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Comprehensive implementation of advanced ARDL methodologies for cointegration analysis with structural breaks and asymmetric effects. Includes: (1) Fourier Quantile ARDL (FQARDL) - quantile regression with Fourier approximation for analyzing relationships across the conditional distribution; (2) Fourier Nonlinear ARDL (FNARDL) - asymmetric cointegration with partial sum decomposition following Shin, Yu & Greenwood-Nimmo (2014) <doi:10.1007/978-1-4899-8008-3_9>; (3) Multi-Threshold NARDL (MTNARDL) - multiple regime asymmetry analysis; (4) Fourier Unit Root Tests - ADF and KPSS tests with Fourier terms following Enders & Lee (2012) <doi:10.1016/j.econlet.2012.05.019> and Becker, Enders & Lee (2006) <doi:10.1111/j.1467-9892.2006.00490.x>. Features automatic lag and frequency selection, PSS bounds testing following Pesaran, Shin & Smith (2001) <doi:10.1002/jae.616>, bootstrap cointegration tests, Wald tests for asymmetry, dynamic multiplier computation, and publication-ready visualizations. Ported from Stata/Python by Dr. Merwan Roudane.
| Version: | 1.0.2 |
| Depends: | R (≥ 3.5.0) |
| Imports: | quantreg (≥ 5.0), ggplot2 (≥ 3.0.0), tidyr, gridExtra, stats |
| Suggests: | testthat (≥ 3.0.0), knitr, rmarkdown, plotly, covr |
| Published: | 2026-03-17 |
| DOI: | 10.32614/CRAN.package.fqardl |
| Author: | Muhammad Alkhalaf |
| Maintainer: | Muhammad Alkhalaf <muhammedalkhalaf at gmail.com> |
| BugReports: | https://github.com/muhammedalkhalaf/fqardl/issues |
| License: | GPL-3 |
| URL: | https://github.com/muhammedalkhalaf/fqardl |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | fqardl results |
| Reference manual: | fqardl.html , fqardl.pdf |
| Package source: | fqardl_1.0.2.tar.gz |
| Windows binaries: | r-devel: fqardl_1.0.2.zip, r-release: fqardl_1.0.2.zip, r-oldrel: fqardl_1.0.2.zip |
| macOS binaries: | r-release (arm64): fqardl_1.0.2.tgz, r-oldrel (arm64): fqardl_1.0.2.tgz, r-release (x86_64): fqardl_1.0.2.tgz, r-oldrel (x86_64): fqardl_1.0.2.tgz |
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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.