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sssvcqr  

Sparse-Smooth Spatially Varying Coefficient Quantile Regression
View on CRAN: Click here


Download and install sssvcqr package within the R console
Install from CRAN:
install.packages("sssvcqr")

Install from Github:
library("remotes")
install_github("cran/sssvcqr")

Install by package version:
library("remotes")
install_version("sssvcqr", "0.0.4")



Attach the package and use:
library("sssvcqr")
Maintained by
Houjian Hou
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-05-15
Latest Update: 2026-05-15
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.
How to cite:
Houjian Hou (2026). sssvcqr: Sparse-Smooth Spatially Varying Coefficient Quantile Regression. R package version 0.0.4, https://cran.r-project.org/web/packages/sssvcqr. Accessed 06 Jun. 2026.
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