trendsegmentR swMATH ID: 29264 Software Authors: Hyeyoung Maeng, Piotr Fryzlewicz 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: R; CRAN Cited in: 0 Documents Standard Articles 1 Publication describing the Software Year Detecting linear trend changes and point anomalies in data sequences Hyeyoung Maeng, Piotr Fryzlewicz 2019