Package: npwbs 0.3.0
Gordon J. Ross
npwbs: Nonparametric Multiple Change Point Detection Using Wild Binary Segmentation
Implements a procedure for detecting multiple location-scale change points in a sequence of univariate observations, as described in Ross (2026) "Nonparametric Detection of Multiple Location-Scale Change Points via Wild Binary Segmentation" <doi:10.48550/arXiv.2107.01742>. The method combines Wild Binary Segmentation with a rank-based statistic and provides calibrated thresholds for controlling the probability of incorrectly detecting a change point in a homogeneous sequence.
Authors:
npwbs_0.3.0.tar.gz
npwbs_0.3.0.tar.gz(r-4.7-any)npwbs_0.3.0.tar.gz(r-4.6-any)
npwbs_0.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
npwbs/json (API)
NEWS
| # Install 'npwbs' in R: |
| install.packages('npwbs', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:f16d69a243. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 112 | ||
| source / vignettes | OK | 117 | ||
| linux-release-x86_64 | OK | 119 | ||
| wasm-release | OK | 79 |
Exports:detectChanges
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Nonparametric detection of multiple change points using Wild Binary Segmentation | detectChanges |