Spatial Deformation and Dimension Expansion Gaussian Processes R package deform version 1.0.1 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. Software Depends: R (>= 3.5.0) Imports: Rcpp (>= 1.0.10), MASS LinkingTo: Rcpp, RcppArmadillo Suggests: lattice, gridExtra Ben Youngman <b.youngman@exeter.ac.uk> Comprehensive R Archive Network (CRAN) Ben Youngman [aut, cre] (ORCID: <https://orcid.org/0000-0003-0215-8189>) GPL-3 2025-10-13 application/tgz https://CRAN.R-project.org/package=deform doi:10.32614/CRAN.package.deform