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. It supports parameter estimation by weighted least squares and maximum likelihood methods, and produces Kriging forecasts and intervals (Cressie 1993) <doi:10.1002/9781119115151>.

Version: 1.0.1
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: 2024-02-19
Author: Tianxia Jia ORCID iD [aut, cre, cph]
Maintainer: Tianxia Jia <tianxia.jia at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: mcgf results


Reference manual: mcgf.pdf
Vignettes: mcgf


Package source: mcgf_1.0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): mcgf_1.0.1.tgz, r-oldrel (arm64): mcgf_1.0.1.tgz, r-release (x86_64): mcgf_1.0.1.tgz
Old sources: mcgf archive


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