ARIMAANN: Time Series Forecasting using ARIMA-ANN Hybrid Model
Testing, Implementation, and Forecasting of the ARIMA-ANN hybrid model. The ARIMA-ANN hybrid model combines the distinct strengths of the Auto-Regressive Integrated Moving Average (ARIMA) model and the Artificial Neural Network (ANN) model for time series forecasting.For method details see Zhang, GP (2003) <doi:10.1016/S0925-2312(01)00702-0>.
Version: |
0.1.0 |
Depends: |
R (≥ 2.3.1), stats, forecast, tseries |
Published: |
2022-10-13 |
Author: |
Ramasubramanian V. [aut, ctb],
Mrinmoy Ray [aut, cre] |
Maintainer: |
Mrinmoy Ray <mrinmoy4848 at gmail.com> |
License: |
GPL-3 |
NeedsCompilation: |
no |
CRAN checks: |
ARIMAANN results |
Documentation:
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