GenAlgo: Classes and Methods to Use Genetic Algorithms for Feature Selection (original) (raw)
Defines classes and methods that can be used to implement genetic algorithms for feature selection. The idea is that we want to select a fixed number of features to combine into a linear classifier that can predict a binary outcome, and can use a genetic algorithm heuristically to select an optimal set of features.
| Version: | 2.2.1 |
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| Depends: | R (≥ 4.4) |
| Imports: | methods, stats, MASS, oompaBase (≥ 3.0.1), ClassDiscovery |
| Suggests: | Biobase, xtable |
| Published: | 2025-04-07 |
| DOI: | 10.32614/CRAN.package.GenAlgo |
| Author: | Kevin R. Coombes [aut, cre] |
| Maintainer: | Kevin R. Coombes |
| License: | Apache License (== 2.0) |
| URL: | http://oompa.r-forge.r-project.org/ |
| NeedsCompilation: | no |
| Materials: | |
| CRAN checks: | GenAlgo results |
Documentation:
| Reference manual: | GenAlgo.pdf |
|---|---|
| Vignettes: | OOMPA GenAlgo (source, R code) |
Downloads:
| Package source: | GenAlgo_2.2.1.tar.gz |
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| Windows binaries: | r-devel: GenAlgo_2.2.1.zip, r-release: GenAlgo_2.2.1.zip, r-oldrel: GenAlgo_2.2.1.zip |
| macOS binaries: | r-release (arm64): GenAlgo_2.2.1.tgz, r-oldrel (arm64): GenAlgo_2.2.1.tgz, r-release (x86_64): GenAlgo_2.2.1.tgz, r-oldrel (x86_64): GenAlgo_2.2.1.tgz |
| Old sources: | GenAlgo archive |
Linking:
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