https://stork343.r-universe.devRecent package updates in stork343R-universehttps://github.com/stork343.pnghttps://stork343.r-universe.devWed, 06 May 2026 12:40:36 GMTbeidaihe77@qq.com (Houjian Hou)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.https://github.com/r-universe/stork343/actions/runs/27534205642Wed, 06 May 2026 12:40:36 GMTsssvcqr0.0.3successhttps://stork343.r-universe.devhttps://github.com/stork343/sssvcqrsssvcqr-introduction.Rnwsssvcqr-introduction.pdfGetting Started with sssvcqr2026-05-05 15:15:392026-05-06 12:40:36lucas-county-example.Rnwlucas-county-example.pdfLucas County Housing Example2026-05-05 15:15:392026-05-06 12:40:36