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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:

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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.