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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).

copied from cf-staging / r-tsdyn
Type Size Name Uploaded Downloads Labels
conda 3.6 MB | win-64/r-tsdyn-11.0.5.2-r44h11b023d_0.conda  3 months and 23 days ago 392 main
conda 3.6 MB | osx-64/r-tsdyn-11.0.5.2-r44h79f565e_0.conda  3 months and 23 days ago 225 main
conda 3.6 MB | win-64/r-tsdyn-11.0.5.2-r43h11b023d_0.conda  3 months and 23 days ago 394 main
conda 3.6 MB | osx-64/r-tsdyn-11.0.5.2-r43h79f565e_0.conda  3 months and 23 days ago 257 main
conda 3.6 MB | linux-64/r-tsdyn-11.0.5.2-r44h2b5f3a1_0.conda  3 months and 23 days ago 528 main
conda 3.6 MB | linux-64/r-tsdyn-11.0.5.2-r43h2b5f3a1_0.conda  3 months and 23 days ago 525 main

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