Methods for robust statistics, a state of the art in the early 2000s, notably for robust regression and robust multivariate analysis.
| Version: | 0.5-0.0 |
| Depends: | fit.models |
| Imports: | graphics, stats, utils, lattice, MASS, robustbase, rrcov |
| Published: | 2020-03-08 |
| Author: | Jiahui Wang, Ruben Zamar, Alfio Marazzi, Victor Yohai, Matias Salibian-Barrera, Ricardo Maronna, Eric Zivot, David Rocke, Doug Martin, Martin Maechler, Kjell Konis. |
| Maintainer: | Valentin Todorov <valentin.todorov at chello.at> |
| License: | GPL-2 |
| Copyright: | see file COPYRIGHTS |
| NeedsCompilation: | yes |
| Materials: | README |
| In views: | Robust |
| CRAN checks: | robust results |
| Reference manual: | robust.pdf |
| Package source: | robust_0.5-0.0.tar.gz |
| Windows binaries: | r-devel: robust_0.5-0.0.zip, r-release: robust_0.5-0.0.zip, r-oldrel: robust_0.5-0.0.zip |
| macOS binaries: | r-release: robust_0.5-0.0.tgz, r-oldrel: robust_0.5-0.0.tgz |
| Old sources: | robust archive |
| Reverse imports: | adventr, lolR, RobMixReg |
| Reverse suggests: | broom, CerioliOutlierDetection, robustbase |
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