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offlineChange
View on CRAN: Click
here
Download and install offlineChange package within the R console
Install from CRAN:
install.packages("offlineChange")
Install from Github:
library("remotes")
install_github("cran/offlineChange") Install by package version:
library("remotes")
install_version("offlineChange", "0.0.4") Attach the package and use:
library("offlineChange")
Maintained by
Jiahuan Ye
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-07-15
Latest Update: 2020-04-20
Description:
Detect the number and locations of change points. The locations can be either exact or in terms of ranges,
depending on the available computational resource. The method is based on Jie Ding, Yu Xiang, Lu Shen, Vahid Tarokh (2017) .
How to cite:
Jiahuan Ye (2019). offlineChange: Detect Multiple Change Points from Time Series. R package version 0.0.4, https://cran.r-project.org/web/packages/offlineChange. Accessed 10 Mar. 2026.
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imports, suggests or enhances
Complete documentation for offlineChange
Functions, R codes and Examples using
the offlineChange R package
Some associated functions: ChangePoints . ChangePointsPlot . GetLogLik . GetMle . GetMleAr . MultiWindow . OrderKmeans . OrderKmeansCpp . PeakRange . PriorRangeOrderKmeans . PriorRangeOrderKmeansCpp . RangeToPoint . ScorePlot .
Some associated R codes: RcppExports.R . change_detection_multi_window.R . get_change_point.R . get_mle.R . min_within_segment_loss.R . peak_range.R . prior_range.R . visualization.R . Full offlineChange package functions and examples
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