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EMDSVRhybrid: Empirical Mode Decomposition Based Support Vector Regression Model

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 [aut, cre], Achal Lama [aut], Girish Kumar Jha [aut] Maintainer: Pankaj Das <pankaj.das2 at icar.gov.in> License: GPL-3 NeedsCompilation: no CRAN checks: EMDSVRhybrid results Documentation: Reference manual: EMDSVRhybrid.pdf Vignettes: EMD based SVR model (source, R code)
Downloads: 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 Linking:

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