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BGVAR

2.5.9

Bayesian Global Vector Autoregressions

0packages depend
6.8Kdownloads / year
0.0%test coverage
13/13checks pass

Overview

About
Maintained by Maximilian BoeckFirst published 2020-06-1930 releasesCRAN page ↗GitHub ↗

Estimation of Bayesian Global Vector Autoregressions (BGVAR) with different prior setups and the possibility to introduce stochastic volatility. Built-in priors include the Minnesota, the stochastic search variable selection and Normal-Gamma (NG) prior. For a reference see also Crespo Cuaresma, J., Feldkircher, M. and F. Huber (2016) "Forecasting with Global Vector Autoregressive Models: a Bayesian Approach", Journal of Applied Econometrics, Vol. 31(7), pp. 1371-1391 doi:10.1002/jae.2504. Post-processing functions allow for doing predictions, structurally identify the model with short-run or sign-restrictions and compute impulse response functions, historical decompositions and forecast error variance decompositions. Plotting functions are also available. The package has a companion paper: Boeck, M., Feldkircher, M. and F. Huber (2022) "BGVAR: Bayesian Global Vector Autoregressions with Shrinkage Priors in R", Journal of Statistical Software, Vol. 104(9), pp. 1-28 doi:10.18637/jss.v104.i09.

Install

Health

CRAN checks
13OK
Slowest check: 13.7 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.00
0.0%
Coverage · measured lines
100%
Documentation · exports
18
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
  • OK2026-05-02
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-04-22
    11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    10 OK · 3 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
Show 1 earlier snapshots
  • NOTE2026-03-10
    11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 426 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 33% structuredCode of conductNoContributing guideNo
Examples that run
22%
Documented parameters
100%
Return-value docs
88%
References docs
38%

Downloads

6.8K
CRAN downloads in the past year
Rank #5,393 · ~19/day · ~570/mo
Daily download trend is not available in this view yet.
42930 days
1.5K90 days
6.8K1 year
Compare downloads with other packages →
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Repository

Repository
35Stars
23Forks
3Open issues
0Open PRs
0Releases
192Commits
6Contributors
192 commits · Last activity 2026-01-03 · 0% stars, 30d

Stars over time

2025-04-22 · 282026-07-07 · 35

Repository practices

Upstream repositoryBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/mboeck11/bgvar on 2026-08-16.

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
19 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
Imports (18)
abindbayesmcodaGIGrvggraphicsknitrMASSMatrixmethodsparallelRcppRcppParallelreadxlstatsstochvolutilsxtszoo
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (4)
Maintainer (1)
Author, Maintainer
Authors (3)
Author, Maintainer
Contributors (1)
Contributor · added in 2.2.3
Listed in earlier versions (1)
no longer listed · 2.0.0 to 2.1.5
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 2.5.9Latest
    2025-09-22 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 2.5.8
    2024-09-30 · diff ↗
  • 2.5.7
    2024-07-07 · diff ↗
  • 2.5.6
    2024-07-03 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 2.5.5
    2023-12-13 · diff ↗
  • 2.5.4
    2023-12-11 · diff ↗
  • 2.5.3
    2023-12-09 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 2.5.2
    2022-10-26 · diff ↗
  • 2.5.1
    2022-09-03 · diff ↗
  • 2.5.0
    2022-05-02 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 2.4.6
    2022-04-12 · diff ↗
Show 25 earlier events
  • 2.4.5
    2022-04-04 · diff ↗
  • 2.4.4
    2022-04-01 · diff ↗
  • 2.4.3
    2021-11-06 · diff ↗
  • 2.4.2
    2021-11-04 · diff ↗
  • 2.4.1
    2021-11-04 · diff ↗
  • 2.4.0
    2021-10-06 · diff ↗
  • 2.3.1
    2021-09-10 · diff ↗
  • 2.3.0
    2021-08-10 · diff ↗
  • 2.2.4
    2021-07-20 · diff ↗
  • 2.2.3
    2021-07-17 · diff ↗
  • unarchivedReturned to CRAN
    2021-07-17
  • archivedRemoved from CRAN
    2021-05-18
    check problems were not corrected in time
  • R
    R 4.1.0 released · 2021-05-18
  • 2.2.0
    2021-05-03 · diff ↗
  • 2.1.5
    2020-11-15 · diff ↗
  • 2.1.4
    2020-11-14 · diff ↗
  • unarchivedReturned to CRAN
    2020-11-14
  • archivedRemoved from CRAN
    2020-11-04
    check problems were not corrected in time
  • 2.1.3
    2020-09-30 · diff ↗
  • 2.1.2
    2020-09-14 · diff ↗
  • 2.1.1
    2020-09-07 · diff ↗
  • 2.1.0
    2020-09-07 · diff ↗
  • 2.0.1
    2020-06-24 · diff ↗
  • 2.0.0
    2020-06-19
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2020-06-19
Total releases
30 / 6 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5.0
Bundled data
892 KB / 4 files
Download size
3.1 MB
Installed size
not tracked yet
With dependencies
not tracked yet
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("BGVAR")
Boeck, M., Feldkircher, M., Hosszejni, D., & Huber, F. (2025). BGVAR: Bayesian Global Vector Autoregressions (Version 2.5.9) [Computer software]. https://doi.org/10.32614/CRAN.package.BGVAR

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 BGVAR version 2.5.9 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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