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Questions? Look at the small FAQ page or on the archive of the Mailing list, where you can also ask directly.
tsDyn is a R package for modelling non-linear time series. It features following models:
- AR: standard linear AR (auto-regressive)
- SETAR: self-exciting threshold AR
- LSTAR: Logistic smooth transition AR
- NNET: neural-network
- AAR: additive AR
- Linear VAR and VECM
- Threshold VAR (TVAR) and VECM (TVECM), with threshold cointegration (bi-variate systems only)
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Univariate test of linearity against:
-linearity against SETAR: test of Hansen 1999, setarTest
-linearity against LSTAR:
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Bivariate test of cointegration against threshold cointegration (Hansen and Seo 2002) TVECM.HStest()
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Bivariate test of no cointegration against threshold cointegration (Seo 2006) TVECM.SeoTest()
The code is hosted on Matthieu's github, see https://github.com/MatthieuStigler/tsDyn/. And some cases, you will be interested in the development version, which is hosted under the branch Dev94: https://github.com/MatthieuStigler/tsDyn/tree/Dev94. To install from Dev94, do (will need to install Rtools on Windows):
library(devtools)
install_github("tsDyn", ref="Dev94", username="MatthieuStigler", subdir="tsDyn")