mqqr
1.0.0Multivariate Quantile-on-Quantile Regression
Overview
Implements Multivariate Quantile-on-Quantile Regression (m-QQR) of Sinha, Ghosh, Hussain, Nguyen and Das (2023) doi:10.1016/j.eneco.2023.107021, extending the bivariate Quantile-on-Quantile regression of Sim and Zhou (2015) doi:10.1016/j.jbankfin.2015.01.013 to include exogenous moderators and controls with optional interaction terms. For each pair of quantile levels (theta of the response and tau of the regressor) the package fits a locally-weighted quantile regression of y on the principal regressor x, a lagged dependent variable, moderators Z and the x*Z interaction terms, using Gaussian kernel weights on the empirical cumulative distribution function (CDF) distance. Bootstrap standard errors and Koenker-Machado pseudo R-squared are reported. Visualisations include 'MATLAB'-style 'Parula' and 'Jet' 3D surfaces, heatmaps and contour plots through 'plotly'.
Install
Health
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-06-027 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 78%
- Return-value docs
- 100%
- References docs
- 17%
Downloads
Repository
Repository practices
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Checks run against github.com/merwanroudane/multiqqr on 2026-08-02.
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
1 release. R releases are shown for context.
- 1.0.0Latest2026-06-01 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-06-01
- Total releases
- 1 / 1 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5.0
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet