Package: fastkqr
Type: Package
Title: A Fast Algorithm for Kernel Quantile Regression
Version: 1.0.0
Date: 2024-05-07
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"))
Maintainer: Qian Tang <qian-tang@uiowa.edu>
Description: An efficient algorithm to fit and tune kernel quantile regression models based on the majorization-minimization (MM) method. It can also fit multiple quantile curves simultaneously without crossing.
Depends: R (>= 3.5.0), methods
Imports: graphics, grDevices, stats, utils, dotCall64, rlang, MASS,
        Matrix
License: GPL-2
NeedsCompilation: yes
RoxygenNote: 7.2.3
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Packaged: 2024-05-10 15:33:37 UTC; qtang7
Author: Qian Tang [aut, cre],
  Yuwen Gu [aut],
  Boxiang Wang [aut]
Repository: CRAN
Date/Publication: 2024-05-13 11:13:15 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-27 09:17:25 UTC; unix
Archs: fastkqr.so.dSYM
