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SBICgraph

1.0.0Package record

Structural Bayesian Information Criterion for Graphical Models

0packages depend
2.2Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

This is the implementation of the novel structural Bayesian information criterion by Zhou, 2020 (under review). In this method, the prior structure is modeled and incorporated into the Bayesian information criterion framework. Additionally, we also provide the implementation of a two-step algorithm to generate the candidate model pool.

Changes in 1.0.0

Minor changes

  • Bump major version to 1.0.0
  • Adjusted vignettes to reset par back to user choice

From NEWS.md in the release

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTEdependencies in R coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Namespace in Imports field not imported from:
  ‘network’
All declared Imports should be used.

CRAN check page ↗

Slowest check: 2.3 min · r-oldrel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTE2026-09-08
  • ERROR11 OK, 1 NOTE, 1 ERROR2026-09-07
  • NOTE9 OK, 5 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.0.0
READMEYes · 351 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 1.0.0Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
8
Examples that run
60%3 run in a plain check · 2 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
83%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%
Vignettes (1)

Downloads

2.2K
CRAN downloads in the past year
Rank #21,542 · ~6/day · ~187/mo
Daily download trend is not available in this view yet.
24430 days
61690 days
2.2K1 year
Compare downloads with other packages →
Also on70 r2u6 autocran

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)

Installing SBICgraph adds 19 packages (12 with compiled code, 12 MB of source tarballs). Heaviest: glmnet 2.7 MB, Rcpp 1.8 MB, RcppEigen 1.7 MB.

Depends (0)
none
Imports (3)
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (4)
Maintainer since 1.0.0 (2021), Author
Author
Author
Author
Releases (1)
  • 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
  • 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
  • 1.0.0Latest
    2021-03-02 · current release
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2021-03-02
Total releases
1 / 5 yrs
License
GPL-3 OSI
Download size
26 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("SBICgraph")
Nguyen, Q., Gui, J., Hoen, A., & Zhou, J. (2021). SBICgraph: Structural Bayesian Information Criterion for Graphical Models (Version 1.0.0) [Computer software]. https://doi.org/10.32614/CRAN.package.SBICgraph

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 SBICgraph version 1.0.0 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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