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.


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install.packages("gaselect")

1.0.7 by David Kepplinger, 9 months ago


https://github.com/dakep/gaselect


Report a bug at https://github.com/dakep/gaselect/issues


Browse source code at https://github.com/cran/gaselect


Authors: David Kepplinger


Documentation:   PDF Manual  


GPL (>= 2) license


Imports Rcpp

Depends on methods

Suggests chemometrics

Linking to Rcpp, RcppArmadillo

System requirements: C++11


See at CRAN