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: 2026-07-02 21:35:38 UTC; root
Repository: https://qiantang0326.r-universe.dev
Date/Publication: 2026-07-01 22:30:22 UTC
RemoteUrl: https://github.com/cran/fastkqr
RemoteRef: HEAD
RemoteSha: f3fea14acafecaaeb94d8ffd5711fa7c33ef6c1b