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:	2023-06-02
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
CRAN checks:	StatDA results

Documentation:

Reference manual:

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

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