Bayesian Estimation of Structural Vector Autoregressive Models
- CRAN checks, method
Method
Checks and health
CRAN runs every current package through
R CMD checkon a set of machines and publishes a result for each one. The health shown on a package page comes from these results alone.- Problems
- Notes alone never count against a package, but a warning, an error or a failure on any platform is a problem. Open CRAN deadlines are a fact of their own, shown as a clock after the mark, so the mark always says what the checks found.
- Checks only
- Health reflects CRAN's check results and nothing else. Even a package with no tests, no coverage or no recent release can have every platform OK.
- Once a day
- Results are collected once a day from files CRAN publishes. Each platform is one machine set-up, named by its R version, operating system, architecture and compiler, such as r-devel-linux-x86_64-fedora-clang.
- Platforms counted
- The 13 in 3 of 13 is the number of platform rows CRAN published for that package on the day of collection. The set of machines changes over time, so the number is not fixed, and a package missing from a platform counts as neither passing nor failing there.
- All OK13 platforms
- CRAN 30-day downloads, method
- 886−8.4% down on the 30 days before, the worse direction
- Dependent packages, method
Method
Reverse dependencies
Dependent packages are other packages that list this one under
Depends,ImportsorLinkingToin theirDESCRIPTIONfile. Those fields list the packages a package needs to install, so dependents break if this one is archived or broken.- As declared
- The counts follow the declarations as written, not whether a package uses the other one when it runs.
- Suggests apart
- Packages that list this one only under
Suggestsinstall and run without it, and use it for tests, examples or an optional feature. They are counted as Suggested by, never among the dependents, and a package that also lists it under one of the three fields is a dependent and is not counted again. - Zero
- Zero dependents means no current CRAN package declares a need for this one, though some may suggest it. On 28 Oct 2026, 19,572 of the 25,583 current CRAN packages had no dependent package.
- 31 more suggest it
- Test coverage, method
Method
Test coverage
Test coverage is measured by downloading each CRAN package's current source file, installing its dependencies, building it and running its tests under covr.
- Almost half of CRAN has no tests to run
- Only CRAN packages are measured. Many have no percentage, most often because the package has no tests, and that blank is a recorded outcome, not missing data.
- NOT_CRAN
- Tests run with NOT_CRAN=true, so tests that skip themselves on CRAN run here, and the figure can differ from what CRAN's own checks see.
- Current version only
- Only the current version is measured, and a new version on CRAN is measured again. Older rows are kept but never filled in later. This is one package's run.
- Never 0%
- On a package page three states stay apart: measured, no tests, and not measured. Neither of the last two is ever shown as 0%.
- 60%of lines run by tests
- Advisories, method
Method
Security advisories
Advisories come from the R Consortium advisory database, a community record of security problems in R packages, as OSV publishes it.
- The copy
- The record is read once a day. The data is published under the Apache License 2.0 and is credited on the advisories list.
- Box under the name
- Under the package's name, a box names any advisory that affects the current release, with its fix or that there is none.
- Ranges
- Advisories state ranges, such as from 0.9.12 up to but not including 1.8.8. Each range is checked against every version CRAN has published, using the version rules R itself uses, so a release that came out after the advisory was written is still caught by its range.
- Not the package
- The rating is for the library flaw itself, not for how exposed the R package is, and it is never added up into a figure for the package.
- None known
About
Method, About Method Licence figures come from the Licences
License field of each package's DESCRIPTION file, read the way R itself reads it. No licence file is opened.tools::analyze_license() and R's own licence database, as CRAN's checks read it.| is read, so one string can offer two families.
Provides fast and efficient procedures for Bayesian analysis of Structural Vector Autoregressions. This package estimates a wide range of models, including homo-, heteroskedastic, and non-normal specifications.
Full description
Provides fast and efficient procedures for Bayesian analysis of Structural Vector Autoregressions. This package estimates a wide range of models, including homo-, heteroskedastic, and non-normal specifications. Structural models can be identified by adjustable exclusion restrictions, time-varying volatility, or non-normality, and include exclusion restrictions on autoregressive parameters. They all include a flexible three-level equation-specific local-global hierarchical prior distribution for the estimated level of shrinkage for autoregressive and structural parameters. Additionally, the package facilitates predictive and structural analyses such as impulse responses, forecast error variance and historical decompositions, forecasting, verification of heteroskedasticity, non-normality, and hypotheses on autoregressive parameters, as well as analyses of structural shocks, volatilities, and fitted values. Beautiful plots, informative summary functions, and extensive documentation including the vignette by Woźniak (2025) <doi:10.48550/arXiv.2410.15090> complement all this. The implemented techniques align closely with those presented in Lütkepohl, Shang, Uzeda, & Woźniak (2025) <doi:10.1016/j.jeconom.2025.106107>, Lütkepohl & Woźniak (2020) <doi:10.1016/j.jedc.2020.103862>, and Song & Woźniak (2021) <doi:10.1093/acrefore/9780190625979.013.174> and they embed many popular models proposed by other authors. The 'bsvars' package is aligned regarding objects, workflows, and code structure with the R packages 'bsvarSIGNs' by Wang & Woźniak (2025) <doi:10.32614/CRAN.package.bsvarSIGNs>, 'bvars' by Liu, Ramirez Hassan, Woźniak (2026) <doi:10.32614/CRAN.package.bvars>, and 'bpvars' by Woźniak (2026) <doi:10.32614/CRAN.package.bpvars>, and they constitute an integrated toolset.
- Maintainer
- Tomasz Woźniak
- Licence
- GPL (>= 3)
- Latest release
- 22 Aug 2026
- First release
- 1 Sep 2022
More details
- Releases
- 8
- Needs compilation
- Yes
- Needs R
- >= 4.1.0
- Config/roxygen2/version
- 8.0.0
- Date
- 2026-08-19
- LazyData
- true
Task views (2)
Subjects (1) Method, SubjectsMethod
Subjects and collections
Subjects are the site's own grouping of CRAN packages, found by clustering. Collections are sets of packages that communities declare, such as the tidyverse.
- Subjects
- Subjects are found by clustering the words of current CRAN packages and the packages they use. No one edits them by hand.
- Collections
- Collections are sets that communities declare, through a package that installs the set or an organization on GitHub. The site finds them by rules.
- Who made each
- Subjects are marked Site and collections Community. Subjects, collections and task views are never mixed in one list.
- The day of the data
- Subjects and collections were last worked out on 22 Oct 2026.
- Vector autoregression, core
Cite
Package
Run in R for the authors' entry:
citation("bsvars")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.32614/cran.package.bsvars, 10.48550/arxiv.2410.15090, 10.1016/j.jeconom.2025.106107.
R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
Balamuta, J. J. (2026). R Observatory: Metrics for bsvars version 4.0 [Data set]. HJJB, LLC. Data release v2026-10-28. https://doi.org/10.5281/zenodo.21843040
About
From data release v2026-10-28, which the citation names so these numbers can be found later.
Health
All 13 check platforms pass.
r-devel-linux-x86_64-debian-clangThe unreleased R on Linux, x86_64, debian-clang
OK
- Version checked
- 4.0
- Time taken
- 473 s
r-devel-linux-x86_64-debian-gccThe unreleased R on Linux, x86_64, debian-gcc
OK
- Version checked
- 4.0
- Time taken
- 363 s
r-devel-linux-x86_64-fedora-clangThe unreleased R on Linux, x86_64, fedora-clang
OK
- Version checked
- 4.0
- Time taken
- 345 s
r-devel-linux-x86_64-fedora-gccThe unreleased R on Linux, x86_64, fedora-gcc
OK
- Version checked
- 4.0
- Time taken
- 369 s
r-devel-windows-x86_64The unreleased R on Windows, x86_64
OK
- Version checked
- 4.0
- Time taken
- 642 s
r-oldrel-macos-arm64The previous release of R on macOS, arm64
OK
- Version checked
- 4.0
- Time taken
- 56 s
r-oldrel-macos-x86_64The previous release of R on macOS, x86_64
OK
- Version checked
- 4.0
- Time taken
- 391 s
r-oldrel-windows-x86_64The previous release of R on Windows, x86_64
OK
- Version checked
- 4.0
- Time taken
- 680 s
r-patched-linux-x86_64The patched release of R on Linux, x86_64
OK
- Version checked
- 4.0
- Time taken
- 468 s
r-release-linux-x86_64The current release of R on Linux, x86_64
OK
- Version checked
- 4.0
- Time taken
- 459 s
r-release-macos-arm64The current release of R on macOS, arm64
OK
- Version checked
- 4.0
- Time taken
- 118 s
r-release-macos-x86_64The current release of R on macOS, x86_64
OK
- Version checked
- 4.0
- Time taken
- 369 s
r-release-windows-x86_64The current release of R on Windows, x86_64
OK
- Version checked
- 4.0
- Time taken
- 612 s
- 13 OK
Over time
No change since 30 Aug 2026
As a list (8)
| Changed | Worst status | OK | Notes | Warnings | Errors |
|---|---|---|---|---|---|
| 30 Aug 2026 | OK | 13 | 0 | 0 | 0 |
| 30 Jul 2026 | Note | 0 | 13 | 0 | 0 |
| 22 Apr 2026 | Warning | 1 | 9 | 4 | 0 |
| 18 Apr 2026 | Error | 1 | 8 | 4 | 1 |
| 10 Apr 2026 | Warning | 1 | 9 | 4 | 0 |
| 9 Apr 2026 | Error | 1 | 9 | 3 | 1 |
| 29 Mar 2026 | Warning | 1 | 12 | 1 | 0 |
| 10 Mar 2026 | Note | 1 | 13 | 0 | 0 |
Since March 2026
Downloads
Method, Downloads Method Download figures count requests logged by each distribution channel. They are not counts of installs or of users, because each channel publishes its own totals and this site reads them.Downloads
- Total downloads in the last 30 days
- 1,549It is the sum of 5 channels: CRAN, r2u, autoCRAN, conda-forge and c2d4u.
CRAN rank
3,889 of 26,530
CRAN
886 downloads in the last 30 days
- Rank
- 3,889 of 26,530
- Change
- −8.4% down on the 30 days before, the worse direction
It is in the total. Take it out
r2u
28 downloads in the last 30 days
- Rank
- 4,072 of 30,526
- Change
- −56.3% down on the 30 days before, the worse direction
It is in the total. Take it out
autoCRAN
20 downloads in the last 30 days
- Rank
- 2,250 of 29,212
- Change
- −4.8% down on the 30 days before, the worse direction
It is in the total. Take it out
conda-forge
615 downloads in the last 30 days
- Rank
- 1,339 of 3,828
- Change
- +1,364% up on the 30 days before, the better direction
It is in the total. Take it out
c2d4u, no longer updated
0 downloads in the last 30 days
- Rank
- 6,270 of 7,575
- Change
- −100% down on the 30 days before, the worse direction
It is in the total. Take it out
The total is 1,549 downloads in the last 30 days. It is the sum of 5 channels: CRAN, r2u, autoCRAN, conda-forge and c2d4u.
Over time
Dependencies
- Needs
- 8
- Dependent packages
- 3
- Suggested by
- 1
Needs (8)
- Installing it adds
- 9 packages, 6.2 MB of source
- Of those, need compilation
- 5
Dependent packages (3)
| Package | Title | Downloads in 30 days |
|---|---|---|
| bsvarSIGNs | Bayesian SVARs with Sign, Zero, and Narrative Restrictions | 577 |
| bvars | Bayesian Forecasting with Large Vector Autoregressions | 304 |
| bpvars | Forecasting with Bayesian Panel Vector Autoregressions | 279 |
Code
Method, Code Method Code metrics come from reading the released source of each package version. The package is never installed, loaded or run.Code metrics
README, vignettes, a NEWS file and the shares read from its help pages. Files kept only in the repository, such as a pkgdown configuration or CI files, are read by the repository scan instead.
- Functions
- 358
- Public exports
- 44
- Lines of R code
- 14,847
- Median complexity
- 1
Functions (358)
Size and composition
Lines by kind (37,263)
| Kind | Lines | Share |
|---|---|---|
| R code | 14,847 | 40% |
| Tests | 5 | 0.0% |
| Documentation | 15,368 | 41% |
| Guides | 10 | 0.0% |
| Compiled code | 7,033 | 19% |
Lines by language
| Language | Lines | Share |
|---|---|---|
| Rd | 15,368 | 41% |
| R | 14,852 | 40% |
| C++ | 6,368 | 17% |
| C | 665 | 2% |
| Vignettes | 10 | 0% |
Languages are counted from file extensions.
- Files
- 290
- R functions
- 164
- Compiled functions
- 196
- Object systems
- S3: 139 methods, R6: 29 classes
Complexity
- Median
- 1
- Mean
- 2.16
- Highest
- 11
- Median lines per function
- 19
About complexity
Cyclomatic complexity counts the independent paths through a function: 1 is a straight line, higher is harder to test. R functions only.
Call graph figures
- R functions
- 164
- Calls
- 19
- Unconnected
- 143
- Groups
- 2
Growth (8 releases)
Release changes
Tests
The tests ran and coverage was measured.
- Lines run by tests
- 59.8%
- Expressions run by tests
- 65%
- Test cases
- 206
- Exports named in tests
- 0%
Coverage by file (27)
Coverage run
- Lines counted
- 3,410
- Lines the tests ran
- 1,596
- Tests passed
- Yes
- Measured with
- covr 3.6.5 on R 4.6.1
Test suite
- Has tests
- Yes
- Test frameworks
- tinytest
- Test cases
- 206
- Lines of tests
- 5
- Test lines per line of code
- 0
Documentation
- Exports documented
- 100%
- Arguments documented
- 100%
- Return value documented
- 31.8%
- Help pages with examples
- 99.4%
- Examples run in checks
- 100%
Guides (1)
Other documentation
- README
- Yes, 1,194 words
- Release notes file
- Yes
- Help pages
- 178
- Lines of documentation
- 15,368
Datasets
Method, Datasets Method The datasets inside packages are read from their R objects in datasets
data/ folders when the code is analysed. Each object is described by its class, its shape and its columns, and fingerprinted so the same data can be found in other packages.data() are listed, 76,180 on CRAN and 8,045 on Bioconductor, so the list is not every file in data/.
| Dataset | Size |
|---|---|
| us_ | 8 × 3 |
| us_ | 313 × 3 |
| us_ | 8 × 3 |
| us_ | 313 × 3 |
| us_ | 266 × 10 |
People
Method, People Method People on the site are the names packages give them in their Author and maintainer identity
DESCRIPTION files: authors from the author list, and the maintainer from the Maintainer field. Spellings of one name become one person only where the rules below allow it, and when in doubt the rules keep people apart.
Tomasz Woźniak, an organisation
Maintainer since 1.0.0 (2022), author
Contributor
Contributor
Contributor
Contributor
Contributor
Repository
Method, figures by host Method Repository signals are the figures read from the source repository a package links to: stars, forks, issues, commits, releases and the time issues take to close. They are read from GitHub, GitLab, Codeberg and Bitbucket.Repository signals
URL and BugReports fields of its DESCRIPTION file. Read-only mirrors, the cran and bioc accounts on GitHub and git.bioconductor.org, are left out.
- Stars
- 63no change on 30 days ago
- Forks
- 17
- Open issues
- 9
- Last commit
- 29 Sep 2026
Activity
- Commits
- 812
- Open pull requests
- 0
- Tagged releases
- 8
- Latest tagged release
- v4.0, 24 Aug 2026
- In development
- Default branch at 4.0.0.9000, ahead of CRAN 4.0 (checked 2026-10-25)
- Issues closed in
- 31 days (median)
- Pull requests closed in
- 0 days (median)
- Pull requests merged
- 88%
- Created
- 29 Aug 2022
- Licence file reads as
- –
Development practices (8)
| Kind | Found |
|---|---|
| Continuous integration | GitHub Actions, R CMD check workflow The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel |
| Docs source | README.Rmd, pkgdown GitHub Pages site last deployed 2026-09-29 The repository has a site deploy workflow pkgdown site last built 2026-08-24 |
| CRAN release process | cran-comments.md |
| Lint, format, editor | RStudio project |
Method, repository practices Method Beta Each week a scan of the public source repository a package links to looks for the tools a maintainer has set up, and the Repository section lists the findings. Repositories on GitHub and GitLab are scanned.Repository practices
R CMD build reads .Rbuildignore and leaves out files used only in development, such as .github/, .lintr, renv/, a Dockerfile and cran-comments.md, so the released source file holds almost none of them. The repository is the one place these files stay visible.
History
Method, History Method Archived is built from CRAN's archive records, its list of check deadlines and Bioconductor's package records. Every figure is counted to 28 Oct 2026, the day the data was read.Packages leaving
| Version | Released | R |
|---|---|---|
| 4.0 current | 22 Aug 2026 | 4.6.1 |
| 3.2 | 24 Oct 2024 | 4.4.1 |
| 3.1 | 14 Jul 2024 | 4.4.1 |
| 3.0.1 | 28 Jun 2024 | 4.4.1 |
| 3.0 | 19 Jun 2024 | 4.4.1 |
| 2.1.0 | 11 Dec 2023 | 4.3.2 |
| 2.0.0 | 24 Oct 2023 | 4.3.1 |
| 1.0.0 | 1 Sep 2022 | 4.2.1 |
Release notes (4.0)
The package is under intensive development, and more functionality will be provided soon! To see the package ROADMAP towards the next version.
Have a question, or suggestion, or wanna get in touch? Email us at [contact\@bsvars.org](mailto:contact@bsvars.org) forum.
The model with Student-t structural shocks features now, an estimated equation-specific degrees-of-freedom parameter, see specify_bsvar_t() with verified normality using function verify_identification() #84
Updated C++ flags to the newest recommended setup as inspired by the PR #103 by \@haansn08
Corrected C++ code for historical decompositions in PR #108 by Adam Wang
Upon popular request the package includes possibility of imposing exclusion restrictions on autoregressive parameters for all models #106
Improved forecasting plots to accommodate those for horizon = 1 #121
A NEW MODEL! A BSVAR with heterogeneous Markov switching heteroskedasticity #58
ALL MODELS can have normal or Student-t distributed shocks. There's a new arguent in all specify_* functions distribution = c("norm", "t"). #58
A NEW MODEL! A BSVAR with exogenous heteroskedastic regime changes. #23
Updates CXX flags. #125
Simplified examples in documentation to better express the simplicity of workflows as suggested by \@robjhyndman. #120
Replaced forecast method with generics::forecast as suggested by \@robjhyndman. #114
Normalisation is now made through the generic and methods normalise 131
Corrected R code for forecasting with HMSH models in PR #136 by Bruno Cavalcante
Corrected C++ code for Student's t shocks in PR #140 by Fei Shang
Fix recursive forecasts for non-centred SV and Student-t specifications in PR #140 by Fei Shang
Major code corrections by Fei Shang in PRs #143 #144 #145 #146 #148 #149 #150 #151 #153 #155
Forecast output formatted using R6 environment #138
Fixed historical decomposition crash in PR #156 by Adam Wang
Corrected plots with provided shock names. Thanks to \@nreigl who reported issue #104.
Implemented many interesting suggestions submitted by \@robjhyndman in issues #115 #117 #118 and #119.