Package: sssvcqr
Title: Sparse-Smooth Spatially Varying Coefficient Quantile Regression
Version: 0.0.4
Authors@R: c(
    person(given = "Houjian", family = "Hou", role = c("aut", "cre"),
           email = "beidaihe77@qq.com")
    )
Author: Houjian Hou [aut, cre]
Maintainer: Houjian Hou <beidaihe77@qq.com>
Description: Implements sparse-smooth spatially varying coefficient quantile
    regression (SS-SVCQR), combining quantile regression of Koenker and
    Bassett (1978) <doi:10.2307/1913643>, grouped variable selection of Yuan
    and Lin (2006) <doi:10.1111/j.1467-9868.2005.00532.x>, graph
    regularization, and the alternating direction method of multipliers of
    Boyd et al. (2011) <doi:10.1561/2200000016>. The package provides
    graph-regularized estimation, spatially blocked cross-validation,
    prediction, diagnostics, and simulation helpers for global-local spatial
    quantile regression.
License: GPL (>= 3)
URL: https://github.com/Stork343/sssvcqr
BugReports: https://github.com/Stork343/sssvcqr/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1)
Imports: FNN, igraph, Matrix, methods, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
RoxygenNote: 7.3.3
NeedsCompilation: no
Packaged: 2026-05-11 12:22:23 UTC; houjian
Repository: CRAN
Date/Publication: 2026-05-15 20:00:02 UTC
Built: R 4.6.1; ; 2026-07-04 02:48:00 UTC; windows
