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qardlr: Quantile Autoregressive Distributed Lag Model

Implements the Quantile Autoregressive Distributed Lag (QARDL) model of Cho, Kim and Shin (2015) <doi:10.1016/j.jeconom.2015.01.003>. Estimates quantile-specific long-run (beta), short-run autoregressive (phi), and impact (gamma) parameters. Features include BIC-based automatic lag selection, Error Correction Model (ECM) parameterization, Wald tests for parameter constancy across quantiles, rolling/recursive QARDL estimation, Monte Carlo simulation, and publication-ready output tables.

Version: 1.0.1
Depends: R (≥ 3.5.0)
Imports: quantreg (≥ 5.95), stats, MASS
Suggests: testthat (≥ 3.0.0)
Published: 2026-03-13
DOI: 10.32614/CRAN.package.qardlr (may not be active yet)
Author: Muhammad Alkhalaf ORCID iD [aut, cre, cph], Merwan Roudane [ctb] (Original Stata implementation), Jin Seo Cho [ctb] (Original methodology), Tae-Hwan Kim [ctb] (Original methodology), Yongcheol Shin [ctb] (Original methodology)
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf at gmail.com>
BugReports: https://github.com/muhammedalkhalaf/qardlr/issues
License: GPL-3
URL: https://github.com/muhammedalkhalaf/qardlr
NeedsCompilation: no
Materials: README
CRAN checks: qardlr results

Documentation:

Reference manual: qardlr.html , qardlr.pdf

Downloads:

Package source: qardlr_1.0.1.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): qardlr_1.0.1.tgz, r-oldrel (arm64): qardlr_1.0.1.tgz, r-release (x86_64): qardlr_1.0.1.tgz, r-oldrel (x86_64): not available

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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