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: 2026-07-05 05:10:38 UTC; root
Config/pak/sysreqs: libgsl0-dev libssl-dev
Repository: https://neerajdhanraj.r-universe.dev
Date/Publication: 2022-05-01 13:20:07 UTC
RemoteUrl: https://github.com/cran/decomposedPSF
RemoteRef: HEAD
RemoteSha: aa689c974c783859d679e5b07ef787eeeee08024