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vibass

1.0.4Package record

Materials for Introductory Course on Bayesian Learning

0packages depend
5.4Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Practicals, data sets, helper functions and interactive 'Shiny' apps used in the introductory course on Bayesian inference at the Valencia International Bayesian Summer School. Installing 'vibass' installs all the other packages used during the course and downloads all necessary materials for working off line.

Changes in 1.0.4
  • Update URLs and package documentation.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 4.9 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-07-29
  • ERROR12 OK, 1 ERROR2026-07-27
  • OK13 OK2026-06-09
Show 3 earlier changesHide 3 earlier changes
  • ERROR12 OK, 1 ERROR2026-06-07
  • OK12 OK2026-04-25
  • NOTE11 OK, 3 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.0.4
READMEYes · 92 wordsVignettesYes · 9 · evaluation depends on the environmentNEWSYes · 100% structured · mentions 1.0.4Citation fileNoWebsiteYes · pkgdown
Help pages
5 (1 internal)
Examples that run
100%4 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

5.4K
CRAN downloads in the past year
Rank #17,811 · ~15/day · ~447/mo
Daily download trend is not available in this view yet.
27630 days
72390 days
5.4K1 year
Compare downloads with other packages →
Also on103 r2u4 autocran

Repository

vabar/vibass ↗Organization: VABAR
9Stars
1Forks
1Open issues
0Open PRs
3Releases
418Commits
7Commit identities
bayesian-inferenceteaching
418 commits · Last activity 2026-07-09 · Default branch at 1.0.4.9001, ahead of CRAN 1.0.4 (checked 2026-10-18)
Responsiveness
How these are sampled
PRs merged (all time)
not measured
Median days to close, 50 most recently updated closed issues
1
Median days to close, 50 most recently updated closed PRs
not measured

Stars over time

2025-07-14 · 92026-07-07 · 9
PracticesBeta

8 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/vabar/vibass on 2026-10-18.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux and Windows, and on R-devel

Docs source (4)
README.Rmdpkgdown

GitHub Pages site last deployed 2026-07-07 · The repository has a site deploy workflow

pkgdown site last built 2026-07-09

CRAN release process (1)
cran-comments.md
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
32 external dependencies (excludes base and recommended)

Installing vibass adds 73 packages (42 with compiled code, 69 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, bslib 5.6 MB.

Depends (1)
R >= 4.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (7)
Contributor, Maintainer since 1.0.1 (2025)
Cirad, Package developer
Author, Copyright holder
Contributor
Universitat de València
Contributor
Biomathematics and Statistics Scotland (BioSS)
Contributor
Universitat de València
Contributor
Universitat de València
Contributor
Universidad Castilla-La Mancha
Releases (3)

Pick two releases to compare their code metrics.

  • 1.0.4Latest
    record
    2026-06-17 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.3
    record
    2025-09-10 · diff ↗
  • 1.0.1
    record
    2025-07-07
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2025-07-07
Total releases
3 / 1 yrs
License
GPL-3 OSI
Additional repositories
inla.r-inla-download.org
Minimum R
≥ 4.0
Bundled data
3.6 KB / 1 file
Download size
5.2 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("vibass")
Muñoz, F., VIBASS Team, Armero, C., Brewer, M., Conesa, D., Forte, A., & Gómez-Rubio, V. (2026). vibass: Materials for Introductory Course on Bayesian Learning (Version 1.0.4) [Computer software]. https://doi.org/10.32614/CRAN.package.vibass

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 vibass version 1.0.4 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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