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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | ARIMAANN_0.1.0.tar.gz |
11.2 KiB |
0.1.0 |
rolling linux/noble R-4.5 | ARIMAANN_0.1.0.tar.gz |
11.0 KiB |
0.1.0 |
rolling source/ R- | ARIMAANN_0.1.0.tar.gz |
2.0 KiB |
0.1.0 |
latest linux/jammy R-4.5 | ARIMAANN_0.1.0.tar.gz |
11.2 KiB |
0.1.0 |
latest linux/noble R-4.5 | ARIMAANN_0.1.0.tar.gz |
11.0 KiB |
0.1.0 |
latest source/ R- | ARIMAANN_0.1.0.tar.gz |
2.0 KiB |
0.1.0 |
2026-04-26 source/ R- | ARIMAANN_0.1.0.tar.gz |
2.0 KiB |
0.1.0 |
2026-04-23 source/ R- | ARIMAANN_0.1.0.tar.gz |
2.0 KiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | ARIMAANN_0.1.0.zip |
13.9 KiB |
0.1.0 |
2025-04-20 source/ R- | ARIMAANN_0.1.0.tar.gz |
2.0 KiB |