Package: SNSeg
Title: Self-Normalization(SN) Based Change-Point Estimation for Time
        Series
Version: 1.0.3
Authors@R: 
    c(person("Shubo","Sun",role=c("aut"),email = "sxs3935@miami.edu"),
      person("Zifeng","Zhao",role = c("aut","cre"),email = "zzhao2@nd.edu"),
      person(given = "Feiyu",family = "Jiang",role = c("aut"),email = "jiangfy@fudan.edu.cn"),
      person("Xiaofeng",family = "Shao",role = c("aut"),email = "xshao@illinois.edu")
      )
Description: 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>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Depends: R (>= 3.5.0), stats, utils, graphics
LinkingTo: Rcpp
Imports: Rcpp, mvtnorm
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-06-02 14:42:16 UTC; sxs3935
Author: Shubo Sun [aut],
  Zifeng Zhao [aut, cre],
  Feiyu Jiang [aut],
  Xiaofeng Shao [aut]
Maintainer: Zifeng Zhao <zzhao2@nd.edu>
Repository: CRAN
Date/Publication: 2024-06-02 20:10:02 UTC
Built: R 4.6.0; x86_64-w64-mingw32; 2025-10-14 00:59:53 UTC; windows
Archs: x64
