L2 Inference for Change Points in High-Dimensional Time Series

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 .


Reference manual

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install.packages("L2hdchange")

1.0 by Rui Lin, 3 years ago


Browse source code at https://github.com/cran/L2hdchange


Authors: Jiaqi Li [aut] , Likai Chen [aut] , Weining Wang [aut] , Wei Biao Wu [aut] , Rui Lin [cre]


Documentation:   PDF Manual  


GPL (>= 3) license



See at CRAN