Package: changepoints
Type: Package
Title: A Collection of Change-Point Detection Methods
Version: 1.0.0
Date: 2021-12-09
Authors@R: c(
    person("Haotian", "Xu", email="haotian.xu@warwick.ac.uk", role=c("aut","cre")),
    person("Oscar", "Padilla", email="oscar.madrid@stat.ucla.edu", role="aut"),
    person("Daren", "Wang", email="dwang24@nd.edu", role="aut"),
    person("Mengchu", "Li", email="Mengchu.Li@warwick.ac.uk", role="aut"),
    person("Qin", "Wen", role="ctb")
    )
Maintainer: Haotian Xu <haotian.xu@warwick.ac.uk>
Description: Performs a series of offline and/or online change-point detection algorithms for 1) univariate mean; 2) univariate polynomials; 3) univariate and multivariate nonparametric settings; 4) high-dimensional covariances; 5) high-dimensional networks with and without missing values; 6) high-dimensional linear regression models; 7) high-dimensional vector autoregressive models; 8) high-dimensional self exciting point processes; 9) dependent dynamic nonparametric random dot product graphs; 10) univariate mean against adversarial attacks. For more informations, see <arXiv:1810.09498>; <arXiv:2006.03283>; <arXiv:2007.09910>; <arXiv:1905.10019>; <arXiv:1910.13289>; <arXiv:1712.09912>; <arXiv:1809.09602>; <arXiv:1911.07494>; <arXiv:2101.05477>; <arXiv:2010.10410>; <arXiv:1909.06359>; <arXiv:2006.03572>; <arXiv:2110.06450>; <arXiv:2105.10417>.
Depends: R (>= 3.5.0)
Imports: stats, gglasso, glmnet, ks, MASS, data.tree, Rcpp
Suggests: knitr, abind, DiagrammeR, rmarkdown
LinkingTo: Rcpp, RcppArmadillo
License: GPL (>= 3)
RoxygenNote: 7.1.2
Encoding: UTF-8
URL: https://github.com/HaotianXu/changepoints
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2021-12-10 12:35:45 UTC; haotian
Author: Haotian Xu [aut, cre],
  Oscar Padilla [aut],
  Daren Wang [aut],
  Mengchu Li [aut],
  Qin Wen [ctb]
Repository: CRAN
Date/Publication: 2021-12-10 15:30:02 UTC
Built: R 4.0.5; x86_64-w64-mingw32; 2022-04-21 08:58:58 UTC; windows
Archs: i386, x64
