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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.
Getting started
Browse package contents
Package details |
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| Author | David Kepplinger |
| Maintainer | David Kepplinger <david.kepplinger@gmail.com> |
| License | GPL (>= 2) |
| Version | 1.0.22 |
| URL | https://github.com/dakep/gaselect |
| Package repository | View on CRAN |
| Installation |
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