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trendsegmentR (version 1.3.2)

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.

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Version

Install

install.packages('trendsegmentR')

Monthly Downloads

497

Version

1.3.2

License

GPL

Maintainer

Hyeyoung Maeng

Last Published

January 16th, 2026

Functions in trendsegmentR (1.3.2)

thresholding

Noise reduction from the sequence of detail coefficients returned by the Tail-Greedy Unbalanced Wavelet (TGUW) transformation
invTGUW

Inverse Tail-Greedy Unbalanced Wavelet (TGUW) transformation
trendsegmentR-package

trendsegmentR: Linear Trend Segmentation
TGUW

Tail-Greedy Unbalanced Wavelet (TGUW) transformation of a vector
trendsegment

Detecting linear trend changes for univariate time series