trendsegmentR swMATH ID: 29264 Software Authors: Maeng, Hyeyoung; Fryzlewicz, Piotr Description: R package trendsegmentR: Linear Trend Segmentation and Point Anomaly Detection. Performs the detection of point anomalies and linear trend changes for univariate time series by implementing the bottom-up unbalanced wavelet transformation proposed by H. Maeng and P. Fryzlewicz (2019) <http://personal.lse.ac.uk/maengh/>. The estimated number and locations of the change-points are returned with the piecewise-linear estimator for signal. Homepage: https://cran.r-project.org/web/packages/trendsegmentR/index.html Source Code: https://github.com/cran/trendsegmentR Dependencies: R Keywords: arXiv_stat.ME; R; R package; Trend Segmentation; Point Anomaly Detection; CRAN; wavelets; piecewise-linear signal; arXiv_publication Related Software: cpop; R; changepoint; anomaly; GitHub; breakfast; cghseg; wbs; nsp; changepoints; CRAN Cited in: 3 Documents Standard Articles 2 Publications describing the Software, including 1 Publication in zbMATH Year Detecting linear trend changes in data sequences. Zbl 07887496Maeng, Hyeyoung; Fryzlewicz, Piotr Detecting linear trend changes and point anomalies in data sequences arXiv Hyeyoung Maeng, Piotr Fryzlewicz 2019 all top 5 Cited by 7 Authors 1 Anastasiou, Andreas 1 Chatterjee, Sabyasachi 1 Fryzlewicz, Piotr 1 Maeng, Hyeyoung 1 Papanastasiou, Angelos 1 Xu, Haotian 1 Yu, Yi Cited in 3 Serials 1 Statistical Papers 1 Electronic Journal of Statistics 1 Statistics and Computing Cited in 1 Field 3 Statistics (62-XX) Citations by Year