Package: npwbs 0.2.0

Gordon J. Ross

npwbs: Nonparametric Multiple Change Point Detection Using WBS

Implements the procedure from G. J. Ross (2021) - "Nonparametric Detection of Multiple Location-Scale Change Points via Wild Binary Segmentation" <arxiv:2107.01742>. This uses a version of Wild Binary Segmentation to detect multiple location-scale (i.e. mean and/or variance) change points in a sequence of univariate observations, with a strict control on the probability of incorrectly detecting a change point in a sequence which does not contain any.

Authors:Gordon J. Ross

npwbs_0.2.0.tar.gz
npwbs_0.2.0.tar.gz(r-4.5-noble)npwbs_0.2.0.tar.gz(r-4.4-noble)
npwbs_0.2.0.tgz(r-4.4-emscripten)npwbs_0.2.0.tgz(r-4.3-emscripten)
npwbs.pdf |npwbs.html
npwbs/json (API)

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

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1 exports 0.00 score 0 dependencies 237 downloads

Last updated 3 years agofrom:e61be9176b. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 26 2024
R-4.5-linuxOKAug 26 2024

Exports:detectChanges

Dependencies: