Tests for a Structural Change in Multivariate Time Series

Flexible implementation of a structural change point detection algorithm for multivariate time series. It authorizes inclusion of trends, exogenous variables, and break test on the intercept or on the full vector autoregression system. Bai, Lumsdaine, and Stock (1998) .


"# multibreakeR"

This package implements, in a flexible way, the algorithm of Bai, Lumsdaine, and Stock (1998). It authorizes inclusion of trends, exogeneous covariates and break test on the intercept or on the full VAR.

Reference manual

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install.packages("multibreakeR")

0.1.0 by Loic Marechal, 3 years ago


https://github.com/loicym/multibreakeR


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


Authors: Loic Marechal [cre, aut]


Documentation:   PDF Manual  


GPL license


Imports dplyr, ggplot2, reshape2, rlang, scales, stats

Suggests knitr, rmarkdown, roxygen2, testthat


See at CRAN