Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Raoul Grasman, Han L.J. van der Maas, Eric-Jan Wagenmakers
Title: Fitting the Cusp Catastrophe in R: A cusp Package Primer
Abstract: Of the seven elementary catastrophes in catastrophe theory, the "cusp" model is the most widely applied. Most applications are however qualitative. Quantitative techniques for catastrophe modeling have been developed, but so far the limited availability of flexible software has hindered quantitative assessment. We present a package that implements and extends the method of Cobb (Cobb and Watson 1980; Cobb, Koppstein, and Chen 1983), and makes it easy to quantitatively fit and compare different cusp catastrophe models in a statistically principled way. After a short introduction to the cusp catastrophe, we demonstrate the package with two instructive examples.

Page views:: 6093. Submitted: 2008-11-10. Published: 2009-11-09.
Paper: Fitting the Cusp Catastrophe in R: A cusp Package Primer     Download PDF (Downloads: 5605)
Supplements:
cusp_2.2.tar.gz: R source package Download (Downloads: 1052; 1MB)
v32i08.R: R example code from the paper Download (Downloads: 1020; 1KB)
DOI: 10.18637/jss.v032.i08

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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.