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:Pankaj Das [aut, cre], Kapil Choudhary [aut], Girish Kumar Jha [aut], Achal Lama [aut]

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.

1.00 score 217 downloads 2 exports 6 dependencies

Last updated 3 years agofrom:ac6a79c25b. Checks:2 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 15 2025
R-4.5-linuxOKFeb 15 2025

Exports:CEEMDSVREEMDSVR

Dependencies:classe1071MASSproxyRcppRlibeemd