Package: changepoints Type: Package Title: A Collection of Change-Point Detection Methods Version: 1.1.0 Date: 2022-08-25 Authors@R: c( person("Haotian", "Xu", email="haotian.xu@uclouvain.be", 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 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: . 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: 7.2.1 Encoding: UTF-8 URL: https://github.com/HaotianXu/changepoints VignetteBuilder: knitr NeedsCompilation: yes Packaged: 2026-10-13 11:04:14 UTC; root Author: Haotian Xu [aut, cre], Oscar Padilla [aut], Daren Wang [aut], Mengchu Li [aut], Qin Wen [ctb] Repository: https://cran.r-universe.dev Date/Publication: 2022-09-04 13:30:08 UTC RemoteUrl: https://github.com/cran/changepoints RemoteRef: HEAD RemoteSha: 2dd2969c2840521f7b2d060617a57994f910724c