not

R package not. Provides efficient implementation of the Narrowest-Over-Threshold methodology for detecting an unknown number of change-points occurring at unknown locations in one-dimensional data following ’deterministic signal + noise’ model. Currently implemented scenarios are: piecewise-constant signal, piecewise-constant signal with a heavy-tailed noise, piecewise-linear signal, piecewise-quadratic signal, piecewise-constant signal and with piecewise-constant variance of the noise.

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References in zbMATH (referenced in 1 article )

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  1. Fryzlewicz, Piotr: Wild binary segmentation for multiple change-point detection (2014)