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 [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-devel: mcgf_1.1.0.zip, r-release: mcgf_1.1.0.zip, r-oldrel: mcgf_1.1.0.zip
macOS binaries:	r-release (arm64): mcgf_1.1.0.tgz, r-oldrel (arm64): mcgf_1.1.0.tgz, r-release (x86_64): mcgf_1.1.0.tgz, r-oldrel (x86_64): mcgf_1.1.0.tgz
Old sources:	mcgf archive

Linking:

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