mcgf: Markov Chain Gaussian Fields Simulation and Parameter Estimation

Simulating and estimating (regime-switching) Markov chain Gaussian fields with spatio-temporal covariance functions of the Gneiting class (Gneiting 2002) <doi:10.1198/016214502760047113>, including the regime-switching framework of Jia and Sezer (2025) <doi:10.1063/5.0285012>. It supports parameter estimation by weighted least squares and approximate conditional maximum likelihood methods, and produces Kriging forecasts and intervals for existing and new locations.

Version:	1.2.0
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:	2026-08-21
DOI:	10.32614/CRAN.package.mcgf
Author:	Tianxia Jia [aut, cre, cph]
Maintainer:	Tianxia Jia <tylarjia at outlook.com>
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.html , mcgf.pdf
Vignettes:	correlation-models (source, R code) forecasting-new-locations (source, R code) mcgf (source, R code) mcgf_rs (source, R code) simulation (source, R code)

Downloads:

Package source:	mcgf_1.2.0.tar.gz
Windows binaries:	r-devel: mcgf_1.2.0.zip, r-release: mcgf_1.2.0.zip, r-oldrel: mcgf_1.2.0.zip
macOS binaries:	r-release (arm64): mcgf_1.2.0.tgz, r-oldrel (arm64): mcgf_1.2.0.tgz, r-release (x86_64): mcgf_1.2.0.tgz, r-oldrel (x86_64): mcgf_1.2.0.tgz
Old sources:	mcgf archive

Linking:

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