Package: trendsegmentR 1.3.0

trendsegmentR: Linear Trend Segmentation

Performs the detection of linear trend changes for univariate time series by implementing the bottom-up unbalanced wavelet transformation proposed by H. Maeng and P. Fryzlewicz (2023). The estimated number and locations of the change-points are returned with the piecewise-linear estimator for signal.

Authors:Hyeyoung Maeng [aut, cre], Piotr Fryzlewicz [aut]

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trendsegmentR/json (API)

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4 exports 1 stars 0.09 score 0 dependencies 3 scripts 391 downloads

Last updated 1 years agofrom:e5eabea297. Checks:OK: 7. Indexed: yes.

Exports:invTGUWTGUWthresholdingtrendsegment

Dependencies: