Package: ICSS 1.1

ICSS: ICSS Algorithm by Inclan/Tiao (1994)

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.

Authors:Siegfried Köstlmeier [aut, cre, cph]

ICSS_1.1.tar.gz
ICSS_1.1.zip(r-4.5)ICSS_1.1.zip(r-4.4)ICSS_1.1.zip(r-4.3)
ICSS_1.1.tgz(r-4.4-any)ICSS_1.1.tgz(r-4.3-any)
ICSS_1.1.tar.gz(r-4.5-noble)ICSS_1.1.tar.gz(r-4.4-noble)
ICSS_1.1.tgz(r-4.4-emscripten)ICSS_1.1.tgz(r-4.3-emscripten)
ICSS.pdf |ICSS.html
ICSS/json (API)

# Install 'ICSS' in R:
install.packages('ICSS', repos = c('https://skoestlmeier.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/skoestlmeier/icss/issues

Datasets:
  • data - Sample data for Inclan/Tiao

On CRAN:

statisticsstructural-break-testvariance

3.18 score 1 stars 4 scripts 148 downloads 3 mentions 1 exports 2 dependencies

Last updated 3 years agofrom:fa77e9f5d7. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 10 2024
R-4.5-winNOTENov 10 2024
R-4.5-linuxNOTENov 10 2024
R-4.4-winNOTENov 10 2024
R-4.4-macNOTENov 10 2024
R-4.3-winNOTENov 10 2024
R-4.3-macNOTENov 10 2024

Exports:ICSS

Dependencies:R6rstack