Package: sssvcqr
Title: Sparse-Smooth Spatially Varying Coefficient Quantile Regression
Version: 0.0.3
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, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
RoxygenNote: 7.3.3
Config/pak/sysreqs: libglpk-dev libxml2-dev
Repository: https://stork343.r-universe.dev
Date/Publication: 2026-05-06 12:40:36 UTC
RemoteUrl: https://github.com/stork343/sssvcqr
RemoteRef: HEAD
RemoteSha: c32ee90a8f95c6ec89ac0ee554a9fa77770d88ad
NeedsCompilation: no
Packaged: 2026-06-15 08:39:16 UTC; root