robustbase (0.9-7)

2 users

Basic Robust Statistics.

http://robustbase.r-forge.r-project.org/
http://cran.r-project.org/web/packages/robustbase

"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.

Maintainer: Martin Maechler
Author(s): Original code by many authors, notably Peter Rousseeuw and Christophe Croux, see file 'Copyrights'; Valentin Todorov <valentin.todorov@chello.at>, Andreas Ruckstuhl <andreas.ruckstuhl@zhaw.ch>, Matias Salibian-Barrera <matias@stat.ubc.ca>, Tobias Verbeke <tobias.verbeke@openanalytics.eu>, Manuel Koller <koller@stat.math.ethz.ch>, Martin Maechler

License: GPL (>= 2)

Uses: MPV, Matrix, RColorBrewer, boot, cluster, ggplot2, lattice, xtable, sfsmisc, MASS, reshape2
Reverse depends: chemometrics, ChemoSpec, compositions, cvTools, ddalpha, ergm, fAssets, fPortfolio, fSeries, GeoXp, hotspots, MBmca, Metabonomic, MKmisc, muma, mvoutlier, pcalg, perry, qpcR, robCompositions, robfilter, robust, RobustAFT, robustfa, robustgam, robustHD, robustlmm, robustloggamma, robustX, rrcov, sdcMicro, StatDA, tergm, VIM
Reverse suggests: depth, ergm, fpc, highfrequency, ICS, multcomp, PerformanceAnalytics, robustfa, rsae, RTAQ, timeSeries

Released 3 months ago.


17 previous versions

Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of robustbase yet. Want to be the first? Write one now.


Related packages: MASS, car, covRobust, dr, gmodels, Hmisc, ltm, Matrix, mice, mitools, mix, MNP, mvoutlier, pan, polycor, pls, psy, rrcov, sem, quantreg(20 best matches, based on common tags.)


Search for robustbase on google, google scholar, r-help, r-devel.

Visit robustbase on R Graphical Manual.