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bayesianVARs

0.1.8Package record

MCMC Estimation of Bayesian Vectorautoregressions

0packages depend
6.3Kdownloads / year
54.3%test coverage
13/13flavors OK

Overview

About

Efficient Markov Chain Monte Carlo (MCMC) algorithms for the fully Bayesian estimation of vectorautoregressions (VARs) featuring stochastic volatility (SV). Implements state-of-the-art shrinkage priors following Gruber & Kastner (2025) doi:10.1016/j.ijforecast.2025.02.001. Efficient equation-per-equation estimation following Kastner & Huber (2020) doi:10.1002/for.2680 and Carrerio et al. (2021) doi:10.1016/j.jeconom.2021.11.010.

Changes in 0.1.8
  • fixed CRAN check (memory access) issues. Thanks to Brian Ripley for pointing them out.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 18.9 min · r-oldrel-macos-x86_64
Status changes
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK12 OK2026-04-25
Show 5 earlier changesHide 5 earlier changes
  • NOTE12 OK, 2 NOTE2026-04-22
  • ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18
  • NOTE12 OK, 2 NOTE2026-04-10
  • ERROR11 OK, 2 NOTE, 1 ERROR2026-04-09
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.1.8
READMEYes · 166 wordsVignettesYes · 3 · dynamicNEWSYes · 100% structured · mentions 0.1.8Citation fileYes · cites a publicationWebsiteYes · pkgdown
Help pages
30
Examples that run
100%28 run in a plain check
Exported functions with examples
100%
Documented parameters
98%
Return-value docs
78%
Help pages citing references
20%

Downloads

6.3K
CRAN downloads in the past year
Rank #6,653 · ~17/day · ~522/mo
Daily download trend is not available in this view yet.
50830 days
1.3K90 days
6.3K1 year
Compare downloads with other packages →
Also on493 r2u24 autocran

Repository

11Stars
5Forks
1Open issues
0Open PRs
8Releases
413Commits
3Commit identities
bayesianpackagertime-seriesvectorautoregression
License file reads as GPL-3.0 · 413 commits · Last activity 2026-03-03 · 0% stars, 30d · Default branch at 0.1.8.9000, ahead of CRAN 0.1.8 (checked 2026-10-22)
Responsiveness
How these are sampled
PRs merged (all time)
80%
Median days to close, 50 most recently updated closed issues
4
Median days to close, 50 most recently updated closed PRs
10

Stars over time

2025-09-09 · 92026-07-07 · 11
PracticesBeta

6 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/luisgruber/bayesianvars on 2026-10-22.

Continuous integration (2)
GitHub ActionsR CMD check workflow

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

Docs source (3)
pkgdown

GitHub Pages site last deployed 2026-03-03 · The repository has a site deploy workflow

pkgdown site last built 2026-03-03

Reproducibility and dev environment (1)
data-raw/
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
20 external dependencies (excludes base and recommended)

Installing bayesianVARs adds 21 packages (12 with compiled code, 22 MB of source tarballs). Heaviest: factorstochvol 4.2 MB, corrplot 3.6 MB, stochvol 3.2 MB.

Depends (1)
R >= 3.5.0
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Copyright holder, Author, Maintainer since 0.1.0 (2024)
Author · added in 0.1.6
Author, Thesis advisor · added in 0.1.2
Releases (8)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.8Latest
    record
    2026-02-19 · current release · diff ↗
  • 0.1.6
    record
    2026-01-29 · diff ↗ ·
    added 3 exports
    extractB0, irf, specify_structural_restrictions
  • R
    R 4.5.0 released · 2025-04-11
  • 0.1.5
    record
    2024-11-13 · diff ↗
  • unarchivedReturned to CRAN
    2024-09-06
  • 0.1.4
    record
    2024-09-06 · diff ↗
  • archivedRemoved from CRAN
    2024-09-04
    issues were not corrected in time
  • 0.1.3
    record
    2024-06-26 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 0.1.2
    record
    2024-01-20 · diff ↗
  • 0.1.1
    record
    2024-01-17 · diff ↗
  • 0.1.0
    record
    2024-01-13
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2024-01-13
Total releases
8 / 2 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 3.5.0
Bundled data
37 KB / 1 file
Download size
774 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("bayesianVARs")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1016/j.ijforecast.2025.02.001.

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 bayesianVARs version 0.1.8 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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