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cocons: Covariate-Based Covariance Functions for Nonstationary Spatial Modeling

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 ORCID iD [aut, cre], Reinhard Furrer ORCID iD [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

Documentation:

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

Downloads:

Package source: cocons_0.1.4.tar.gz
Windows binaries: r-devel: cocons_0.1.4.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

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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