multibreakeR: 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) <doi:10.1111/1467-937X.00051>.

Package details

AuthorLoic Marechal [cre, aut]
MaintainerLoic Marechal <loic.marechal@unil.ch>
LicenseGPL
Version0.1.0
URL https://github.com/loicym/multibreakeR
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("multibreakeR")

Try the multibreakeR package in your browser

Any scripts or data that you put into this service are public.

multibreakeR documentation built on May 31, 2023, 6:06 p.m.