ARIMAANN
Time Series Forecasting using ARIMA-ANN Hybrid Model
v0.1.0
·
Oct 13, 2022
·
GPL-3
Description
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>.
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| r-devel-linux-x86_64-debian-gcc | OK |
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| r-devel-linux-x86_64-fedora-gcc | OK |
| r-devel-windows-x86_64 | OK |
| r-oldrel-macos-arm64 | OK |
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| r-patched-linux-x86_64 | OK |
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0.1.0
Mar 10, 2026
R Observatory began tracking this package on Mar 10, 2026; it first appeared on CRAN Oct 13, 2022. Releases before tracking aren’t shown.