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baygel

0.3.0

Bayesian Shrinkage Estimators for Precision Matrices in Gaussian Graphical Models

0packages depend
2.7Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Jarod SmithFirst published 2023-01-303 releasesCRAN page ↗GitHub ↗

This R package offers block Gibbs samplers for the Bayesian (adaptive) graphical lasso, ridge, and naive elastic net priors. These samplers facilitate the simulation of the posterior distribution of precision matrices for Gaussian distributed data and were originally proposed by: Wang (2012) doi:10.1214/12-BA729; Smith et al. (2022) doi:10.48550/arXiv.2210.16290 and Smith et al. (2023) doi:10.48550/arXiv.2306.14199, respectively.

Install

Health

CRAN checks
13OK
Slowest check: 4.3 min · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
2
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-04-25
    12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-04-22
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
Show 3 earlier snapshots
  • NOTE2026-04-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-09
    11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Downloads

2.7K
CRAN downloads in the past year
Rank #13,704 · ~7/day · ~221/mo
Daily download trend is not available in this view yet.
20130 days
74490 days
2.7K1 year
Compare downloads with other packages →
Also on394 r2u41 autocran

Repository

Repository
1Stars
0Forks
0Open issues
0Open PRs
1Releases
24Commits
2Contributors
24 commits · Last activity 2023-11-12

Stars over time

2025-05-14 · 12026-07-07 · 1

Repository practices

Upstream repositoryBeta

7 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/jarod-smithy/baygel on 2026-08-16.

Continuous integration (1)
GitHub Actions
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Docs source (1)
README.Rmd
Automation and maintenance (1)
pre-commit
Show all practices
Lint, format, editor (2)
lintrRStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)
Depends (0)
none
Suggests (2)
MASSpracma
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (3)
Maintainer (1)
Author, Maintainer
Authors (3)
Author, Maintainer
Package Timeline

3 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 0.3.0Latest
    2023-11-11 · current release · diff ↗
  • 0.2.0
    2023-07-08 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 0.1.0
    2023-01-30
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2023-01-30
Total releases
3 / 3 yrs
License
GPL (>= 3) OSI
Download size
9.0 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("baygel")
Smith, J., Arashi, M., & Bekker, A. (2023). baygel: Bayesian Shrinkage Estimators for Precision Matrices in Gaussian Graphical Models (Version 0.3.0) [Computer software]. https://doi.org/10.32614/CRAN.package.baygel

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for baygel version 0.3.0 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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