The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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>.
Version: | 0.1.0 |
Depends: | R (≥ 3.5.0) |
Imports: | e1071, stats, hms |
Suggests: | testthat (≥ 3.0.0) |
Published: | 2025-08-19 |
DOI: | 10.32614/CRAN.package.metaSVR |
Author: | Rechtiana Putri Arini [aut, cre], Robert Kurniawan [aut], I Nyoman Setiawan [aut], Zulhan Andika Asyraf [aut] |
Maintainer: | Rechtiana Putri Arini <rparini17 at gmail.com> |
BugReports: | https://github.com/rechtianaputri/metaSVR/issues |
License: | GPL (≥ 3) |
URL: | https://github.com/rechtianaputri/metaSVR |
NeedsCompilation: | no |
Citation: | metaSVR citation info |
Materials: | README |
CRAN checks: | metaSVR results |
Reference manual: | metaSVR.html , metaSVR.pdf |
Package source: | metaSVR_0.1.0.tar.gz |
Windows binaries: | r-devel: not available, r-release: metaSVR_0.1.0.zip, r-oldrel: metaSVR_0.1.0.zip |
macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): metaSVR_0.1.0.tgz, r-oldrel (x86_64): metaSVR_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=metaSVR to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.