npwbs: Nonparametric Multiple Change Point Detection Using Wild Binary
Segmentation
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, and modified Baumgartner rank-based
statistics, together with method-specific thresholds for controlling
the probability of incorrectly detecting a change point in a homogeneous
sequence.
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