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'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2 exports 0.00 score 6 dependencies 208 downloads

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

TargetResultDate
Doc / VignettesOKAug 19 2024
R-4.5-linuxOKAug 19 2024

Exports:CEEMDSVREEMDSVR

Dependencies:classe1071MASSproxyRcppRlibeemd