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
DOI:	10.32614/CRAN.package.ARIMAANN
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:

Reference manual:

ARIMAANN.html , ARIMAANN.pdf

Downloads:

Package source:	ARIMAANN_0.1.0.tar.gz
Windows binaries:	r-release: ARIMAANN_0.1.0.zip, r-oldrel: ARIMAANN_0.1.0.zip
macOS binaries:	r-release (arm64): ARIMAANN_0.1.0.tgz, r-oldrel (arm64): ARIMAANN_0.1.0.tgz, r-release (x86_64): ARIMAANN_0.1.0.tgz, r-oldrel (x86_64): ARIMAANN_0.1.0.tgz

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