NEWS
sssvcqr 0.0.4 (2026-05-15)
- Addressed CRAN feedback from the 0.0.3 submission. Removed the
https://stork343.github.io/sssvcqr/ URL from DESCRIPTION and from
README.md because the corresponding pkgdown site has not yet been
deployed to GitHub Pages; the URL will be reinstated in a future release
once the site is live. Replaced the relative [LICENSE](LICENSE) link
in README.md with a plain-text reference to the file shipped with the
package.
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 top-level JSS replication materials for synthetic, blocked-CV,
comparison, Lucas County package-sample examples, and full-data Lucas County
context checks.
- Added a
jss-submission/ manuscript snapshot for source-archive review while
excluding it from the R package tarball.
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.