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RChest: Locating Distributional Changes in Highly Dependent Time Series

Provides algorithms to locate multiple distributional change-points in piecewise stationary time series. The algorithms are provably consistent, even in the presence of long-range dependencies. Knowledge of the number of change-points is not required. The code is written in Go and interfaced with R.

Version:1.0.3
Imports:Rdpack,reticulate
Suggests:testthat
Published:2021-02-13
DOI:10.32614/CRAN.package.RChest
Author:Lukas Zierahn [cre, aut], Azadeh Khaleghi [aut]
Maintainer:Lukas Zierahn <lukas at kappa-mm.de>
BugReports:https://github.com/azalk/GoChest/issues
License:GPL-2 |GPL-3 [expanded from: GPL]
URL:https://github.com/azalk/GoChest
NeedsCompilation:no
Materials:README,NEWS
CRAN checks:RChest results

Documentation:

Reference manual:RChest.html ,RChest.pdf

Downloads:

Package source: RChest_1.0.3.tar.gz
Windows binaries: r-devel:RChest_1.0.3.zip, r-release:RChest_1.0.3.zip, r-oldrel:RChest_1.0.3.zip
macOS binaries: r-release (arm64):RChest_1.0.3.tgz, r-oldrel (arm64):RChest_1.0.3.tgz, r-release (x86_64):RChest_1.0.3.tgz, r-oldrel (x86_64):RChest_1.0.3.tgz

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=RChestto link to this page.


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