An R Package for Change Point Localisation
copied from cf-staging / r-changepointsPerforms a series of offline and/or online change-point localisation algorithms for
univariate mean Wang, Yu and Rinaldo (2020) Yu, Padilla, Wang and Rinaldo (2020) univariate polynomials Yu, Chatterjee and Xu (2021) univariate and multivariate nonparametric settings Padilla, Yu, Wang and Rinaldo (2021) Padilla, Yu, Wang and Rinaldo (2021) high-dimensional covariances Wang, Yu and Rinaldo (2021) high-dimensional networks with and without missing values Wang, Yu and Rinaldo (2021) Yu, Padilla, Wang and Rinaldo (2021) Dubey, Xu and Yu (2021) high-dimensional linear regression models Rinaldo, Wang, Wen, Willett and Yu (2021) Xu, Wang, Zhao, and Yu (2022) high-dimensional vector autoregressive models Wang, Yu, Rinaldo and Willett (2019) high-dimensional self exciting point processes Wang, Yu and Willett (2020) dependent dynamic nonparametric random dot product graphs Padilla, Yu and Priebe (2019) robust univariate mean against adversarial attacks Li and Yu (2021)
