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Application of Ensemble Empirical Mode Decomposition and its variant based Support Vector regression model for univariate time series forecasting. For method details see Das (2020).<http://krishi.icar.gov.in/jspui/handle/123456789/44138>.
Version: | 0.1.0 |
Imports: | Rlibeemd, e1071 |
Published: | 2021-09-20 |
DOI: | 10.32614/CRAN.package.EEMDSVR |
Author: | Pankaj Das [aut, cre], Kapil Choudhary [aut], Girish Kumar Jha [aut], Achal Lama [aut] |
Maintainer: | Pankaj Das <pankaj.das2 at icar.gov.in> |
License: | GPL-3 |
NeedsCompilation: | no |
CRAN checks: | EEMDSVR results |
Reference manual: | EEMDSVR.pdf |
Package source: | EEMDSVR_0.1.0.tar.gz |
Windows binaries: | r-devel: EEMDSVR_0.1.0.zip, r-release: EEMDSVR_0.1.0.zip, r-oldrel: EEMDSVR_0.1.0.zip |
macOS binaries: | r-release (arm64): EEMDSVR_0.1.0.tgz, r-oldrel (arm64): EEMDSVR_0.1.0.tgz, r-release (x86_64): EEMDSVR_0.1.0.tgz, r-oldrel (x86_64): EEMDSVR_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.