The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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 |
| Reference manual: | 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 |
Please use the canonical form https://CRAN.R-project.org/package=StatDA to link to this page.
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.