Package: wqrr Type: Package Title: Wavelet Quantile Regression Toolbox Version: 1.0.0 Authors@R: c( person("Merwan", "Roudane", email = "merwanroudane920@gmail.com", role = c("aut", "cre", "cph")), person("Nicholas", "Sim", role = "ctb", comment = "Original Quantile-on-Quantile methodology"), person("Hongtao", "Zhou", role = "ctb", comment = "Original Quantile-on-Quantile methodology"), person("Tomiwa Sunday", "Adebayo", role = "ctb", comment = "Wavelet Quantile Regression methodology"), person("Mehmet", "Balcilar", role = "ctb", comment = "Nonparametric quantile causality methodology")) Description: A comprehensive toolbox for wavelet-domain quantile analyses of bivariate and multivariate time series. Provides Wavelet Quantile Regression and Multivariate Wavelet Quantile Regression after Adebayo and Ozkan (2024) , Wavelet Quantile-on-Quantile regression with bootstrap p-values extending Sim and Zhou (2015) , the nonparametric Causality-in-Quantiles test of Balcilar, Gupta and Pierdzioch (2016) together with its wavelet variant, Wavelet Quantile Mediation and Moderation, Wavelet Quantile Correlation, and a wavelet-based nonparametric Quantile Density estimator. The Maximal Overlap Discrete Wavelet Transform (MODWT) decomposition is performed via 'waveslim' and Short / Medium / Long band aggregation is supported throughout. For plain Quantile-on-Quantile regression see the companion CRAN package 'QuantileOnQuantile'. All interactive 3D surfaces, heatmaps and contour plots default to the 'MATLAB' 'Parula' colour map. License: GPL-3 Encoding: UTF-8 RoxygenNote: 7.3.1 Depends: R (>= 3.5.0) Imports: quantreg (>= 5.0), waveslim (>= 1.8), plotly (>= 4.0.0), stats, utils, grDevices Suggests: knitr, rmarkdown, testthat (>= 3.0.0) VignetteBuilder: knitr URL: https://github.com/merwanroudane/wqrr BugReports: https://github.com/merwanroudane/wqrr/issues Config/testthat/edition: 3 NeedsCompilation: no Packaged: 2026-06-08 20:32:35 UTC; root Author: Merwan Roudane [aut, cre, cph], Nicholas Sim [ctb] (Original Quantile-on-Quantile methodology), Hongtao Zhou [ctb] (Original Quantile-on-Quantile methodology), Tomiwa Sunday Adebayo [ctb] (Wavelet Quantile Regression methodology), Mehmet Balcilar [ctb] (Nonparametric quantile causality methodology) Maintainer: Merwan Roudane Repository: https://cran.r-universe.dev Date/Publication: 2026-06-08 16:33:01 UTC RemoteUrl: https://github.com/cran/wqrr RemoteRef: HEAD RemoteSha: 1fdf62437d3f16c12bc188589e664118d51a7cd4