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pvars

1.1.1Package record

VAR Modeling for Heterogeneous Panels

0packages depend
3.9Kdownloads / year
75.3%test coverage
13/13flavors OK

Overview

About

Implements (1) panel cointegration rank tests, (2) estimators for panel vector autoregressive (VAR) models, and (3) identification methods for panel structural vector autoregressive (SVAR) models as described in the accompanying vignette. The implemented functions allow to account for cross-sectional dependence and for structural breaks in the deterministic terms of the VAR processes. Among the large set of functions, particularly noteworthy are those that implement (1) the correlation-augmented inverse normal test on the cointegration rank by Arsova and Oersal (2021, doi:10.1016/j.ecosta.2020.05.002), (2) the two-step estimator for pooled cointegrating vectors by Breitung (2005, doi:10.1081/ETC-200067895), and (3) the pooled identification based on independent component analysis by Herwartz and Wang (2024, doi:10.1002/jae.3044).

Install

Health

CRAN checks
13OK
Slowest check: 6.8 min · r-oldrel-macos-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.1.1
README· In the repository, left out of the releaseVignettesYes · 1 · staticNEWSYes · 100% structured · does not mention 1.1.1Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
34includes a package overview page
Examples that run
77%20 run in a plain check · 6 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
88%

Downloads

3.9K
CRAN downloads in the past year
Rank #7,861 · ~11/day · ~324/mo
Daily download trend is not available in this view yet.
33530 days
1.1K90 days
3.9K1 year
Compare downloads with other packages →
Also on133 r2u7 autocran

Repository

7Stars
2Forks
0Open issues
0Open PRs
0Releases
64Commits
3Commit identities
64 commits · Last activity 2026-09-02 · 0% stars, 30d · Default branch at 1.2.0, ahead of CRAN 1.1.1 (checked 2026-10-11)
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
0

Stars over time

2025-09-04 · 62026-07-07 · 7
PracticesBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/lenni89/pvars on 2026-10-11.

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
19 external dependencies (excludes base and recommended)

Installing pvars adds 46 packages (28 with compiled code, 41 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, copula 3.5 MB.

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

Nothing depends on this yet.

Datasets

People & History

People (1)
Author, Maintainer since 1.1.0 (2025), Copyright holder
Releases (2)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.1.1Latest
    record
    2025-10-23 · current release · diff ↗
  • 1.1.0
    record
    2025-10-15
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2025-10-15
Total releases
2 / 1 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.5.0
Bundled data
578 KB / 8 files
Download size
3.0 MB
Appears in task views

Cite

Cite this package

Run in R for the authors' entry:

citation("pvars")

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

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 pvars version 1.1.1 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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