High-Performance Open-Source Archive
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 |
| In views: | AnomalyDetection |
| CRAN checks: | StatDA results |
| Reference manual: | StatDA.html , StatDA.pdf |
| 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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