Package: EMDSVRhybrid 0.2.0
Pankaj Das
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>.
Authors:
EMDSVRhybrid_0.2.0.tar.gz
EMDSVRhybrid_0.2.0.tar.gz(r-4.5-noble)EMDSVRhybrid_0.2.0.tar.gz(r-4.4-noble)
EMDSVRhybrid_0.2.0.tgz(r-4.4-emscripten)EMDSVRhybrid_0.2.0.tgz(r-4.3-emscripten)
EMDSVRhybrid.pdf |EMDSVRhybrid.html✨
EMDSVRhybrid/json (API)
# Install 'EMDSVRhybrid' in R: |
install.packages('EMDSVRhybrid', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:377abc0204. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 04 2024 |
R-4.5-linux | OK | Dec 04 2024 |
Exports:EMDSVRhybrid
Dependencies:classdotCall64e1071EMDfieldslatticelocfitmapsMASSproxyRcppspamviridisLite
Readme and manuals
Help Manual
Help page | Topics |
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EMD based SVR model | EMDSVRhybrid |