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.

Version:	1.3.0
Published:	2023-08-24
Author:	Hyeyoung Maeng [aut, cre], Piotr Fryzlewicz [aut]
Maintainer:	Hyeyoung Maeng <hyeyoung.maeng at durham.ac.uk>
License:	GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation:	no
CRAN checks:	trendsegmentR results

Documentation:

Reference manual:

trendsegmentR.pdf

Downloads:

Package source:	trendsegmentR_1.3.0.tar.gz
Windows binaries:	r-prerel: trendsegmentR_1.3.0.zip, r-release: trendsegmentR_1.3.0.zip, r-oldrel: trendsegmentR_1.3.0.zip
macOS binaries:	r-prerel (arm64): trendsegmentR_1.3.0.tgz, r-release (arm64): trendsegmentR_1.3.0.tgz, r-oldrel (arm64): trendsegmentR_1.3.0.tgz, r-prerel (x86_64): trendsegmentR_1.3.0.tgz, r-release (x86_64): trendsegmentR_1.3.0.tgz
Old sources:	trendsegmentR archive

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