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 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

Downloads:

Package source: mcgf_1.0.1.tar.gz
Windows binaries: r-devel: mcgf_1.0.1.zip, r-release: mcgf_1.0.1.zip, r-oldrel: mcgf_1.0.1.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mcgf to link to this page.