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.
Strucchange: An R package for testing for structural change in linear regression models
A. Zeileis,F. Leisch,K. Hornik,Christian Kleiber
Published 2002 in Journal of Statistical Software
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- Publication year
2002
- Venue
Journal of Statistical Software
- Publication date
2002-01-10
- Fields of study
Mathematics, Computer Science
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