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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "sssvcqr" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'sssvcqr: Sparse-Smooth Spatially Varying Coefficient Quantile Regression'
version: 0.0.4
abstract: Implements sparse-smooth spatially varying coefficient quantile regression
  (SS-SVCQR), combining quantile regression of Koenker and Bassett (1978) <https://doi.org/10.2307/1913643>,
  grouped variable selection of Yuan and Lin (2006) <https://doi.org/10.1111/j.1467-9868.2005.00532.x>,
  graph regularization, and the alternating direction method of multipliers of Boyd
  et al. (2011) <https://doi.org/10.1561/2200000016>. The package provides graph-regularized
  estimation, spatially blocked cross-validation, prediction, diagnostics, and simulation
  helpers for global-local spatial quantile regression.
authors:
- family-names: Hou
  given-names: Houjian
  email: beidaihe77@qq.com
preferred-citation:
  type: manual
  title: 'sssvcqr: Sparse-Smooth Spatially Varying Coefficient Quantile Regression'
  authors:
  - family-names: Hou
    given-names: Houjian
    email: beidaihe77@qq.com
  year: '2026'
  url: https://github.com/Stork343/sssvcqr
  notes: R package version 0.0.3
repository: https://cran.r-universe.dev
repository-code: https://github.com/Stork343/sssvcqr
commit: 6bb7d0e7fbc0dd53320da3066b8cc8da38732bb7
url: https://github.com/Stork343/sssvcqr
date-released: '2026-05-15'
contact:
- family-names: Hou
  given-names: Houjian
  email: beidaihe77@qq.com