swMATH ID: 32022
Software Authors: David Kepplinger
Description: R package gaselect: Genetic Algorithm (GA) for Variable Selection from High-Dimensional Data. 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.
Homepage: https://cran.r-project.org/web/packages/gaselect/index.html
Source Code:  https://github.com/cran/gaselect
Dependencies: R
Related Software: mogavs; GenAlgo; mlr; RWeka; CORElearn; caret; EFS; featurefinder; varSelRF; GeneSrF; spFSR; Boruta; FSelector; MXM; R; FSinR; CRAN
Cited in: 0 Publications