not 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 all top 5 Cited by 11 Authors 4 Fryzlewicz, Piotr 2 Baranowski, Rafal 2 Chen, YiNing 1 Descloux, Pascaline 1 Levajković, Tijana 1 Madrid-Padilla, Oscar-Hernan 1 Messer, Michael 1 Rinaldo, Alessandro 1 Sardy, Sylvain 1 Wang, Daren 1 Yu, Yi all top 5 Cited in 6 Serials 2 Electronic Journal of Statistics 1 The Annals of Statistics 1 Statistica Sinica 1 Journal of the Royal Statistical Society. Series B. Statistical Methodology 1 Journal of the Korean Statistical Society 1 Journal of Computational and Graphical Statistics Cited in 2 Fields 7 Statistics (62-XX) 1 Probability theory and stochastic processes (60-XX) Citations by Year