Package: geostatsp
Type: Package
Title: Geostatistical Modelling with Likelihood and Bayes
Version: 2.1.1
Date: 2026-08-05
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 (>= 2)
Encoding: UTF-8
URL: https://diseasemapping.r-forge.r-project.org/,
        https://r-forge.r-project.org/projects/diseasemapping/
BugReports: https://r-forge.r-project.org/projects/diseasemapping/
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: 3591
Repository/R-Forge/DateTimeStamp: 2026-08-05 18:24:59
Date/Publication: 2026-08-05 18:24:59
Packaged: 2026-08-05 18:44:18 UTC; rforge
Built: R 4.6.1; x86_64-w64-mingw32; 2026-08-05 18:50:27 UTC; windows
Archs: x64
