strucchange : An R Package for Testing for Structural Change in Linear Regression Models
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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…
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4Topics & keywords
Topics
Keywords
- R package
- Linear regression
- CUSUM
- Plot (graphics)
- Computer science
- Regression
- Test (biology)
- Chow test
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