Package: deform 1.0.0

Ben Youngman

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.

Authors:Ben Youngman [aut, cre]

deform_1.0.0.tar.gz
deform_1.0.0.tar.gz(r-4.5-noble)deform_1.0.0.tar.gz(r-4.4-noble)
deform_1.0.0.tgz(r-4.4-emscripten)deform_1.0.0.tgz(r-4.3-emscripten)
deform.pdf |deform.html✨
deform/json (API)

# Install 'deform' in R:
install.packages('deform', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • solar - Variance-covariance matrix for British Columbia solar radiation data

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 2 scripts 138 downloads 9 exports 3 dependencies

Last updated 1 years agofrom:416a06a219. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKOct 13 2024
R-4.5-linux-x86_64OKOct 13 2024

Exports:anisocencorcencovdeformexpandplot.deformpredict.deformsimulate.deformvariogram

Dependencies:MASSRcppRcppArmadillo