tseriesTARMA
0.5-2Analysis of Nonlinear Time Series Through Threshold Autoregressive Moving Average Models (TARMA) Models
Overview
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) OBES doi:10.1111/obes.12647; unit-root tests based on TARMA models, see Chan et al. Statistica Sinica (2024) doi:10.5705/ss.202022.0125.
Install
Health
- NOTE r-devel-linux-x86_64-fedora-clang
- NOTE r-devel-linux-x86_64-fedora-gcc
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 91%
- Return-value docs
- 100%
- References docs
- 69%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
5 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.5-2Latest
- RR 4.5.0 released · 2025-04-11
- 0.5-12024-10-08 · diff ↗
- RR 4.4.0 released · 2024-04-24
- 0.3-42023-09-18 · diff ↗
- unarchivedReturned to CRAN2023-09-18
- archivedRemoved from CRAN2023-09-11issues were not corrected in time Use of Fortran RANDOM_NUMBER
- RR 4.3.0 released · 2023-04-21
- 0.3-22023-02-24 · diff ↗
- 0.3-12023-02-22
- RR 4.2.0 released · 2022-04-22
Package metadata
- First published
- 2023-02-22
- Total releases
- 5 / 3 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 23 KB / 2 files
- Download size
- 196 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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