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 <qian-tang@uiowa.edu>
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) <https://openreview.net/pdf?id=RvwMTDYTOb>.
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: 2025-09-26 01:08:20 UTC; qtang7
Author: Qian Tang [aut, cre],
  Yikai Zhang [aut],
  Boxiang Wang [aut]
Repository: CRAN
Date/Publication: 2025-09-26 07:40:03 UTC
Built: R 4.6.0; x86_64-w64-mingw32; 2025-11-02 03:17:43 UTC; windows
Archs: x64
