This package contains the Robust Library version 0.4

Contributors:

Jeff Wang <jwang@statsci.com>
Ruben Zamar <ruben@stat.ubc.ca>
Alfio Marazzi <Alfio.Marazzi@inst.hospvd.ch>
Victor Yohai <vyohai@dm.uba.ar>
Matias Salibian-Barrera	<matias@stat.ubc.ca>
Ricardo Maronna <maron@mate.unlp.edu.ar>
Eric Zivot <ezivot@u.washington.edu>
David Rocke <dmrocke@ucdavis.edu>
Doug Martin <doug@statsci.com>
Kjell Konis <kjell.konis@icloud.com>

---------------

This package contains the following robust methods:

  Robust Covariance estimation (scatter and location)
  Robust Linear Regression
  Robust Generalized Linear Models
  Robust Gamma, Weibull, and lognormal parameter estimation

A method for side-by-side comparison of robust and classical models is also
provided.  Please see Robust.pdf for further details.

To do: (port from S-Plus to R)

  #Robust ANOVA
  #Robust Principal Component Analysis


