Statistical Analysis for Environmental Data [R package StatDA version 1.7.11]

Peter Filzmoser

StatDA: Statistical Analysis for Environmental Data

Statistical analysis methods for environmental data are implemented. There is a particular focus on robust methods, and on methods for compositional data. In addition, larger data sets from geochemistry are provided. The statistical methods are described in Reimann, Filzmoser, Garrett, Dutter (2008, ISBN:978-0-470-98581-6).

Version: 1.7.11

Depends: R (≥ 2.10), methods, sgeostat

Imports: cluster, e1071, MASS, MBA, mgcv, rgl, robustbase, xtable, sp, geoR

Suggests: mclust

Published: 2023年06月02日

DOI: 10.32614/CRAN.package.StatDA

Author: Peter Filzmoser [aut, cre, cph]

Maintainer: Peter Filzmoser <Peter.Filzmoser at tuwien.ac.at>

License: GPL (≥ 3)

URL: http://cstat.tuwien.ac.at/filz/

NeedsCompilation: no

In views: AnomalyDetection

CRAN checks: StatDA results

Documentation:

Reference manual: StatDA.html , StatDA.pdf

Downloads:

Package source: StatDA_1.7.11.tar.gz

Windows binaries: r-devel: StatDA_1.7.11.zip, r-release: StatDA_1.7.11.zip, r-oldrel: StatDA_1.7.11.zip

macOS binaries: r-release (arm64): StatDA_1.7.11.tgz, r-oldrel (arm64): StatDA_1.7.11.tgz, r-release (x86_64): StatDA_1.7.11.tgz, r-oldrel (x86_64): StatDA_1.7.11.tgz

Old sources: StatDA archive

Linking:

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