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gmGeostats: Geostatistics for Compositional Analysis

Support for geostatistical analysis of multivariate data, in particular data with restrictions, e.g. positive amounts, compositions, distributional data, microstructural data, etc. It includes descriptive analysis and modelling for such data, both from a two-point Gaussian perspective and multipoint perspective. The methods mainly follow Tolosana-Delgado, Mueller and van den Boogaart (2018) <doi:10.1007/s11004-018-9769-3>.

Version: 0.11.3
Depends: R (≥ 2.10)
Imports: methods, gstat, compositions (≥ 2.0), sp, boot, foreach, utils, RColorBrewer
Suggests: FNN, JADE, jointDiag, DescTools, knitr, rmarkdown (≥ 2.3), magrittr, readxl
Published: 2023-04-18
Author: Raimon Tolosana-Delgado ORCID iD [aut], Ute Mueller [aut], K. Gerald van den Boogaart [ctb, cre], Hassan Talebi [ctb, cph], Helmholtz-Zentrum Dresden-Rossendorf [cph], Edith Cowan University [cph]
Maintainer: K. Gerald van den Boogaart <support at boogaart.de>
License: CC BY-SA 4.0 | GPL-2 | GPL-3 [expanded from: CC BY-SA 4.0 | GPL (≥ 2)]
Copyright: (C) 2020 by Helmholtz-Zentrum Dresden-Rossendorf and Edith Cowan University; gsi.DS code by Hassan Talebi
URL: https://codebase.helmholtz.cloud/geomet/gmGeostats
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: gmGeostats results

Documentation:

Reference manual: gmGeostats.pdf
Vignettes: Multivariate geostatistics with gmGeostats
How to register new layer datatypes

Downloads:

Package source: gmGeostats_0.11.3.tar.gz
Windows binaries: r-devel: gmGeostats_0.11.3.zip, r-release: gmGeostats_0.11.3.zip, r-oldrel: gmGeostats_0.11.3.zip
macOS binaries: r-release (arm64): gmGeostats_0.11.3.tgz, r-oldrel (arm64): gmGeostats_0.11.3.tgz, r-release (x86_64): gmGeostats_0.11.3.tgz, r-oldrel (x86_64): gmGeostats_0.11.3.tgz
Old sources: gmGeostats archive

Linking:

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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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