Methods for robust statistics, a state of the art in the early 2000s, notably for robust regression and robust multivariate analysis.
Version: | 0.7-1 |
Depends: | fit.models |
Imports: | graphics, stats, utils, lattice, MASS, robustbase, rrcov |
Published: | 2022-07-08 |
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> |
BugReports: | https://github.com/valentint/robust/issues |
License: | GPL (≥ 3) |
Copyright: | see file COPYRIGHTS |
URL: | https://github.com/valentint/robust |
NeedsCompilation: | yes |
Materials: | README NEWS |
In views: | Robust |
CRAN checks: | robust results |
Reference manual: | robust.pdf |
Package source: | robust_0.7-1.tar.gz |
Windows binaries: | r-devel: robust_0.7-1.zip, r-release: robust_0.7-1.zip, r-oldrel: robust_0.7-1.zip |
macOS binaries: | r-release (arm64): robust_0.7-1.tgz, r-oldrel (arm64): robust_0.7-1.tgz, r-release (x86_64): robust_0.7-1.tgz, r-oldrel (x86_64): robust_0.7-1.tgz |
Old sources: | robust archive |
Reverse imports: | adventr, anomaly, GenomeAdapt, GeoDiff, GRaNIE, lolR, pguIMP, RobMixReg |
Reverse suggests: | broom, CerioliOutlierDetection, marginaleffects, robustbase |
Reverse enhances: | texreg |
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