Implementations self-normalization (SN) based algorithms for change-points estimation in time series data. This comprises nested local-window algorithms for detecting changes in both univariate and multivariate time series developed in Zhao, Jiang and Shao (2022) <doi:10.1111/rssb.12552>.
Version: | 1.0.3 |
Depends: | R (≥ 3.5.0), stats, utils, graphics |
Imports: | Rcpp, mvtnorm |
LinkingTo: | Rcpp |
Suggests: | rmarkdown, knitr |
Published: | 2024-06-02 |
DOI: | 10.32614/CRAN.package.SNSeg |
Author: | Shubo Sun [aut], Zifeng Zhao [aut, cre], Feiyu Jiang [aut], Xiaofeng Shao [aut] |
Maintainer: | Zifeng Zhao <zzhao2 at nd.edu> |
License: | GPL (≥ 3) |
NeedsCompilation: | yes |
CRAN checks: | SNSeg results |
Reference manual: | SNSeg.pdf |
Vignettes: |
SNSeg |
Package source: | SNSeg_1.0.3.tar.gz |
Windows binaries: | r-devel: SNSeg_1.0.3.zip, r-release: SNSeg_1.0.3.zip, r-oldrel: SNSeg_1.0.3.zip |
macOS binaries: | r-release (arm64): SNSeg_1.0.3.tgz, r-oldrel (arm64): SNSeg_1.0.3.tgz, r-release (x86_64): SNSeg_1.0.3.tgz, r-oldrel (x86_64): SNSeg_1.0.3.tgz |
Old sources: | SNSeg archive |
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