This is the Debian GNU/Linux r-cran-robustbase package of robustbase,
a package for GNU R that aims to provide 'essential' robust
statistics. Robusttools was written by Valentin Todorov, Andreas
Ruckstuhl, Matias Salibian-Barrera and Martin Maechler based on code
by Peter Rousseeuw and Christophe Croux and others, and is maintained
by Martin Maechler.
This package was created by Dirk Eddelbuettel <edd@debian.org>. The
sources were downloaded from CRAN at
http://cran.r-project.org/src/contrib/
The package was renamed from its upstream name 'robustbase' to
'r-cran-robustbase' to fit the pattern of CRAN (and non-CRAN) packages for
R.
Copyright (C) 2006 - 2008 Peter Rousseeuw, Christophe Croux, Valentin Todorov, \
Andreas Ruckstuhl, Matias Salibian-Barrera \
and Martin Maechler
License: GPL
On a Debian GNU/Linux system, the GPL license is included in the file
/usr/share/common-licenses/GPL.
For reference, the upstream DESCRIPTION [indented two spaces]
file is included below:
Package: robustbase
Version: 0.2-8
Date: 2007-06-20
Title: Basic Robust Statistics
Author: Original code by many authors, notably
Peter Rousseeuw and Christophe Croux, see file 'Copyrights';
Valentin Todorov <valentin.todorov@chello.at>,
Andreas Ruckstuhl <rks@zhwin.ch>,
Matias Salibian-Barrera <matias@stat.ubc.ca>, Martin Maechler
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>
NOTE: SEVERAL PARTS ARE STILL PRELIMINARY AND MAY BE CHANGED IN THE FUTURE.
THIS TYPICALLY INCLUDES ARGUMENT NAMES,
DEFAULTS FOR ARGUMENTS AND RETURN VALUES.
Description: "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.
Depends: R (>= 2.2.1), stats, graphics, methods
Suggests: MASS
LazyLoad: yes
LazyData: yes
License: GPL version 2 or later
Packaged: Wed Jun 20 16:00:33 2007; maechler
The (upstream file) inst/Copyrights is included in its entirety here
too [ and also indented two spaces ]
The C code for Qn() and Sn(), src/qnsn.c is based on Fortran code
that has been be available from
http://www.agoras.ua.ac.be/ (Antwerp Group On Robust & Applied Statistics)
(-> Programs -> Robust)
by {at the time}
Peter Rousseeuw (rousse@wins.uia.ac.be)
Christophe Croux (croux@wins.uia.ac.be)
Department of Mathematics and Computing
Universitaire Instelling Antwerpen
Universiteitsplein 1
B-2610 Wilrijk (Antwerp)
Belgium
and carries the note
This file contains fortran functions for two new robust estimators
of scale denoted as Qn and Sn, decribed in Rousseeuw and Croux (1993).
These estimators have a high breakdown point and a bounded influence
function. The implementation given here is very fast (running in
O(n logn) time) and needs little storage space.
Rousseeuw, P.J. and Croux, C. (1993)
Alternatives to the Median Absolute Deviation",
Journal of the American Statistical Association, Vol. 88, 1273-1283.
This software may be used and copied freely for scientific
and/or non-commercial purposes, provided reference is made
to the above mentioned paper.
where as Martin Maechler got explicit permission from P.Rousseeuw to
licence it under the GNU Public Licence.
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