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

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'))

Peer review:

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

2.00 score 3 scripts 179 downloads 1 exports 13 dependencies

Last updated 1 years agofrom:377abc0204. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 04 2024
R-4.5-linuxOKNov 04 2024

Exports:EMDSVRhybrid

Dependencies:classdotCall64e1071EMDfieldslatticelocfitmapsMASSproxyRcppspamviridisLite

EMD based SVR model

Rendered fromEMDSVRhybrid.Rmdusingknitr::rmarkdownon Nov 04 2024.

Last update: 2023-10-11
Started: 2023-10-11