eNchange swMATH ID: 33923 Software Authors: Karolos K. Korkas Description: R package eNchange: Ensemble Methods for Multiple Change-Point Detection. Implements a segmentation algorithm for multiple change-point detection in univariate time series using the Ensemble Binary Segmentation of Korkas (2020) <arXiv:2003.03649>. Homepage: https://cran.r-project.org/web/packages/eNchange/index.html Source Code: https://github.com/cran/eNchange Dependencies: R Keywords: Methodology; arXiv_stat.ME; R; R package; multiple change-point detection; conditional duration models; Binary Segmentation; ensemble methods; non-stationarity Related Software: R; CRAN; basta; wbsts; wbs Cited in: 1 Publication Standard Articles 2 Publications describing the Software, including 1 Publication in zbMATH Year Ensemble binary segmentation for irregularly spaced data with change-points. Zbl 1485.62121Korkas, Karolos K. 2022 Ensemble Binary Segmentation for irregularly spaced data with change-points Karolos K. Korkas 2020 Cited by 1 Author 1 Korkas, Karolos K. Cited in 1 Serial 1 Journal of the Korean Statistical Society Cited in 1 Field 1 Statistics (62-XX) Citations by Year