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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.