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gaselect  

Genetic Algorithm (GA) for Variable Selection from High-Dimensional Data
View on CRAN: Click here


Download and install gaselect package within the R console
Install from CRAN:
install.packages("gaselect")

Install from Github:
library("remotes")
install_github("cran/gaselect")

Install by package version:
library("remotes")
install_version("gaselect", "1.0.25")



Attach the package and use:
library("gaselect")
Maintained by
David Kepplinger
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-02-10
Latest Update: 2025-04-14
Description:
Provides a genetic algorithm for finding variable subsets in high dimensional data with high prediction performance. The genetic algorithm can use ordinary least squares (OLS) regression models or partial least squares (PLS) regression models to evaluate the prediction power of variable subsets. By supporting different cross-validation schemes, the user can fine-tune the tradeoff between speed and quality of the solution.
How to cite:
David Kepplinger (2015). gaselect: Genetic Algorithm (GA) for Variable Selection from High-Dimensional Data. R package version 1.0.25, https://cran.r-project.org/web/packages/gaselect. Accessed 06 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:41), 1.0.4 (2015-02-10 11:02), 1.0.5 (2015-02-12 17:45), 1.0.6 (2019-03-04 21:50), 1.0.7 (2019-03-13 20:10), 1.0.9 (2020-02-06 02:00), 1.0.10 (2022-03-09 22:40), 1.0.11 (2022-04-06 16:02), 1.0.21 (2023-02-04 20:42), 1.0.22 (2023-12-11 20:50), 1.0.23 (2025-04-14 18:20), 1.0.24 (2025-12-16 17:30)
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