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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 krinsman::r-tsdyn

Usage Tracking

0.9_46
1 / 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

May 2, 2018 at 17:32

License

GPL (>= 2)

Total Downloads

124

Supported Platforms

linux-ppc64le
linux-64
linux-aarch64
linux-armv7l
macOS-64
linux-armv6l
linux-32