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.