Skip to content

WaveletSVR

0.1.0Package record

Wavelet-SVR Hybrid Model for Time Series Forecasting

0packages depend
2.2Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

The main aim of this package is to combine the advantage of wavelet and support vector machine models for time series forecasting. This package also gives the accuracy measurements in terms of RMSE and MAPE. This package fits the hybrid Wavelet SVR model for time series forecasting The main aim of this package is to combine the advantage of wavelet and Support Vector Regression (SVR) models for time series forecasting. This package also gives the accuracy measurements in terms of Root Mean Square Error (RMSE) and Mean Absolute Prediction Error (MAPE). This package is based on the algorithm of Raimundo and Okamoto (2018) <DOI: 10.1109/INFOCT.2018.8356851>.

Install

Health

CRAN checks
13OK
Slowest check: 2.1 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • 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
100%
Return-value docs
100%
Help pages citing references
100%

Downloads

2.2K
CRAN downloads in the past year
Rank #21,036 · ~6/day · ~180/mo
Daily download trend is not available in this view yet.
22130 days
63690 days
2.2K1 year
Compare downloads with other packages →
Also on71 r2u1 autocran

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)

Installing WaveletSVR adds 48 packages (29 with compiled code, 34 MB of source tarballs). Heaviest: ggplot2 6.0 MB, smooth 3.4 MB, greybox 2.5 MB.

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

Nothing depends on this yet.

People & History

People (2)
Author, Maintainer since 0.1.0 (2022)
Author
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
    2022-01-06 · current release
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2022-01-06
Total releases
1 / 4 yrs
License
GPL-3 OSI
Download size
3.4 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("WaveletSVR")
Paul, R. K., & Yeasin, M. (2022). WaveletSVR: Wavelet-SVR Hybrid Model for Time Series Forecasting (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.WaveletSVR

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 WaveletSVR version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy