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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: | 1.0.2 |
| Depends: | R (≥ 3.5.0), stats, utils, graphics |
| Imports: | Rcpp, mvtnorm, truncnorm, evd |
| LinkingTo: | Rcpp |
| Suggests: | rmarkdown, knitr |
| Published: | 2024-03-08 |
| 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_1.0.2.tar.gz |
| Windows binaries: | r-devel: SNSeg_1.0.2.zip, r-release: SNSeg_1.0.2.zip, r-oldrel: SNSeg_1.0.2.zip |
| macOS binaries: | r-release (arm64): SNSeg_1.0.2.tgz, r-oldrel (arm64): SNSeg_1.0.2.tgz, r-release (x86_64): SNSeg_1.0.2.tgz, r-oldrel (x86_64): SNSeg_1.0.2.tgz |
| Old sources: | SNSeg archive |
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