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WaveletRF

0.1.0Package record

Wavelet-RF Hybrid Model for Time Series Forecasting

0packages depend
2.4Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

The Wavelet Decomposition followed by Random Forest Regression (RF) models have been applied for time series forecasting. The maximum overlap discrete wavelet transform (MODWT) algorithm was chosen as it works for any length of the series. The series is first divided into training and testing sets. In each of the wavelet decomposed series, the supervised machine learning approach namely random forest was employed to train the model. This package also provides accuracy metrics in the form of Root Mean Square Error (RMSE) and Mean Absolute Prediction Error (MAPE). This package is based on the algorithm of Ding et al. (2021) <DOI: 10.1007/s11356-020-12298-3>.

Install

Health

CRAN checks
13OK
Slowest check: 2.1 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
Show 2 earlier changesHide 2 earlier changes
  • 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

2.4K
CRAN downloads in the past year
Rank #21,984 · ~7/day · ~198/mo
Daily download trend is not available in this view yet.
22030 days
60890 days
2.4K1 year
Compare downloads with other packages →
Also on66 r2u3 autocran

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)

Installing WaveletRF adds 47 packages (28 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
    2022-02-22 · current release
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2022-02-22
Total releases
1 / 4 yrs
License
GPL-3 OSI
Download size
3.7 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

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

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 WaveletRF 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.

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