Package: geostatsp
Type: Package
Title: Geostatistical Modelling with Likelihood and Bayes
Version: 2.0.12
Date: 2026-02-27
Depends: Matrix, terra, R (>= 3.5.0)
Imports: abind, numDeriv, methods, stats
Suggests: parallel, mapmisc, pracma, knitr
Enhances: ellipse, RandomFields, INLA, diseasemapping, geoR, mvtnorm
LinkingTo: Matrix (>= 1.6-2)
Additional_repositories: https://inla.r-inla-download.org/R/testing
Authors@R: person("Patrick", "Brown", 
                    role = c("aut", "cre","cph"),
                     email = "patrick.brown@utoronto.ca")
Description: 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) <doi:10.18637/jss.v063.i12>. 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>.
License: GPL
NeedsCompilation: yes
VignetteBuilder: knitr
Author: Patrick Brown [aut, cre, cph]
Maintainer: Patrick Brown <patrick.brown@utoronto.ca>
Repository: R-Forge
Repository/R-Forge/Project: diseasemapping
Repository/R-Forge/Revision: 3585
Repository/R-Forge/DateTimeStamp: 2026-03-05 15:32:31
Date/Publication: 2026-03-05 15:32:31
Packaged: 2026-03-05 15:47:06 UTC; rforge
Built: R 4.5.2; x86_64-w64-mingw32; 2026-03-05 15:53:05 UTC; windows
Archs: x64
