Package: EEMDSVR 0.1.0
Pankaj Das
EEMDSVR: Ensemble Empirical Mode Decomposition and Its Variant Based Support Vector Regression Model
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>.
Authors:
EEMDSVR_0.1.0.tar.gz
EEMDSVR_0.1.0.tar.gz(r-4.5-noble)EEMDSVR_0.1.0.tar.gz(r-4.4-noble)
EEMDSVR_0.1.0.tgz(r-4.4-emscripten)EEMDSVR_0.1.0.tgz(r-4.3-emscripten)
EEMDSVR.pdf |EEMDSVR.html✨
EEMDSVR/json (API)
| # Install 'EEMDSVR' in R: |
| install.packages('EEMDSVR', 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 3 years agofrom:ac6a79c25b. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 17 2024 |
| R-4.5-linux | OK | Dec 17 2024 |
