https://github.com/tsmodels/tsarma
Autoregressive Moving Average Models. Estimation, filtering, prediction, simulation and diagnostics.
https://github.com/tsmodels/tsarma
arima r
Last synced: 22 days ago
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Autoregressive Moving Average Models. Estimation, filtering, prediction, simulation and diagnostics.
- Host: GitHub
- URL: https://github.com/tsmodels/tsarma
- Owner: tsmodels
- Created: 2023-04-01T20:26:20.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2024-12-21T06:21:45.000Z (over 1 year ago)
- Last Synced: 2025-10-30T19:38:18.427Z (9 months ago)
- Topics: arima, r
- Language: R
- Homepage:
- Size: 4.84 MB
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 1
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Metadata Files:
- Readme: README.md
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# tsarma
The **tsarma** package implements methods for the maximum likelihood
estimation of ARMA(p,q)-X models for stationary time series, backed by
autodiff (using TMB package). It includes methods for inference,
filtering, prediction, simulation and backtesting.
It makes use of the [tsmodels](https://github.com/tsmodels) framework,
providing common methods with similar inputs and classes with similar
outputs.
The package vignette is available in the new tsmodels site
[here](https://www.nopredict.com/packages/tsarma.html).