RobStatTM: Robust Statistics: Theory and Methods

Companion package for the book: "Robust Statistics: Theory and Methods, second edition", <>. This package contains code that implements the robust estimators discussed in the recent second edition of the book above, as well as the scripts reproducing all the examples in the book.

Version: 1.0.0
Depends: R (≥ 3.0.2), fit.models
Imports: stats, graphics, utils, methods, DEoptimR, pyinit, rrcov, robustbase, shiny, shinyjs, PerformanceAnalytics, DT, ggplot2, gridExtra, robust, xts
Suggests: knitr
Published: 2019-04-23
Author: Matias Salibian-Barrera [cre], Victor Yohai [aut], Ricardo Maronna [aut], Doug Martin [aut], Gregory Brownson [aut] (ShinyUI), Kjell Konis [aut], Kjell Konis [cph] (erfi), Christophe Croux [ctb] (WBYlogreg, BYlogreg), Gentiane Haesbroeck [ctb] (WBYlogreg, BYlogreg), Martin Maechler [cph] (,, lmrob.S), Manuel Koller [cph] (, .vcov.avar1, lmrob.S, lmrob.lar), Matias Salibian-Barrera [aut]
Maintainer: Matias Salibian-Barrera <matias at>
License: GPL (≥ 3)
NeedsCompilation: yes
Materials: README
CRAN checks: RobStatTM results


Reference manual: RobStatTM.pdf
Vignettes: Shiny Interface to RobStatTM
Package source: RobStatTM_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: RobStatTM_1.0.0.tgz, r-oldrel: RobStatTM_1.0.0.tgz


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