Sparse-Smooth Spatially Varying Coefficient Quantile Regression R package sssvcqr version 0.0.4 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. Software Depends: R (>= 4.1) Imports: FNN, igraph, Matrix, methods, stats Suggests: knitr, rmarkdown, testthat (>= 3.0.0) Houjian Hou <beidaihe77@qq.com> Comprehensive R Archive Network (CRAN) Houjian Hou [aut, cre] GPL (>= 3) 2026-05-15 application/tgz https://CRAN.R-project.org/package=sssvcqr doi:10.32614/CRAN.package.sssvcqr