Package: npwbs
Type: Package
Title: Nonparametric Multiple Change Point Detection Using Wild Binary
        Segmentation
Version: 1.0
Authors@R: person(given = c("Gordon", "J."),
                  family = "Ross",
                  role = c("aut", "cre"),
                  email = "gordon.ross@ed.ac.uk")
Author: Gordon J. Ross [aut, cre]
Maintainer: Gordon J. Ross <gordon.ross@ed.ac.uk>
Description: Implements nonparametric multiple change-point detection
        for univariate sequences using Wild Binary Segmentation, as
        described in Ross (2026) "Nonparametric Detection of Multiple
        Location-Scale Change Points via Wild Binary Segmentation"
        <doi:10.48550/arXiv.2107.01742>. The package provides
        Mann--Whitney, Mood, Lepage, Cramér--von Mises, modified
        Baumgartner, standardised Zhang Z_C, and standardised
        Anderson--Darling rank-based statistics, together with
        method-specific thresholds for controlling the probability of
        incorrectly detecting a change point in a homogeneous sequence.
Depends: R (>= 4.0.0)
Imports: digest, Rcpp
LinkingTo: Rcpp
License: GPL-3
Encoding: UTF-8
NeedsCompilation: yes
Config/npwbs/Development-Status: M=1000 calibrations imported
Packaged: 2026-10-07 10:05:33 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2026-10-06 10:33:34 UTC
RemoteUrl: https://github.com/cran/npwbs
RemoteRef: HEAD
RemoteSha: 8e174ce6501c79042ccfab2fc2634d96a4564703