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EEMDSVR

0.1.0Package record

Ensemble Empirical Mode Decomposition and Its Variant Based Support Vector Regression Model

0packages depend
2.6Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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.

Install

Health

CRAN checks
13OK
Slowest check: 46 s · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.0
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
2
Examples that run
100%2 run in a plain check
Exported functions with examples
100%
Documented parameters
not tracked
Return-value docs
not tracked
Help pages citing references
100%

Downloads

2.6K
CRAN downloads in the past year
Rank #19,418 · ~7/day · ~217/mo
Daily download trend is not available in this view yet.
27830 days
67190 days
2.6K1 year
Compare downloads with other packages →
Also on372 r2u6 autocran

Dependencies

Declared dependencies
2 external dependencies (excludes base and recommended)

Installing EEMDSVR adds 4 packages (4 with compiled code, 2.2 MB of source tarballs). Heaviest: Rcpp 1.8 MB, e1071 311 KB, Rlibeemd 71 KB.

Depends (0)
none
Imports (2)
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (4)
Author, Maintainer since 0.1.0 (2021)
Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 0.1.0Latest
    2021-09-20 · current release
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2021-09-20
Total releases
1 / 5 yrs
License
GPL-3 OSI
Download size
3.8 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("EEMDSVR")
Das, P., Choudhary, K., Kumar Jha, G., & Lama, A. (2021). EEMDSVR: Ensemble Empirical Mode Decomposition and Its Variant Based Support Vector Regression Model (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.EEMDSVR

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for EEMDSVR version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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