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spconform 0.1.2

• Bug Fixes & Robustness:
  • Resolved single-query coordinate vector bug in scp_geostatistical(): 1D coordinate vectors passed as s0 are now properly coerced to a 1-row coordinate matrix matching training dimensions.
  • Fixed graphics layout warning in plot.spconform_diagnose(): replaced uneven matrix dimension recycling with an explicit layout matrix when n_panels = 3, preventing duplicate panel drawing.
  • Added strict input validations in scp_geostatistical() and scp_areal() guarding against missing (NA) values in coordinates and responses.
  • Added length validation and na.rm support in coverage_report() to prevent silent vector recycling errors.
• Performance & Computational Efficiency:
  • Optimized default spatial bandwidth computation in scp_geostatistical(): bandwidth is now evaluated once prior to the query loop rather than recomputed per target location, yielding up to a 50x speedup on large query grids.
  • Added representative spatial subsampling for bandwidth evaluation when calibration size \(N > 1000\), keeping memory footprint strictly bounded.
  • Added optional k_neighbors argument to scp_geostatistical() for localized \(k\)-NN calibration, defaulting to NULL for complete backward compatibility.
• Statistical Enhancements:
  • coverage_report() now evaluates and reports the strictly proper Winkler Interval Score (winkler_score) alongside empirical coverage and mean interval width.

spconform 0.1.1

• Enhanced S3 generics and methods for spconform objects:
  • Added predict.spconform() to extract point predictions or prediction intervals (fit, lwr, upr).
  • Added residuals.spconform() to compute raw response residuals or absolute calibration scores.
  • Added as.data.frame.spconform() to coerce conformal objects into tidy data frames.
• Enhanced spatial diagnostics:
  • diagnose() now returns a classed spconform_diagnose object with dedicated print.spconform_diagnose() and plot.spconform_diagnose() methods.
  • Added Moran’s \(I\) test on prediction residuals and conformal hit/miss indicators.
• Documentation and code compliance:
  • Replaced all non-English code comments with English comments in R/scp_areal.R for full ASCII compliance.
  • Standardized all Rd help page titles to Title Case style.
  • Updated citation metadata to Mao, Martin, and Reich (JASA 2024).

spconform 0.1.0

• Initial release of spconform on CRAN.
• Implemented locally weighted split conformal prediction for geostatistical (point-referenced) data (scp_geostatistical()).
• Implemented neighbourhood-weighted leave-one-out conformal prediction for areal (lattice) data (scp_areal()).
• Added kernel weighting utilities for spatial and spatio-temporal predictions (spatial_kernel_weights(), areal_neighbor_weights()).
• Implemented comprehensive spatial diagnostic tools and multi-panel visualization (diagnose()).
• Included S3 methods for printing, summarizing, and plotting conformal prediction intervals (print(), summary(), plot(), coverage_report()).

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.