Quantile Autoregressive Distributed Lag Model
Overview
Implements the Quantile Autoregressive Distributed Lag (QARDL) model of Cho, Kim and Shin (2015) doi:10.1016/j.jeconom.2015.05.003. 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.
qardl()andqardl_bic_select()stop with an error whenyorXcontains missing values; the message gives the number and position of the incomplete rows.summary.qardl()prints, under the gamma(tau) table, that the covariance of gamma(tau) has rank one (Cho, Kim and Shin, 2015, Theorem 1(ii)) and that its t statistics equal the t statistic of rho(tau) in absolute value. The documentation ofqardl()states the same.
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-08
- WARNING12 OK, 1 WARNING2026-06-07
- OK5 OK2026-03-14
Documentation
- Help pages
- 35 (18 internal)includes a package overview page
- Examples that run
- 100%8 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 23%
Downloads
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Dependencies
Installing qardlr adds 3 packages (2 with compiled code, 1.4 MB of source tarballs). Heaviest: quantreg 903 KB, SparseM 540 KB, MatrixModels 24 KB.
Code & Tests
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People & History
Package metadata
- First published
- 2026-03-13
- Total releases
- 3 / 1 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 4.4 KB / 1 file
- Download size
- 43 KB
Cite
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Run in R for the authors' entry:
citation("qardlr")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.32614/cran.package.qardlr.
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