Sequential Change Point Detection for High-Dimensional VAR Models

Implements the algorithm introduced in Tian, Y., and Safikhani, A. (2024) , "Sequential Change Point Detection in High-dimensional Vector Auto-regressive Models". This package provides tools for detecting change points in the transition matrices of VAR models, effectively identifying shifts in temporal and cross-correlations within high-dimensional time series data.


Reference manual

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install.packages("VARcpDetectOnline")

0.2.1 by Yuhan Tian, 3 months ago


https://github.com/Helloworld9293/VARcpDetectOnline


Report a bug at https://github.com/Helloworld9293/VARcpDetectOnline/issues


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


Authors: Yuhan Tian [aut, cre] , Abolfazl Safikhani [aut]


Documentation:   PDF Manual  


GPL-2 | file LICENSE license


Imports MASS, corpcor, Matrix, glmnet, doParallel, stats

Suggests ggplot2


See at CRAN