Package: hdqr Type: Package Title: Fast Algorithm for Penalized Quantile Regression Version: 1.0.2 Date: 2025-09-25 Authors@R: c( person(given = "Qian", family = "Tang", role = c("aut", "cre"), email = "qian-tang@uiowa.edu"), person(given = "Yikai", family = "Zhang", role = "aut", email = "yikai-zhang@uiowa.edu"), person(given = "Boxiang", family = "Wang", role = "aut", email = "boxiang-wang@uiowa.edu")) Maintainer: Qian Tang Description: Implements an efficient algorithm for fitting the entire regularization path of quantile regression models with elastic-net penalties using a generalized coordinate descent scheme. The framework also supports SCAD and MCP penalties. It is designed for high-dimensional datasets and emphasizes numerical accuracy and computational efficiency. This package implements the algorithms proposed in Tang, Q., Zhang, Y., & Wang, B. (2022) . License: GPL-2 Encoding: UTF-8 Depends: R (>= 3.5.0) Imports: stats, Matrix, methods Suggests: knitr, rmarkdown VignetteBuilder: knitr NeedsCompilation: yes RoxygenNote: 7.2.3 Packaged: 2026-06-11 08:05:42 UTC; root Author: Qian Tang [aut, cre], Yikai Zhang [aut], Boxiang Wang [aut] Repository: https://qiantang0326.r-universe.dev Date/Publication: 2025-09-26 07:40:03 UTC RemoteUrl: https://github.com/cran/hdqr RemoteRef: HEAD RemoteSha: f8e47249ebbf8113a7aa0455e6de118cf332e282