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tseriesTARMA

Analysis of Nonlinear Time Series through Threshold Autoregressive Moving Average Models (TARMA) models

It provides advanced functions for:

  • TARMA model fitting and forecasting:
    • Least Squares fitting of a full subset TARMA model, including robust fitting based on M-estimators.
    • Maximum Likelihood fitting of a subset TARMA model with common MA parts and possible covariates.
  • TARMA testing for threshold type nonlinearity:
    • Tests for AR vs TAR (asymptotic, bootstrap, wild bootstrap)
    • Tests for ARMA vs TARMA with both i.i.d. errors and GARCH errors.
  • Unit-root testing against a stationary TARMA model

Installation

install.packages("tseriesTARMA")

Authors

References

  • Goracci et al. (2025)
  • Angelini et al. (2023)
  • Giannerini, Goracci, and Rahbek (2024)
  • Goracci, Ferrari, et al. (2023)
  • Giannerini, Goracci, and Rahbek (2022)
  • Giannerini and Goracci (2021)
  • Goracci et al. (2021)
  • Goracci, Giannerini, et al. (2023)
  • K.-S. Chan and Goracci (2019)
  • K.-S. Chan et al. (2024)

Angelini, F., M. Castellani, S. Giannerini, and G. Goracci. 2023. “Testing for Threshold Effects in Presence of Heteroskedasticity and Measurement Error with an Application to Italian Strikes.” University of Bologna; Free University of Bolzano. https://arxiv.org/abs/2308.00444.

Chan, K. -S., and G. Goracci. 2019. “On the Ergodicity of First-Order Threshold Autoregressive Moving-Average Processes.” J. Time Series Anal. 40 (2): 256–64.

Chan, K.-S., S. Giannerini, G. Goracci, and H. Tong. 2024. “Testing for Threshold Regulation in Presence of Measurement Error.” Statistica Sinica 34 (3): 1413–34. https://doi.org/10.5705/ss.202022.0125.

Giannerini, S., and G. Goracci. 2021. “Estimating and Forecasting with TARMA Models.” University of Bologna.

Giannerini, S., G. Goracci, and A. Rahbek. 2022. “The Validity of Bootstrap Testing in the Threshold Framework.” arXiv. https://doi.org/10.48550/ARXIV.2201.00028.

———. 2024. “The Validity of Bootstrap Testing in the Threshold Framework.” Journal of Econometrics 239 (1): 105379. https://doi.org/10.1016/j.jeconom.2023.01.004.

Goracci, G., D. Ferrari, S. Giannerini, and F. Ravazzolo. 2023. “Robust Estimation for Threshold Autoregressive Moving-Average Models.” Free University of Bolzano, University of Bologna. https://doi.org/10.48550/ARXIV.2211.08205.

———. 2025. “Robust Estimation for Threshold Autoregressive Moving-Average Models.” Journal of Business and Economic Statistics. (.): in press. https://doi.org/10.1080/07350015.2024.2412011.

Goracci, G., S. Giannerini, K.-S. Chan, and H. Tong. 2021. “Testing for Threshold Effects in the TARMA Framework.” University of Bologna, Free University of Bolzano, University of Iowa, London School of Economics. https://arxiv.org/abs/2103.13977.

———. 2023. “Testing for Threshold Effects in the TARMA Framework.” Statistica Sinica 33 (3): 1879–1901. https://doi.org/https://doi.org/10.5705/ss.202021.0120.

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Version

Install

install.packages('tseriesTARMA')

Monthly Downloads

11,954

Version

0.5-1

License

GPL (>= 2)

Maintainer

Simone Giannerini

Last Published

October 8th, 2024

Functions in tseriesTARMA (0.5-1)

plot.tsfit

Plot from fitted/forecasted time series models.
tseriesTARMA

tseriesTARMA: Analysis of Nonlinear Time Series through Threshold Autoregressive Moving Average Models (TARMA) models
print.TARMA

Methods for TARMA fits
predict.TARMA

Forecast from fitted TARMA models.
supLMQur

Tabulated Critical Values for the Unit Root IMA vs TARMA test
print.TARMAtest

Methods for TARMA tests
TAR.test.B

AR versus TAR bootstrap supLM test for nonlinearity
TARMA.fit

TARMA Modelling of Time Series
TARMA.sim

Simulation of a two-regime TARMA(p1,p2,q1,q2) process
TARMAur.test

Unit root supLM test for an integrated MA versus a stationary TARMA process
TARMA.test

ARMA versus TARMA (and AR versus TAR) supLM tests for nonlinearity
TARMAur.test.B

Unit root supLM test for an integrated MA versus a stationary TARMA process
TARMA.fit2

TARMA Modelling of Time Series
ACValues

Andrews Tabulated Critical Values
TAR.test

AR versus TARMA supLM robust test for nonlinearity
TARMAGARCH.test

ARMA GARCH versus TARMA GARCH supLM test for nonlinearity