Nonlinear Time Series Models with Regime Switching

Implements nonlinear autoregressive (AR) time series models. For univariate series, a non-parametric approach is available through additive nonlinear AR. Parametric modeling and testing for regime switching dynamics is available when the transition is either direct (TAR: threshold AR) or smooth (STAR: smooth transition AR, LSTAR). For multivariate series, one can estimate a range of TVAR or threshold cointegration TVECM models with two or three regimes. Tests can be conducted for TVAR as well as for TVECM (Hansen and Seo 2002 and Seo 2006).

tsDyn

Package tsDyn implements a variety of non-linear time series models. To read more about it, look at:

• the wiki
• the FAQ

Installation

You can install the released version of tsDyn from CRAN with:

install.packages("tsDyn")

Development version

You can download the version from github using:

library(remotes)
remotes::install_github("MatthieuStigler/tsDyn")