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].