Skip to content

metaSVR

0.1.0

Support Vector Regression with Metaheuristic Algorithms Optimization

0packages depend
5.1Kdownloads / year
98.0%test coverage
13/13checks pass

Overview

About
Maintained by Rechtiana Putri AriniFirst published 2025-08-191 releasesCRAN page ↗GitHub ↗

Provides a hybrid modeling framework combining Support Vector Regression (SVR) with metaheuristic optimization algorithms, including the Archimedes Optimization Algorithm (AO) (Hashim et al. (2021) doi:10.1007/s10489-020-01893-z), Coot Bird Optimization (CBO) (Naruei & Keynia (2021) doi:10.1016/j.eswa.2021.115352), and their hybrid (AOCBO), as well as several others such as Harris Hawks Optimization (HHO) (Heidari et al. (2019) doi:10.1016/j.future.2019.02.028), Gray Wolf Optimizer (GWO) (Mirjalili et al. (2014) doi:10.1016/j.advengsoft.2013.12.007), Ant Lion Optimization (ALO) (Mirjalili (2015) doi:10.1016/j.advengsoft.2015.01.010), and Enhanced Harris Hawk Optimization with Coot Bird Optimization (EHHOCBO) (Cui et al. (2023) doi:10.32604/cmes.2023.026019). The package enables automatic tuning of SVR hyperparameters (cost, gamma, and epsilon) to enhance prediction performance. Suitable for regression tasks in domains such as renewable energy forecasting and hourly data prediction. For more details about implementation and parameter bounds see: Setiawan et al. (2021) doi:10.1016/j.procs.2020.12.003 and Liu et al. (2018) doi:10.1155/2018/6076475.

Install

Health

CRAN checks
13OK
Slowest check: 1.5 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.44
98.0%
Coverage · measured lines
100%
Documentation · exports
3
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 537 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
29%

Downloads

5.1K
CRAN downloads in the past year
Rank #10,125 · ~14/day · ~425/mo
Daily download trend is not available in this view yet.
15030 days
94790 days
5.1K1 year
Compare downloads with other packages →
Also on79 r2u14 autocran

Repository

Repository
0Stars
0Forks
0Open issues
0Open PRs
0Releases
License GPL-3.0 · Last activity 2025-08-14

Repository practices

Upstream repositoryBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/rechtianaputri/metasvr on 2026-08-16.

Docs source (1)
README.Rmd
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
Imports (3)
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (4)
Maintainer (1)
Author, Maintainer
Authors (4)
Listed in earlier versions (3)
no longer listed · 0.1.0
no longer listed · 0.1.0
no longer listed · 0.1.0
Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.0Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2025-08-19
Total releases
1 / 1 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 3.5.0
Download size
35 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("metaSVR")
Arini, R. P., Asyraf, Z. A., Kurniawan, R., & Setiawan, I. N. (2025). metaSVR: Support Vector Regression with Metaheuristic Algorithms Optimization (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.metaSVR

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 metaSVR version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, 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