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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.

Versions across snapshots

VersionRepositoryFileSize
1.3.2 rolling linux/jammy R-4.5 trendsegmentR_1.3.2.tar.gz 66.1 KiB
1.3.2 rolling linux/noble R-4.5 trendsegmentR_1.3.2.tar.gz 66.1 KiB
1.3.2 rolling source/ R- trendsegmentR_1.3.2.tar.gz 13.1 KiB
1.3.2 latest linux/jammy R-4.5 trendsegmentR_1.3.2.tar.gz 66.1 KiB
1.3.2 latest linux/noble R-4.5 trendsegmentR_1.3.2.tar.gz 66.1 KiB
1.3.2 latest source/ R- trendsegmentR_1.3.2.tar.gz 13.1 KiB
1.3.2 2026-04-26 source/ R- trendsegmentR_1.3.2.tar.gz 13.1 KiB
1.3.2 2026-04-23 source/ R- trendsegmentR_1.3.2.tar.gz 13.1 KiB
1.3.2 2026-04-09 windows/windows R-4.5 trendsegmentR_1.3.2.zip 69.1 KiB
1.3.0 2025-04-20 source/ R- trendsegmentR_1.3.0.tar.gz 13.3 KiB