swMATH ID: 16502
Software Authors: Rafal Baranowski, Yining Chen, Piotr Fryzlewicz
Description: 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.
Homepage: https://cran.r-project.org/web/packages/not/index.html
Source Code:  https://github.com/cran/not
Dependencies: R
Keywords: CRAN; R package; Narrowest-Over-Threshold; Change-Point Detection
Related Software: wbs; changepoint; R; stepR; FDRSeg; Segmentor3IsBack; cumSeg; CRAN; ecp; strucchange; mosum; cpm; breakfast; changepoint.np; fpop; IDetect; basta; HSMUCE; mscp; plot3D
Cited in: 7 Publications

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