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 | 
| 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 | 
Please use the canonical form https://CRAN.R-project.org/package=ICSS to link to this page.