geostatsp: Geostatistical Modelling with Likelihood and Bayes

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..

Version: 1.2.1
Depends: Matrix, raster, sp, R (≥ 3.0.0)
Imports: abind, numDeriv, pracma, methods
Suggests: geoR, RandomFields, rgdal, parallel, mapmisc, ellipse
Enhances: spatstat, INLA
Published: 2015-02-27
Author: Patrick Brown[aut, cre], Robert Hijmans [ctb]
Maintainer: Patrick Brown <patrick.brown at utoronto.ca>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: yes
Citation: geostatsp citation info
CRAN checks: geostatsp results

Downloads:

Reference manual: geostatsp.pdf
Package source: geostatsp_1.2.1.tar.gz
Windows binaries: r-devel: geostatsp_1.2.1.zip, r-release: geostatsp_1.2.1.zip, r-oldrel: geostatsp_1.2.1.zip
OS X Snow Leopard binaries: r-oldrel: geostatsp_1.2.1.tgz
OS X Mavericks binaries: r-release: geostatsp_1.2.1.tgz
Old sources: geostatsp archive

Reverse dependencies:

Reverse imports: spatsurv
Reverse suggests: diseasemapping