gmGeostats: Geostatistics for Compositional Analysis

Support for geostatistical analysis of multivariate data, in particular data with restrictions, e.g. positive amounts data, compositional data, 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: 0.10-6
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: 2020-09-16
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://www.r-project.org, http://www.stat.boogaart.de
NeedsCompilation: yes
Materials: README
CRAN checks: gmGeostats results

Downloads:

Reference manual: gmGeostats.pdf
Vignettes: Multivariate geostatistics with gmGeostats
Package source: gmGeostats_0.10-6.tar.gz
Windows binaries: r-devel: gmGeostats_0.10-6.zip, r-release: gmGeostats_0.10-6.zip, r-oldrel: gmGeostats_0.10-6.zip
macOS binaries: r-release: not available, r-oldrel: gmGeostats_0.10-6.tgz

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