Package: tsDyn Type: Package Title: Nonlinear Time Series Models with Regime Switching Version: 11.0.6 Date: 2026-11-02 Authors@R: c(person("Antonio Fabio", "Di Narzo", role = "aut", comment =c(ORCID="0000-0002-4033-5038")), person("Jose Luis", "Aznarte", role = "ctb", comment =c(ORCID="0000-0002-1636-244X"), email = "jlaznarte@dia.uned.es"), person("Matthieu", "Stigler", role = c("aut","cre"), email="Matthieu.Stigler@gmail.com", comment =c(ORCID="0000-0002-6802-4290"))) Depends: R (>= 3.5.0) Imports: mnormt, mgcv, nnet, tseriesChaos, tseries, utils, vars, urca, forecast, MASS, Matrix, foreach, methods, generics Suggests: sm, scatterplot3d, rgl, rugarch, broom, dplyr, stringr, purrr, tibble, tidyr, testthat (>= 3.0.0) Maintainer: Matthieu Stigler Description: 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). License: GPL (>= 2) URL: https://github.com/MatthieuStigler/tsDyn/wiki BugReports: https://github.com/MatthieuStigler/tsDyn/issues RoxygenNote: 7.3.2 LazyData: true Encoding: UTF-8 Config/testthat/edition: 3 NeedsCompilation: yes Packaged: 2026-11-03 23:58:04 UTC; root Author: Antonio Fabio Di Narzo [aut] (ORCID: ), Jose Luis Aznarte [ctb] (ORCID: ), Matthieu Stigler [aut, cre] (ORCID: ) Repository: https://cran.r-universe.dev Date/Publication: 2026-11-03 21:20:39 UTC RemoteUrl: https://github.com/cran/tsDyn RemoteRef: HEAD RemoteSha: 2dfe55628d9bdf3aeac81034600e98774b1fdd15