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 ORCID iD [aut, cre]
Maintainer: Ben Youngman <b.youngman at exeter.ac.uk>
License: GPL-3
NeedsCompilation: yes
CRAN checks: deform results

Documentation:

Reference manual: deform.pdf

Downloads:

Package source: deform_1.0.0.tar.gz
Windows binaries: r-devel: deform_1.0.0.zip, r-release: deform_1.0.0.zip, r-oldrel: deform_1.0.0.zip
macOS binaries: r-release (arm64): deform_1.0.0.tgz, r-oldrel (arm64): deform_1.0.0.tgz, r-release (x86_64): deform_1.0.0.tgz

Linking:

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