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VARtests

2.0.7Package record

Bootstrap Tests for Cointegration and Autocorrelation in VARs

0packages depend
2.2Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Implements wild bootstrap tests for autocorrelation in Vector Autoregressive (VAR) models based on Ahlgren and Catani (2016) doi:10.1007/s00362-016-0744-0, a combined Lagrange Multiplier (LM) test for Autoregressive Conditional Heteroskedasticity (ARCH) in VAR models from Catani and Ahlgren (2016) doi:10.1016/j.ecosta.2016.10.006, and bootstrap-based methods for determining the cointegration rank from Cavaliere, Rahbek, and Taylor (2012) doi:10.3982/ECTA9099 and Cavaliere, Rahbek, and Taylor (2014) doi:10.1080/07474938.2013.825175.

Install

Health

CRAN checks
13OK
Slowest check: 4.1 min · r-devel-windows-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 3 earlier changesHide 3 earlier changes
  • NOTE12 OK, 2 NOTE2026-04-22
  • ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 2.0.7
READMENoVignettesNoNEWSYes · does not mention 2.0.7Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
8
Examples that run
67%4 run in a plain check · 2 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
63%

Downloads

2.2K
CRAN downloads in the past year
Rank #19,961 · ~6/day · ~185/mo
Daily download trend is not available in this view yet.
25830 days
65890 days
2.2K1 year
Compare downloads with other packages →
Also on343 r2u5 autocran

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)

Installing VARtests adds 8 packages (5 with compiled code, 5.2 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppArmadillo 1.0 MB, quantreg 903 KB.

Depends (1)
R >= 3.0.2
Imports (3)
methodsRcppsn
LinkingTo (2)
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Author, Maintainer since 1.0.1 (2017)
Contributor · added in 2.0.5
Contributor · added in 2.0.5
Listed in earlier versions (1)
Paul Catani Niklas Ahlgren
no longer listed · 1.0.1
Releases (3)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • unarchivedReturned to CRAN
    2025-07-25
  • 2.0.7Latest
    record
    2025-07-25 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • archivedRemoved from CRAN
    2022-10-03
    check issues were not corrected despite reminders
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • 2.0.5
    record
    2018-11-02 · diff ↗ ·
    added 1 export
    cointBootTest
  • R
    R 3.5.0 released · 2018-04-23
  • 1.0.1
    record
    2017-08-07
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2017-08-07
Total releases
3 / 9 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 3.0.2
Bundled data
7.0 KB / 1 file
Download size
40 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("VARtests")
Belfrage, M., Ahlgren, N., & Catani, P. (2025). VARtests: Bootstrap Tests for Cointegration and Autocorrelation in VARs (Version 2.0.7) [Computer software]. https://doi.org/10.32614/CRAN.package.VARtests

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 VARtests version 2.0.7 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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