Package: geostatsp
Type: Package
Title: Geostatistical Modelling with Likelihood and Bayes
Version: 1.7.8
Date: 2019-04-16
Depends: Matrix (>= 1.2.0), raster, sp, R (>= 3.0.0)
Imports: abind, numDeriv, methods, stats
Suggests: RandomFields (>= 3.3.4), rgdal, parallel, mapmisc, ellipse,
        pracma, knitr
Enhances: INLA, diseasemapping, geoR, rgeos, mvtnorm
LinkingTo: Matrix
Additional_repositories: https://inla.r-inla-download.org/R/testing
Author: Patrick Brown <patrick.brown@utoronto.ca>[aut, cre], Robert Hijmans [ctb]
Maintainer: Patrick Brown <patrick.brown@utoronto.ca>
Description: Geostatistical modelling facilities using Raster and SpatialPoints
    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>.
License: GPL
NeedsCompilation: yes
VignetteBuilder: knitr
RoxygenNote: 5.0.1
Repository: CRAN
Repository/R-Forge/Project: diseasemapping
Repository/R-Forge/Revision: 2142
Repository/R-Forge/DateTimeStamp: 2019-04-16 13:35:34
Date/Publication: 2019-04-16 16:42:52 UTC
Packaged: 2019-04-16 14:12:55 UTC; rforge
Built: R 3.6.1; x86_64-conda_cos6-linux-gnu; 2019-12-04 19:32:16 UTC; unix
