Authors | Introduction | Function in the R package | Background | Reference
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:
EMDSVRhybrid_0.2.0.tar.gz
EMDSVRhybrid_0.2.0.tar.gz(r-4.7-any)EMDSVRhybrid_0.2.0.tar.gz(r-4.6-any)
EMDSVRhybrid_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
EMDSVRhybrid/json (API)
| # Install 'EMDSVRhybrid' in R: |
| install.packages('EMDSVRhybrid', 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:377abc0204. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 130 | ||
| source / vignettes | OK | 187 | ||
| linux-release-x86_64 | OK | 120 | ||
| wasm-release | OK | 157 |
Exports:EMDSVRhybrid
Dependencies:classdotCall64e1071EMDfieldslatticelocfitmapsMASSproxyRColorBrewerRcppspamviridisLite
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| EMD based SVR model | EMDSVRhybrid |