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offlineChange: Detect Multiple Change Points from Time Series

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) <doi:10.1109/TSP.2017.2711558>.

Version: 0.0.4
Depends: R (≥ 3.5.0)
Imports: graphics, utils, stats, methods, Rcpp (≥ 1.0.1)
LinkingTo: Rcpp
Suggests: knitr, rmarkdown
Published: 2020-04-20
Author: Jiahuan Ye [aut, trl, cre], Jie Ding [aut]
Maintainer: Jiahuan Ye <jiahuanye431 at gmail.com>
License: GPL-3
NeedsCompilation: yes
Materials: README
CRAN checks: offlineChange results

Documentation:

Reference manual: offlineChange.pdf
Vignettes: User Guide for 'offlineChange' R package

Downloads:

Package source: offlineChange_0.0.4.tar.gz
Windows binaries: r-devel: offlineChange_0.0.4.zip, r-release: offlineChange_0.0.4.zip, r-oldrel: offlineChange_0.0.4.zip
macOS binaries: r-release (arm64): offlineChange_0.0.4.tgz, r-oldrel (arm64): offlineChange_0.0.4.tgz, r-release (x86_64): offlineChange_0.0.4.tgz, r-oldrel (x86_64): offlineChange_0.0.4.tgz
Old sources: offlineChange archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=offlineChange to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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