decomposedPSF: Time Series Prediction with PSF and Decomposition Methods (EMD and EEMD)

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.

Version: 0.1.3
Imports: PSF, Rlibeemd, forecast, tseries
Suggests: knitr, rmarkdown
Published: 2017-07-09
Author: Neeraj Bokde
Maintainer: Neeraj Bokde <neerajdhanraj at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL]
URL: http://www.neerajbokde.com/
NeedsCompilation: no
CRAN checks: decomposedPSF results

Downloads:

Reference manual: decomposedPSF.pdf
Vignettes: Vignette Title
Package source: decomposedPSF_0.1.3.tar.gz
Windows binaries: r-devel: decomposedPSF_0.1.3.zip, r-release: decomposedPSF_0.1.3.zip, r-oldrel: decomposedPSF_0.1.3.zip
OS X El Capitan binaries: r-release: decomposedPSF_0.1.3.tgz
OS X Mavericks binaries: r-oldrel: decomposedPSF_0.1.3.tgz

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