deform: Spatial Deformation and Dimension Expansion Gaussian Processes
Methods for fitting nonstationary Gaussian process models by spatial deformation, as introduced by Sampson and Guttorp (1992) <doi:10.1080/01621459.1992.10475181>, and by dimension expansion, as introduced by Bornn et al. (2012) <doi:10.1080/01621459.2011.646919>. Low-rank thin-plate regression splines, as developed in Wood, S.N. (2003) <doi:10.1111/1467-9868.00374>, are used to either transform co-ordinates or create new latent dimensions.
Version: |
1.0.0 |
Depends: |
R (≥ 3.5.0) |
Imports: |
Rcpp (≥ 1.0.10), MASS |
LinkingTo: |
Rcpp, RcppArmadillo |
Suggests: |
lattice, gridExtra |
Published: |
2023-10-19 |
Author: |
Ben Youngman
[aut, cre] |
Maintainer: |
Ben Youngman <b.youngman at exeter.ac.uk> |
License: |
GPL-3 |
NeedsCompilation: |
yes |
CRAN checks: |
deform results [issues need fixing before 2025-10-23] |
Documentation:
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