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: | 0.2 |
| Imports: | PSF, Rlibeemd, forecast, tseries |
| Suggests: | knitr, rmarkdown |
| Published: | 2022-05-01 |
| DOI: | 10.32614/CRAN.package.decomposedPSF |
| Author: | Neeraj Bokde |
| Maintainer: | Neeraj Bokde <neerajdhanraj at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL] |
| URL: | https://www.neerajbokde.in/software/ |
| NeedsCompilation: | no |
| Citation: | decomposedPSF citation info |
| CRAN checks: | decomposedPSF results |
| Reference manual: | decomposedPSF.html , decomposedPSF.pdf |
| Vignettes: |
decomposedPSF-vignette (source, R code) |
| Package source: | decomposedPSF_0.2.tar.gz |
| Windows binaries: | r-devel: decomposedPSF_0.2.zip, r-release: decomposedPSF_0.2.zip, r-oldrel: decomposedPSF_0.2.zip |
| macOS binaries: | r-release (arm64): decomposedPSF_0.2.tgz, r-oldrel (arm64): decomposedPSF_0.2.tgz, r-release (x86_64): decomposedPSF_0.2.tgz, r-oldrel (x86_64): decomposedPSF_0.2.tgz |
| Old sources: | decomposedPSF archive |
Please use the canonical form https://CRAN.R-project.org/package=decomposedPSF to link to this page.
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.