Package: geostatsp
Type: Package
Title: Geostatistical Modelling with Likelihood and Bayes
Version: 2.0.6
Date: 2024-02-20
Depends: Matrix, terra, R (>= 3.5.0)
Imports: abind, numDeriv, methods, stats
Suggests: RandomFields, parallel, mapmisc, ellipse, pracma, knitr
Enhances: 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://www.wim.uni-mannheim.de/schlather/publications/software>.
License: GPL
NeedsCompilation: yes
VignetteBuilder: knitr
Packaged: 2024-02-20 15:28:43 UTC; patrick
Author: Patrick Brown [aut, cre, cph]
Maintainer: Patrick Brown <patrick.brown@utoronto.ca>
Repository: CRAN
Date/Publication: 2024-02-20 22:50:07 UTC
Built: R 4.5.0; aarch64-apple-darwin20; 2025-01-21 10:41:38 UTC; unix
Archs: geostatsp.so.dSYM
