Self-Normalization(SN) Based Change-Point Estimation for Time Series R package SNSeg version 1.0.3 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>. Software Depends: R (>= 3.5.0), stats, utils, graphics Imports: Rcpp, mvtnorm LinkingTo: Rcpp Suggests: rmarkdown, knitr Zifeng Zhao <zzhao2@nd.edu> Comprehensive R Archive Network (CRAN) Shubo Sun [aut], Zifeng Zhao [aut, cre], Feiyu Jiang [aut], Xiaofeng Shao [aut] GPL (>= 3) 2024-06-02 application/tgz https://CRAN.R-project.org/package=SNSeg doi:10.32614/CRAN.package.SNSeg