Published by the Foundation for Open Access Statistics
Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Tools for Exploring Multivariate Data: The Package ICS | Nordhausen | Journal of Statistical Software
Authors: Klaus Nordhausen, Hannu Oja, David E. Tyler
Title: Tools for Exploring Multivariate Data: The Package ICS
Abstract: Invariant coordinate selection (ICS) has recently been introduced as a method for exploring multivariate data. It includes as a special case a method for recovering the unmixing matrix in independent components analysis (ICA). It also serves as a basis for classes of multivariate nonparametric tests, and as a tool in cluster analysis or blind discrimination. The aim of this paper is to briefly explain the (ICS) method and to illustrate how various applications can be implemented using the R package ICS. Several examples are used to show how the ICS method and ICS package can be used in analyzing a multivariate data set.

Page views:: 3961. Submitted: 2008-02-19. Published: 2008-11-10.
Paper: Tools for Exploring Multivariate Data: The Package ICS     Download PDF (Downloads: 3917)
Supplements:
ICS_1.2-0.tar.gz: R source package Download (Downloads: 1235; 555KB)
v28i06.R: R example code from the paper Download (Downloads: 1960; 7KB)
DOI: 10.18637/jss.v028.i06

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.