# sssvcqr 0.0.4

- 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.
