Package: ARIMAANN
Type: Package
Title: Time Series Forecasting using ARIMA-ANN Hybrid Model
Version: 0.1.0
Authors@R: c(person("Ramasubramanian ", "V.", role = c("aut", "ctb")),
            person("Mrinmoy", "Ray", role = c("aut", "cre"),
                     email = "mrinmoy4848@gmail.com"))
Depends: R (>= 2.3.1), stats,forecast, tseries
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>.
Encoding: UTF-8
License: GPL-3
NeedsCompilation: no
Packaged: 2026-09-26 06:46:28 UTC; root
Author: Ramasubramanian V. [aut, ctb], Mrinmoy Ray [aut, cre]
Maintainer: Mrinmoy Ray <mrinmoy4848@gmail.com>
Repository: https://cran.r-universe.dev
Date/Publication: 2022-10-13 16:42:37 UTC
RemoteUrl: https://github.com/cran/ARIMAANN
RemoteRef: HEAD
RemoteSha: 19cb732d0615c8ff48c3d4de18ad2c753d1b7000