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.
| Version: | 0.0.4 |
| Depends: | R (≥ 4.1) |
| Imports: | FNN, igraph, Matrix, methods, stats |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2026-05-15 |
| DOI: | 10.32614/CRAN.package.sssvcqr (may not be active yet) |
| Author: | Houjian Hou [aut, cre] |
| Maintainer: | Houjian Hou <beidaihe77 at qq.com> |
| BugReports: | https://github.com/Stork343/sssvcqr/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/Stork343/sssvcqr |
| NeedsCompilation: | no |
| Citation: | sssvcqr citation info |
| Materials: | README, NEWS |
| CRAN checks: | sssvcqr results |
| Reference manual: | sssvcqr.html , sssvcqr.pdf |
| Vignettes: |
Lucas County Housing Example (source, R code) Getting Started with sssvcqr (source, R code) |
| Package source: | sssvcqr_0.0.4.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available |
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