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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).

Type Size Name Uploaded Downloads Labels
conda 1.4 MB | linux-ppc64le/r-tsdyn-0.9_46-r343h1de35cc_0.tar.bz2  6 years and 11 months ago 16 main
conda 1.4 MB | linux-aarch64/r-tsdyn-0.9_46-r343h1de35cc_0.tar.bz2  6 years and 11 months ago 13 main
conda 1.4 MB | linux-armv7l/r-tsdyn-0.9_46-r343h1de35cc_0.tar.bz2  6 years and 11 months ago 14 main
conda 1.4 MB | linux-armv6l/r-tsdyn-0.9_46-r343h1de35cc_0.tar.bz2  6 years and 11 months ago 14 main
conda 1.4 MB | linux-64/r-tsdyn-0.9_46-r343h1de35cc_0.tar.bz2  6 years and 11 months ago 14 main
conda 1.4 MB | linux-32/r-tsdyn-0.9_46-r343h1de35cc_0.tar.bz2  6 years and 11 months ago 16 main
conda 1.4 MB | osx-64/r-tsdyn-0.9_46-r343h1de35cc_0.tar.bz2  6 years and 11 months ago 19 main

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