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.zip(r-4.7-any)EEMDSVR_0.1.0.zip(r-4.6-any)
EEMDSVR_0.1.0.tar.gz(r-4.7-any)EEMDSVR_0.1.0.tar.gz(r-4.6-any)
EEMDSVR_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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 from:ac6a79c25b. Checks:6 OK. Indexed: yes.
