Geostatistical modelling facilities using 'SpatRaster' and 'SpatVector' objects are provided. Non-Gaussian models are fit using 'INLA', and Gaussian geostatistical models use Maximum Likelihood Estimation. For details see Brown (2015) . The 'RandomFields' package is available at < https://web.archive.org/web/20250719184025/https://www.wim.uni-mannheim.de/schlather/publications/software> and < https://github.com/cran/RandomFields>.
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2.2.0 by Patrick Brown, a month ago
https://diseasemapping.r-forge.r-project.org/, https://r-forge.r-project.org/projects/diseasemapping/
Report a bug at https://r-forge.r-project.org/projects/diseasemapping/
Browse source code at https://github.com/cran/geostatsp
Authors: Patrick Brown [aut, cre, cph]
Documentation: PDF Manual
GPL (>= 2) license
Imports abind, numDeriv, methods, stats
Depends on Matrix, terra
Suggests parallel, mapmisc, pracma, knitr
Enhances ellipse, RandomFields, INLA, diseasemapping, geoR, mvtnorm
Linking to Matrix
See at CRAN