Estimation, prediction, and simulation of nonstationary Gaussian process with modular covariate-based covariance functions. Sources of nonstationarity, such as spatial mean, variance, geometric anisotropy, smoothness, and nugget, can be considered based on spatial characteristics. An induced compact-supported nonstationary covariance function is provided, enabling fast and memory-efficient computations when handling densely sampled domains.
Version: | 0.1.4 |
Depends: | R (≥ 3.5.0) |
Imports: | Rcpp (≥ 1.0.10), spam (≥ 2.9.1), fields, optimParallel, methods, knitr |
LinkingTo: | Rcpp, BH |
Published: | 2024-12-12 |
DOI: | 10.32614/CRAN.package.cocons |
Author: | Federico Blasi [aut, cre], Reinhard Furrer [ctb] |
Maintainer: | Federico Blasi <federico.blasi at gmail.com> |
BugReports: | https://github.com/blasif/cocons/issues |
License: | GPL (≥ 3) |
NeedsCompilation: | yes |
Materials: | NEWS |
CRAN checks: | cocons results |
Reference manual: | cocons.pdf |
Vignettes: |
cocons-vignette (source) |
Package source: | cocons_0.1.4.tar.gz |
Windows binaries: | r-devel: cocons_0.1.3.zip, r-release: cocons_0.1.3.zip, r-oldrel: cocons_0.1.4.zip |
macOS binaries: | r-release (arm64): cocons_0.1.4.tgz, r-oldrel (arm64): cocons_0.1.4.tgz, r-release (x86_64): cocons_0.1.4.tgz, r-oldrel (x86_64): cocons_0.1.4.tgz |
Old sources: | cocons archive |
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