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mqqcause: Multivariate Quantile-on-Quantile Granger Causality

Implements bivariate and Multivariate Quantile-on-Quantile Granger causality tests building on the Quantile-on-Quantile regression framework of Sim and Zhou (2015) <doi:10.1016/j.jbankfin.2015.01.013> and the quantile Granger causality test of Troster (2018) <doi:10.1080/07474938.2016.1172400>. The bivariate test estimates the local-linear slope in the quantile regression of y_t on lagged x_t with lagged y_t as control, using Gaussian kernel weights, and tests it against zero by paired bootstrap. The multivariate (conditional) test additionally conditions on a set of moderators Z and optional x times Z interaction terms, in the spirit of Sinha, Ghosh, Hussain, Nguyen and Das (2023) <doi:10.1016/j.eneco.2023.107021>. A Sup-Wald summary across the quantile grid is also provided. Heatmaps and 3D surfaces default to the 'MATLAB' 'Parula' colour map.

Version: 1.0.0
Depends: R (≥ 3.5.0)
Imports: quantreg (≥ 5.0), plotly (≥ 4.0.0), stats, utils, grDevices
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2026-06-01
DOI: 10.32614/CRAN.package.mqqcause (may not be active yet)
Author: Merwan Roudane [aut, cre, cph], Avik Sinha [ctb] (Original multivariate QQ causality methodology), Nicholas Sim [ctb] (Original QQ regression methodology), Hongtao Zhou [ctb] (Original QQ regression methodology)
Maintainer: Merwan Roudane <merwanroudane920 at gmail.com>
BugReports: https://github.com/merwanroudane/qqcaus/issues
License: GPL-3
URL: https://github.com/merwanroudane/qqcaus
NeedsCompilation: no
Citation: mqqcause citation info
Materials: NEWS
CRAN checks: mqqcause results

Documentation:

Reference manual: mqqcause.html , mqqcause.pdf

Downloads:

Package source: mqqcause_1.0.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): mqqcause_1.0.0.tgz, r-oldrel (arm64): mqqcause_1.0.0.tgz, r-release (x86_64): mqqcause_1.0.0.tgz, r-oldrel (x86_64): mqqcause_1.0.0.tgz

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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