Package: L2hdchange
Type: Package
Date: 2023-07-19
Title: L2 Inference for Change Points in High-Dimensional Time Series
Version: 1.0
Authors@R: c(
    person("Jiaqi", "Li", email = "lijiaqi@wustl.edu", role = "aut"),
    person("Likai", "Chen", email = "likai.chen@wustl.edu", role = "aut"),
    person("Weining", "Wang", email = "weining.wang@york.ac.uk", role = "aut"),
    person("Wei Biao", "Wu", email = "wbwu@galton.uchicago.edu", role = "aut"),
    person("Rui", "Lin", email = "ruilin1081@gmail.com", role = "cre"))
Maintainer: Rui Lin <ruilin1081@gmail.com>
Description: Provides a method for detecting multiple change points in high-dimensional time
    series, targeting dense or spatially clustered signals. See Li et al. (2023) 
    "L2 Inference for Change Points in High-Dimensional Time Series via a Two-Way MOSUM". 
    arXiv preprint <arXiv:2208.13074>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2023-07-19 16:54:45 UTC; rl1081
Author: Jiaqi Li [aut],
  Likai Chen [aut],
  Weining Wang [aut],
  Wei Biao Wu [aut],
  Rui Lin [cre]
Repository: CRAN
Date/Publication: 2023-07-20 11:20:04 UTC
Built: R 4.6.0; ; 2026-04-25 19:56:52 UTC; unix
