file the authors wrote. If they publish one later, prefer it.

This is the citation for the package. It is not a citation for the R Observatory.

Cite this page

Use this when the claim is about a measurement on this page.

BibTeX

@misc{robservatoryGGMnonreg,
  author    = {Balamuta, James Joseph},
  title     = {{R} {Observatory}: Metrics for {GGMnonreg} version 1.0.0},
  year      = {2026},
  publisher = {HJJB, LLC},
  url       = {https://r-observatory.thecoatlessprofessor.com/packages/GGMnonreg},
  note      = {Data set. Data release v2026-08-05}
}

APA

Balamuta, J. J. (2026). R Observatory: Metrics for GGMnonreg version 1.0.0 [Data set]. HJJB, LLC. Data release v2026-08-05. https://r-observatory.thecoatlessprofessor.com/packages/GGMnonreg

RIS

TY  - DATA
AU  - Balamuta, James Joseph
TI  - R Observatory: Metrics for GGMnonreg version 1.0.0
PY  - 2026
PB  - HJJB, LLC
N1  - Data release v2026-08-05
UR  - https://r-observatory.thecoatlessprofessor.com/packages/GGMnonreg
ER  - 

In prose

These package metrics were obtained from the R Observatory (Balamuta, 2026), data release v2026-08-05, https://r-observatory.thecoatlessprofessor.com/packages/GGMnonreg.

Bound to data release v2026-08-05, which is what makes the numbers on this page reproducible. See how to cite.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy