Coarse-to-Fine Spatial and Spatio-Temporal Modeling
Overview
Provides functions for coarse-to-fine spatial and spatio-temporal modeling, enabling fast prediction, regression, and uncertainty quantification for moderate to large datasets. For methodological details, see Murakami et al. (2026) doi:10.1111/gean.70034 and related work on generalized linear, downscaling, and dynamic spatio-temporal extensions.
- Tests only: the
predict()tests compared predictions made in different batches for exact identity. With an alternative BLAS (BLIS, OpenBLAS) the matrix products of different sizes are evaluated in a different order, so the results agree only up to rounding (about 1e-16); they are now compared with a tolerance of 1e-10. No change to the package code.
From NEWS.md in the release
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Package metadata
- First published
- 2026-01-19
- Total releases
- 7 / 1 yrs
- License
- GPL (>= 2) OSI
- Download size
- 1.9 MB
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