The Iterative Cumulative Sum of Squares (ICSS) algorithm by Inclan/Tiao (1994) <https://www.jstor.org/stable/2290916> detects multiple change points, i.e. structural break points, in the variance of a sequence of independent observations. For series of moderate size (i.e. 200 observations and beyond), the ICSS algorithm offers results comparable to those obtained by a Bayesian approach or by likelihood ration tests, without the heavy computational burden required by these approaches.
Version: | 1.0 |
Depends: | R (≥ 3.5.0) |
Imports: | rstack |
Suggests: | testthat |
Published: | 2020-06-02 |
Author: | Siegfried Köstlmeier [aut, cre, cph] |
Maintainer: | Siegfried Köstlmeier <siegfried.koestlmeier at gmail.com> |
License: | GPL-2 |
NeedsCompilation: | no |
CRAN checks: | ICSS results |
Reference manual: | ICSS.pdf |
Package source: | ICSS_1.0.tar.gz |
Windows binaries: | r-devel: ICSS_1.0.zip, r-release: ICSS_1.0.zip, r-oldrel: ICSS_1.0.zip |
macOS binaries: | r-release: ICSS_1.0.tgz, r-oldrel: ICSS_1.0.tgz |
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