R Observatory: Metrics for BayesPanelUR version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

BayesPanelUR

0.1.0

Bayesian Unit Root Test for Panel Data Models

0packages depend

50downloads / year

81.3%test coverage

10/10checks pass

Overview

About

Maintained by Shikhar TyagiFirst published 2026-08-061 releasesCRAN page ↗

Implements the Bayesian unit root test for Panel Autoregressive (PAR) time series models developed by Kumar et al. (2016) https://hdl.handle.net/10419/179393. The package evaluates the unit root hypothesis (difference stationarity versus trend stationarity) in panel data using the Posterior Odds Ratio (POR). It accommodates PAR models with linear time trend as well as linear time trend with augmentation terms of arbitrary order. Full posterior probabilities, Bayes factors, and individual panel estimates are computed automatically.

Install

R (CRAN)Fedora (COPR)openSUSE (OBS)

install.packages("BayesPanelUR", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-BayesPanelUR

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-BayesPanelUR

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

10OK

Slowest check: 2.0 min · r-oldrel-macos-x86_64

Code health

Yes

Tests · ratio 0.09

81.3%

Coverage · measured lines

100%

Documentation · exports

2

Dependencies · direct

Check history

OK2026-08-07
7 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 100%
References docs: 50%

Downloads

50

CRAN downloads in the past year

Rank #24,817 · ~0/day · ~4/mo

BayesPanelUR Releases R versions

Daily download trend is not available in this view yet.

5030 days

5090 days

501 year

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Dependencies

Declared dependencies

3 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.0.0

Imports (2)

statsgraphics

LinkingTo (0)

none

Suggests (3)

testthat knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (4)

Maintainer (1)

Shikhar Tyagi

Author, Maintainer

Authors (4)

Author, Maintainer

Author

Author

Author

Package Timeline

1 release. R releases are shown for context.

0.1.0Latest
2026-08-06 · current release
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-08-06
Total releases: 1 / 1 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 4.0.0
Bundled data: 2.1 KB / 1 file
Download size: not tracked yet
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("BayesPanelUR")

Format

Tyagi, S., Pandey, A., Singh, B., & Tripathi, V. (2026). BayesPanelUR: Bayesian Unit Root Test for Panel Data Models (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.BayesPanelUR

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for BayesPanelUR version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-08-11. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-11, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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