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tseriesTARMA: Analysis of Nonlinear Time Series Through Threshold
Autoregressive Moving Average Models (TARMA) Models
Routines for nonlinear time series analysis based on Threshold Autoregressive Moving Average (TARMA) models. It provides functions and methods for: TARMA model fitting and forecasting, including robust estimators, see Goracci et al. JBES (2025) <doi:10.1080/07350015.2024.2412011>; tests for threshold effects, see Giannerini et al. JoE (2024) <doi:10.1016/j.jeconom.2023.01.004>, Goracci et al. Statistica Sinica (2023) <doi:10.5705/ss.202021.0120>, Angelini et al. (2024) <doi:10.48550/arXiv.2308.00444>; unit-root tests based on TARMA models, see Chan et al. Statistica Sinica (2024) <doi:10.5705/ss.202022.0125>.
| Version: |
0.5-1 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
methods, stats, Rsolnp, lbfgsb3c, Matrix, Rdpack, mathjaxr, rugarch, zoo, fitdistrplus |
| Suggests: |
knitr, rmarkdown |
| Published: |
2024-10-08 |
| DOI: |
10.32614/CRAN.package.tseriesTARMA |
| Author: |
Simone Giannerini 
[aut, cre],
Greta Goracci
[aut] |
| Maintainer: |
Simone Giannerini <simone.giannerini at uniud.it> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| Copyright: |
see file COPYRIGHTS |
| NeedsCompilation: |
yes |
| Materials: |
README NEWS |
| In views: |
TimeSeries |
| CRAN checks: |
tseriesTARMA results |
Documentation:
Downloads:
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.