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Description: Application of empirical mode decomposition based support vector regression model for nonlinear and non stationary univariate time series forecasting. For method details see (i) Choudhury (2019) <http://krishi.icar.gov.in/jspui/handle/123456789/44873>; (ii) Das (2020) <http://krishi.icar.gov.in/jspui/handle/123456789/43174>; (iii) Das (2023) <http://krishi.icar.gov.in/jspui/handle/123456789/77772>.
Version: | 0.2.0 |
Depends: | EMD, e1071 |
Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
Published: | 2023-10-11 |
DOI: | 10.32614/CRAN.package.EMDSVRhybrid |
Author: | Pankaj Das |
Maintainer: | Pankaj Das <pankaj.das2 at icar.gov.in> |
License: | GPL-3 |
NeedsCompilation: | no |
CRAN checks: | EMDSVRhybrid results |
Reference manual: | EMDSVRhybrid.pdf |
Vignettes: |
EMD based SVR model |
Package source: | EMDSVRhybrid_0.2.0.tar.gz |
Windows binaries: | r-devel: EMDSVRhybrid_0.2.0.zip, r-release: EMDSVRhybrid_0.2.0.zip, r-oldrel: EMDSVRhybrid_0.2.0.zip |
macOS binaries: | r-release (arm64): EMDSVRhybrid_0.2.0.tgz, r-oldrel (arm64): EMDSVRhybrid_0.2.0.tgz, r-release (x86_64): EMDSVRhybrid_0.2.0.tgz, r-oldrel (x86_64): EMDSVRhybrid_0.2.0.tgz |
Old sources: | EMDSVRhybrid archive |
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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.