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>.

Getting started

Package details

AuthorRamasubramanian V. [aut, ctb], Mrinmoy Ray [aut, cre]
MaintainerMrinmoy Ray <mrinmoy4848@gmail.com>
LicenseGPL-3
Version0.1.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("ARIMAANN")

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ARIMAANN documentation built on Oct. 14, 2022, 1:09 a.m.