Package: fastkqr
Type: Package
Title: A Fast Algorithm for Kernel Quantile Regression
Version: 1.0.1
Date: 2026-06-30
Authors@R: c(person(given = "Qian", family = "Tang", role = c("aut", "cre"), email = "qian-tang@uiowa.edu"),
              person(given = "Yuwen", family = "Gu", role = "aut", email = "yuwen.gu@uconn.edu"),
              person(given = "Boxiang", family = "Wang", role = "aut", email = "boxiang-wang@uiowa.edu"))
Author: Qian Tang [aut, cre],
  Yuwen Gu [aut],
  Boxiang Wang [aut]
Maintainer: Qian Tang <qian-tang@uiowa.edu>
Description: Implements fast algorithms for kernel quantile regression and
    related models, including non-crossing kernel quantile regression and
    regularized linear quantile regression. The methods are described in
    Tang, Gu and Wang (2026) <doi:10.1080/10618600.2025.2541004>.
Depends: R (>= 3.5.0)
Imports: stats, parallel
License: GPL-2
NeedsCompilation: yes
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Config/roxygen2/version: 8.0.0
RoxygenNote: 7.2.3
Packaged: 2026-06-30 17:22:29 UTC; qtang7
Repository: CRAN
Date/Publication: 2026-07-01 22:30:22 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-07-02 02:30:38 UTC; unix
Archs: fastkqr.so.dSYM
