trendsegmentR-package: trendsegmentR: Linear Trend Segmentation
In trendsegmentR: Linear Trend Segmentation
trendsegmentR-package R Documentation
trendsegmentR: Linear Trend Segmentation
Description
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.
Author(s)
Maintainer: Hyeyoung Maeng hyeyoung.maeng@durham.ac.uk
Authors:
Piotr Fryzlewicz p.fryzlewicz@lse.ac.uk
trendsegmentR documentation built on Aug. 24, 2023, 5:07 p.m.
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| trendsegmentR-package | R Documentation |
trendsegmentR: Linear Trend Segmentation
Description
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.
Author(s)
Maintainer: Hyeyoung Maeng hyeyoung.maeng@durham.ac.uk
Authors:
Piotr Fryzlewicz p.fryzlewicz@lse.ac.uk
R Package Documentation
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