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trendsegmentR  

Linear Trend Segmentation
View on CRAN: Click here


Download and install trendsegmentR package within the R console
Install from CRAN:
install.packages("trendsegmentR")

Install from Github:
library("remotes")
install_github("cran/trendsegmentR")

Install by package version:
library("remotes")
install_version("trendsegmentR", "1.3.2")



Attach the package and use:
library("trendsegmentR")
Maintained by
Hyeyoung Maeng
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-05-03
Latest Update: 2023-08-24
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.
How to cite:
Hyeyoung Maeng (2019). trendsegmentR: Linear Trend Segmentation. R package version 1.3.2, https://cran.r-project.org/web/packages/trendsegmentR. Accessed 05 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:15), 1.0.0 (2019-05-03 17:20), 1.1.0 (2021-11-19 08:30), 1.2.0 (2023-06-22 01:00), 1.3.0 (2023-08-24 13:20), 1.3.1 (2026-01-08 16:20)
Other packages that cited trendsegmentR R package
View trendsegmentR citation profile
Other R packages that trendsegmentR depends, imports, suggests or enhances
Complete documentation for trendsegmentR
Functions, R codes and Examples using the trendsegmentR R package
Some associated functions: TGUW . invTGUW . thresholding . trendsegment . trendsegmentR-package . 
Some associated R codes: TGUW.R . invTGUW.R . misc.R . thresholding.R . trendsegment.R . trendsegmentR-package.R .  Full trendsegmentR package functions and examples
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