CPAT: andrews_test – R documentation

Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!

andrews_test

Univariate Andrews Test for End-of-Sample Structural Change

Description

This implements Andrews' test for end-of-sample change, as described by Andrews (2003). This test was derived for detecting a change in univariate data. See (Andrews 2003) for a description of the test.

Usage

andrews_test(x, M, pval = TRUE, stat = TRUE)

Arguments

`x`	Vector of the data to test
`M`	Numeric index of the location of the first potential change point
`pval`	If `TRUE`, return a p-value
`stat`	If `TRUE`, return a test statistic

Value

If both pval and stat are TRUE, a list containing both; otherwise, a number for one or the other, depending on which is TRUE

References

Andrews DWK (2003). “End-of-Sample Instability Tests.” Econometrica, 71(6), 1661–1694. ISSN 00129682, 14680262, https://www.jstor.org/stable/1555535.

Examples

CPAT:::andrews_test(rnorm(1000), M = 900)

CPAT

Change Point Analysis Tests

v0.1.0

MIT + file LICENSE

Authors

Curtis Miller [aut, cre]

Initial release

2018-12-06