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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.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.