robustbase: Basic Robust Statistics

"Essential" Robust Statistics. The goal is to provide tools allowing to analyze data with robust methods. This includes regression methodology including model selections and multivariate statistics where we strive to cover the book "Robust Statistics, Theory and Methods" by Maronna, Martin and Yohai; Wiley 2006.

Version: 0.9-1
Depends: R (≥ 2.13.0), stats, graphics, methods
Suggests: grid, MASS, lattice, boot, cluster, Matrix, MPV, xtable, ggplot2, RColorBrewer, reshape2
Published: 2012-05-14
Author: Original code by many authors, notably Peter Rousseeuw and Christophe Croux, see file 'Copyrights'; Valentin Todorov, Andreas Ruckstuhl, Matias Salibian-Barrera, Tobias Verbeke, Manuel Koller, Martin Maechler
Maintainer: Martin Maechler <maechler at stat.math.ethz.ch>
License: GPL (≥ 2)
URL: http://robustbase.r-forge.r-project.org/
Citation: robustbase citation info
In views: Multivariate, Robust, SocialSciences
CRAN checks: robustbase results

Downloads:

Package source: robustbase_0.9-1.tar.gz
MacOS X binary: robustbase_0.9-1.tgz
Windows binary: robustbase_0.9-1.zip
Reference manual: robustbase.pdf
Vignettes: Simulations for Robust Regression Inference in Small Samples
News/ChangeLog:ChangeLog
Old sources: robustbase archive

Reverse dependencies:

Reverse depends: chemometrics, compositions, cvTools, ergm, fAssets, fPortfolio, GeoXp, Metabonomic, MKmisc, muma, mvoutlier, qpcR, robCompositions, robfilter, robust, RobustAFT, robustHD, robustX, rrcov, sdcMicro, StatDA, VIM
Reverse imports: ChemoSpec, cvTools, pcalg, rrcovNA, sdcMicro, shotGroups, VIM
Reverse suggests: depth, ICS, multcomp, PerformanceAnalytics, robustfa, rsae, RTAQ, timeSeries