Package: npwbs
Type: Package
Title: Nonparametric Multiple Change Point Detection Using Wild Binary
        Segmentation
Version: 0.5.0
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, and standardised
    Zhang Z_C 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
Packaged: 2026-08-01 01:57:53 UTC; rosss
Repository: CRAN
Date/Publication: 2026-08-04 08:50:07 UTC
Built: R 4.5.3; x86_64-w64-mingw32; 2026-09-01 11:13:12 UTC; windows
Archs: x64
