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Flexible implementation of a structural change point detection algorithm for multivariate time series. It authorizes inclusion of trends, exogenous variables, and break test on the intercept or on the full vector autoregression system. Bai, Lumsdaine, and Stock (1998) <doi:10.1111/1467-937X.00051>.
Version: | 0.1.0 |
Depends: | R (≥ 3.5.0) |
Imports: | dplyr, ggplot2, reshape2, rlang (≥ 0.4.11), scales, stats |
Suggests: | knitr, rmarkdown, roxygen2, testthat (≥ 3.0.0) |
Published: | 2023-05-24 |
DOI: | 10.32614/CRAN.package.multibreakeR |
Author: | Loic Marechal [cre, aut] |
Maintainer: | Loic Marechal <loic.marechal at unil.ch> |
License: | GPL-2 | GPL-3 [expanded from: GPL] |
URL: | https://github.com/loicym/multibreakeR |
NeedsCompilation: | no |
Language: | en-US |
Materials: | README NEWS |
CRAN checks: | multibreakeR results |
Reference manual: | multibreakeR.pdf |
Vignettes: |
multibreakeR |
Package source: | multibreakeR_0.1.0.tar.gz |
Windows binaries: | r-devel: multibreakeR_0.1.0.zip, r-release: multibreakeR_0.1.0.zip, r-oldrel: multibreakeR_0.1.0.zip |
macOS binaries: | r-release (arm64): multibreakeR_0.1.0.tgz, r-oldrel (arm64): multibreakeR_0.1.0.tgz, r-release (x86_64): multibreakeR_0.1.0.tgz, r-oldrel (x86_64): multibreakeR_0.1.0.tgz |
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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.