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robust: Port of the S+ "Robust Library"

Methods for robust statistics, a state of the art in the early 2000s, notably for robust regression and robust multivariate analysis.

Version: 0.7-5
Depends: fit.models
Imports: graphics, stats, utils, lattice, MASS, robustbase, rrcov
Published: 2024-08-17
DOI: 10.32614/CRAN.package.robust
Author: Jiahui Wang [aut], Ruben Zamar [aut], Alfio Marazzi [aut], Victor Yohai [aut], Matias Salibian-Barrera [aut], Ricardo Maronna [aut], Eric Zivot [aut], David Rocke [aut], Doug Martin [aut], Martin Maechler [aut], Kjell Konis [aut], Valentin Todorov [aut, cre]
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

Documentation:

Reference manual: robust.pdf

Downloads:

Package source: robust_0.7-5.tar.gz
Windows binaries: r-devel: robust_0.7-5.zip, r-release: robust_0.7-5.zip, r-oldrel: robust_0.7-5.zip
macOS binaries: r-release (arm64): robust_0.7-5.tgz, r-oldrel (arm64): robust_0.7-5.tgz, r-release (x86_64): robust_0.7-5.tgz, r-oldrel (x86_64): robust_0.7-5.tgz
Old sources: robust archive

Reverse dependencies:

Reverse imports: adventr, GeoDiff, lolR, mmiCATs, outliers.ts.oga, RobMixReg, robustvarComp
Reverse suggests: broom, clarify, marginaleffects, robustbase
Reverse enhances: texreg

Linking:

Please use the canonical form https://CRAN.R-project.org/package=robust 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.
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