NEWS

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sssvcqr 0.0.3

• Updated graph construction to use sparse k-nearest-neighbor matrices.
• Enforced degree-weighted centering constraints in the ADMM delta updates through sparse KKT solves.
• Added known-truth simulation outputs, selection-recovery summaries, expanded numerical tests, and improved plot colorbars.
• Added root-level JSS replication materials for synthetic, blocked-CV, comparison, and Lucas County sample examples.

sssvcqr 0.0.2

• Strengthened input validation, fold-wise adaptive-weight estimation in blocked cross-validation, and inverse-distance extrapolation for predict(..., k > 1).
• Added a reproducible comparison section for the JSS replication material.

sssvcqr 0.0.1

• Initial package scaffold for sparse-smooth spatially varying coefficient quantile regression.
• Added ADMM fitting, prediction, spatially blocked cross-validation, graph construction, simulation helpers, and KKT diagnostics.
• Added tests, vignettes, a Lucas County sample data set, CI configuration, contribution guidelines, and a JOSS paper draft.
• Added a standard plot() method for fitted model objects in line with JSS expectations for R packages returning compound objects.