magp 0.8.0

• Prepared the two-dimensional and full-mapping models for the first CRAN release.
• Added a consistent predict() interface, including plug-in predictive uncertainty, for both fitted model classes.
• Moved the main covariance, gradient, and cross-covariance calculations to C++ with Rcpp.
• Added automatic input checks and reusable scaling for quantitative inputs.
• Set the default nugget variance to tau = 0.001.

magp 0.7.0

• Renamed the package to magp.
• Added two-dimensional and full-mapping MaGP models.
• Added matching predict() methods for both fitted model classes.
• Used Rcpp for covariance, gradient, and cross-covariance calculations.
• Added automatic input-role detection, sequence-permutation checks, and stored min-max scaling for quantitative inputs outside [0, 1].