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 [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

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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