Wavelet decomposition method is very useful for modelling noisy time series data. Wavelet decomposition using 'haar' algorithm has been implemented to developed hybrid Wavelet GBM (Gradient Boosting Method) model for time series forecasting using algorithm by Anjoy and Paul (2017) <doi:10.1007/s00521-017-3289-9>.
| Version: | 0.1.0 |
| Imports: | caret, dplyr, caretForecast, Metrics, tseries, stats, wavelets, gbm |
| Published: | 2023-04-07 |
| DOI: | 10.32614/CRAN.package.WaveletGBM |
| Author: | Dr. Ranjit Kumar Paul [aut, cre], Dr. Md Yeasin [aut] |
| Maintainer: | Dr. Ranjit Kumar Paul <ranjitstat at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | WaveletGBM results |
| Reference manual: | WaveletGBM.html , WaveletGBM.pdf |
| Package source: | WaveletGBM_0.1.0.tar.gz |
| Windows binaries: | r-devel: WaveletGBM_0.1.0.zip, r-release: WaveletGBM_0.1.0.zip, r-oldrel: WaveletGBM_0.1.0.zip |
| macOS binaries: | r-release (arm64): WaveletGBM_0.1.0.tgz, r-oldrel (arm64): WaveletGBM_0.1.0.tgz, r-release (x86_64): WaveletGBM_0.1.0.tgz, r-oldrel (x86_64): WaveletGBM_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=WaveletGBM 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.