Package: decomposedPSF
Type: Package
Title: Time Series Prediction with PSF and Decomposition Methods (EMD
        and EEMD)
Version: 0.2
Date: 2022-04-30
Author: Neeraj Bokde
Maintainer: Neeraj Bokde <neerajdhanraj@gmail.com>
URL: https://www.neerajbokde.in/software/
Description: Predict future values with hybrid combinations of Pattern Sequence based
        Forecasting (PSF), Autoregressive Integrated Moving Average (ARIMA), Empirical Mode
        Decomposition (EMD) and Ensemble Empirical Mode Decomposition (EEMD) methods based
        hybrid methods.
License: GPL
Imports: PSF, Rlibeemd, forecast, tseries
Encoding: UTF-8
RoxygenNote: 7.1.2
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-05-01 03:52:20 UTC; mayur
Repository: CRAN
Date/Publication: 2022-05-01 14:20:07 UTC
Built: R 4.6.0; ; 2026-04-28 16:30:34 UTC; unix
