Performs a series of offline and/or online changepoint detection algorithms for 1) univariate mean: <doi:10.1214/20EJS1710>, <arXiv:2006.03283>; 2) univariate polynomials: <doi:10.1214/21EJS1963>; 3) univariate and multivariate nonparametric settings: <doi:10.1214/21EJS1809>, <doi:10.1109/TIT.2021.3130330>; 4) highdimensional covariances: <doi:10.3150/20BEJ1249>; 5) highdimensional networks with and without missing values: <doi:10.1214/20AOS1953>, <arXiv:2101.05477>, <arXiv:2110.06450>; 6) highdimensional linear regression models: <arXiv:2010.10410>, <arXiv:2207.12453>; 7) highdimensional vector autoregressive models: <arXiv:1909.06359>; 8) highdimensional self exciting point processes: <arXiv:2006.03572>; 9) dependent dynamic nonparametric random dot product graphs: <arXiv:1911.07494>; 10) univariate mean against adversarial attacks: <arXiv:2105.10417>.
Package details 


Author  Haotian Xu [aut, cre], Oscar Padilla [aut], Daren Wang [aut], Mengchu Li [aut], Qin Wen [ctb] 
Maintainer  Haotian Xu <haotian.xu@uclouvain.be> 
License  GPL (>= 3) 
Version  1.1.0 
URL  https://github.com/HaotianXu/changepoints 
Package repository  View on CRAN 
Installation 
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