QuantileOnQuantile: Quantile-on-Quantile Regression Analysis

Implements the Quantile-on-Quantile (QQ) regression methodology developed by Sim and Zhou (2015) <doi:10.1016/j.jbankfin.2015.01.013>. QQ regression estimates the effect that quantiles of one variable have on quantiles of another, capturing the dependence between distributions. The package provides functions for QQ regression estimation, 3D surface visualization with 'MATLAB'-style color schemes ('Jet', 'Viridis', 'Plasma'), heatmaps, contour plots, and quantile correlation analysis. Uses 'quantreg' for quantile regression and 'plotly' for interactive visualizations. Particularly useful for examining relationships between financial variables, oil prices, and stock returns under different market conditions.

Version: 1.0.3
Depends: R (≥ 3.5.0)
Imports: quantreg (≥ 5.0), plotly (≥ 4.0.0), stats, utils
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0), htmlwidgets
Published: 2026-02-08
DOI: 10.32614/CRAN.package.QuantileOnQuantile (may not be active yet)
Author: Merwan Roudane [aut, cre, cph], Nicholas Sim [ctb] (Original methodology developer), Hongtao Zhou [ctb] (Original methodology developer)
Maintainer: Merwan Roudane <merwanroudane920 at gmail.com>
BugReports: https://github.com/merwanroudane/qq/issues
License: GPL-3
URL: https://github.com/merwanroudane/qq
NeedsCompilation: no
Materials: NEWS
CRAN checks: QuantileOnQuantile results

Documentation:

Reference manual: QuantileOnQuantile.html , QuantileOnQuantile.pdf
Vignettes: Introduction to Quantile-on-Quantile Regression (source, R code)

Downloads:

Package source: QuantileOnQuantile_1.0.3.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): QuantileOnQuantile_1.0.3.tgz, r-oldrel (arm64): QuantileOnQuantile_1.0.3.tgz, r-release (x86_64): QuantileOnQuantile_1.0.3.tgz, r-oldrel (x86_64): QuantileOnQuantile_1.0.3.tgz

Linking:

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