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r-tsdyn

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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).

Installation

To install this package, run one of the following:

Conda
$conda install conda-forge::r-tsdyn

Usage Tracking

11.0.5.2
11.0.4.1
11.0.4
3 / 8 versions selected
Downloads (Last 6 months): 0

About

Summary

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).

Last Updated

Nov 28, 2024 at 09:14

License

GPL-2.0-or-later

Total Downloads

20.8K

Supported Platforms

macOS-64
win-64
linux-64