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strucchange: An R Package for Testing for Structural Change in Linear Regression Models

Achim Zeileis (), Friedrich Leisch, Kurt Hornik and Christian Kleiber

Journal of Statistical Software, 2002, vol. 007, issue i02

Abstract: This paper reviews tests for structural change in linear regression models from the generalized fluctuation test framework as well as from the F test (Chow test) framework. It introduces a unified approach for implementing these tests and presents how these ideas have been realized in an R package called strucchange. Enhancing the standard significance test approach the package contains methods to fit, plot and test empirical fluctuation processes (like CUSUM, MOSUM and estimates-based processes) and to compute, plot and test sequences of F statistics with the supF , aveF and expF test. Thus, it makes powerful tools available to display information about structural changes in regression relationships and to assess their significance. Furthermore, it is described how incoming data can be monitored.

Date: 2002-01-10
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Working Paper: Strucchange: An R package for testing for structural change in linear regression models (2001) Downloads
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Persistent link: https://EconPapers.repec.org/RePEc:jss:jstsof:v:007:i02

DOI: 10.18637/jss.v007.i02

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Journal of Statistical Software is currently edited by Bettina Grün, Edzer Pebesma and Achim Zeileis

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