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geoR: Analysis of Geostatistical Data

Geostatistical analysis including variogram-based, likelihood-based and Bayesian methods. Software companion for Diggle and Ribeiro (2007) <doi:10.1007/978-0-387-48536-2>.

Version: 1.9-4
Depends: R (≥ 2.10), stats, methods
Imports: MASS, sp, splancs, graphics, tcltk
Suggests: scatterplot3d, lattice
Published: 2024-02-15
DOI: 10.32614/CRAN.package.geoR
Author: Paulo Justiniano Ribeiro Jr [aut, cre], Peter Diggle [aut, cre], Ole Christensen [ctb], Martin Schlather [ctb], Roger Bivand [ctb], Brian Ripley [ctb]
Maintainer: Paulo Justiniano Ribeiro Jr <paulojus at ufpr.br>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://www.leg.ufpr.br/geoR/
NeedsCompilation: yes
In views: Bayesian, Spatial
CRAN checks: geoR results

Documentation:

Reference manual: geoR.pdf

Downloads:

Package source: geoR_1.9-4.tar.gz
Windows binaries: r-devel: geoR_1.9-4.zip, r-release: geoR_1.9-4.zip, r-oldrel: geoR_1.9-4.zip
macOS binaries: r-release (arm64): geoR_1.9-4.tgz, r-oldrel (arm64): geoR_1.9-4.tgz, r-release (x86_64): geoR_1.9-4.tgz, r-oldrel (x86_64): geoR_1.9-4.tgz
Old sources: geoR archive

Reverse dependencies:

Reverse depends: geotoolsR, spANOVA
Reverse imports: aqfig, BayesDissolution, CensSpatial, NTSS, pompp, SpatFD, StatDA
Reverse suggests: EcoIndR, gamair, gear, GET, insight, npsp, PrevMap, rpanel, variosig
Reverse enhances: geostatsp

Linking:

Please use the canonical form https://CRAN.R-project.org/package=geoR to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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