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shinySbm

0.2.1Package record

'shiny' Application to Use the Stochastic Block Model

0packages depend
2.9Kdownloads / year
38.1%test coverage
13/13flavors OK

Overview

About

A 'shiny' interface for a simpler use of the 'sbm' R package. It also contains useful functions to easily explore the 'sbm' package results. With this package you should be able to use the stochastic block model without any knowledge in R, get automatic reports and nice visuals, as well as learning the basic functions of 'sbm'.

Install

Health

CRAN checks
13OK
Slowest check: 5.8 min · r-oldrel-macos-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-07-27
  • ERROR12 OK, 1 ERROR2026-06-27
  • OK13 OK2026-06-09
Show 4 earlier changesHide 4 earlier changes
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-04-08
  • ERROR13 OK, 1 ERROR2026-04-07
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.2.1
READMEYes · 428 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsiteYes
Help pages
19 (2 internal)includes a package overview page
Examples that run
100%13 run in a plain check
Exported functions with examples
71%
Documented parameters
98%
Return-value docs
100%
Help pages citing references
0%
Vignettes (1)

Downloads

2.9K
CRAN downloads in the past year
Rank #17,480 · ~8/day · ~242/mo
Daily download trend is not available in this view yet.
26230 days
73290 days
2.9K1 year
Compare downloads with other packages →
Also on120 r2u2 autocran

Repository

0Stars
4Forks
0Open issues
2Open PRs
0Releases
557Commits
6Commit identities
557 commits · Last activity 2026-01-09 · The default branch showed an older version (0.1.5) than CRAN on 2026-10-21
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
not measured
Median days to close, 50 most recently updated closed PRs
322

Forks over time

2025-06-30 · 22026-10-19 · 4
PracticesBeta

8 development-tooling and community-health practices detected across 6 families in the upstream repository

Checks run against github.com/jo-theo/shinysbm on 2026-10-21.

Continuous integration (1)
GitLab CI
Governance and community (1)
Code of conduct
Docs source (2)
README.Rmdpkgdown
Reproducibility and dev environment (1)
Dockerfile
Show all practicesHide 2 practices
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
23 external dependencies (excludes base and recommended)

Installing shinySbm adds 113 packages (54 with compiled code, 103 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (2)
R >= 3.5.0sbm
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (5)
Author, Maintainer since 0.2.0 (2026)
Contributor
Copyright holder · added in 0.2.0

Previously maintained by Theodore Vanrenterghem (0.1.4 to 0.1.5).

Listed in earlier versions (1)
Golem User
no longer listed · 0.1.4 to 0.1.5
Releases (4)

Pick two releases to compare their code metrics.

  • 0.2.1Latest
    record
    2026-07-17 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 0.2.0
    record
    2026-01-10 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 0.1.5
    record
    2023-09-07 · diff ↗
  • 0.1.4
    record
    2023-09-07
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2023-09-07
Total releases
4 / 3 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.5.0
Bundled data
314 KB / 1 file
Download size
1.9 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("shinySbm")
Aubert, J., INRAE, großBM team, Chabert-Liddell, S., & Vanrenterghem, T. (2026). shinySbm: 'shiny' Application to Use the Stochastic Block Model (Version 0.2.1) [Computer software]. https://doi.org/10.32614/CRAN.package.shinySbm

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 shinySbm version 0.2.1 [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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