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cocons: Covariate-Based Covariance Functions for Nonstationary SpatialModeling

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:0.1.5
Depends:R (≥ 3.5.0)
Imports:Rcpp (≥ 1.0.10),spam (≥ 2.9.1),fields,optimParallel, methods,knitr
LinkingTo:Rcpp,BH
Published:2025-12-10
DOI:10.32614/CRAN.package.cocons
Author:Federico BlasiORCID iD [aut, cre], Reinhard FurrerORCID iD [ctb]
Maintainer:Federico Blasi <federicoblasi at gmail.com>
BugReports:https://github.com/blasif/cocons/issues
License:GPL (≥ 3)
NeedsCompilation:yes
Materials:NEWS
CRAN checks:cocons results

Documentation:

Reference manual:cocons.html ,cocons.pdf
Vignettes:cocons-vignette (source)

Downloads:

Package source: cocons_0.1.5.tar.gz
Windows binaries: r-devel:cocons_0.1.4.zip, r-release:cocons_0.1.5.zip, r-oldrel:cocons_0.1.5.zip
macOS binaries: r-release (arm64):cocons_0.1.5.tgz, r-oldrel (arm64):cocons_0.1.5.tgz, r-release (x86_64):cocons_0.1.5.tgz, r-oldrel (x86_64):cocons_0.1.5.tgz
Old sources: cocons archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=coconsto link to this page.


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