Package: RiskMap
Type: Package
Title: Geo-Statistical Modeling of Spatially Referenced Data
Version: 0.1.0
Authors@R: 
  c(person(given = "Emanuele",
           family = "Giorgi",
           role = c("aut", "cre"),
           email = "e.giorgi@lancaster.ac.uk",
           comment = c(ORCID = "0000-0003-0640-181X")),
    person(given = "Claudio",
           family = "Fronterre",
           role = "ctb",
           email = "c.fronterr@lancaster.ac.uk",           
           comment = c(ORCID = "0000-0001-6723-9727")))
Description: Provides functions for geo-statistical analysis of both continuous and count data using maximum likelihood methods. The models implemented in the package use stationary Gaussian processes with Matern correlation function to carry out spatial prediction in a geographical area of interest. The underpinning theory of the methods implemented in the package are found in Diggle and Giorgi (2019, ISBN: 978-1-138-06102-7).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.1
URL: https://claudiofronterre.github.io/RiskMap/
Imports: sf, stats, methods, ggplot2, Matrix, maxLik, terra, xtable
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2024-06-24 19:38:38 UTC; giorgi
Author: Emanuele Giorgi [aut, cre] (<https://orcid.org/0000-0003-0640-181X>),
  Claudio Fronterre [ctb] (<https://orcid.org/0000-0001-6723-9727>)
Maintainer: Emanuele Giorgi <e.giorgi@lancaster.ac.uk>
Repository: CRAN
Date/Publication: 2024-06-25 14:40:05 UTC
Built: R 4.3.3; ; 2024-06-25 19:02:25 UTC; unix
