mcgf: Markov Chain Gaussian Fields Simulation and Parameter Estimation

Simulating and estimating (regime-switching) Markov chain Gaussian fields with covariance functions of the Gneiting class (Gneiting 2002) <doi:10.1198/016214502760047113>. It supports parameter estimation by weighted least squares and maximum likelihood methods, and produces Kriging forecasts and intervals for existing and new locations.

Version: 1.1.0
Depends: R (≥ 4.0.0)
Imports: MASS, sp
Suggests: testthat (≥ 3.0.0), doParallel (≥ 1.0.17), foreach (≥ 1.5.2), parallel (≥ 4.3.1), knitr, rmarkdown, lubridate, dplyr, Rsolnp
Published: 2024-04-04
Author: Tianxia Jia ORCID iD [aut, cre, cph]
Maintainer: Tianxia Jia <tianxia.jia at ucalgary.ca>
BugReports: https://github.com/tianxia-jia/mcgf/issues
License: MIT + file LICENSE
URL: https://github.com/tianxia-jia/mcgf, https://tianxia-jia.github.io/mcgf/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: mcgf results

Documentation:

Reference manual: mcgf.pdf
Vignettes: mcgf
mcgf_rs

Downloads:

Package source: mcgf_1.1.0.tar.gz
Windows binaries: r-prerel: mcgf_1.1.0.zip, r-release: mcgf_1.1.0.zip, r-oldrel: mcgf_1.1.0.zip
macOS binaries: r-prerel (arm64): mcgf_1.1.0.tgz, r-release (arm64): mcgf_1.1.0.tgz, r-oldrel (arm64): mcgf_1.1.0.tgz, r-prerel (x86_64): mcgf_1.1.0.tgz, r-release (x86_64): mcgf_1.1.0.tgz
Old sources: mcgf archive

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