The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

GenAlgo: Classes and Methods to Use Genetic Algorithms for Feature Selection

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: 2.2.0
Depends: R (≥ 3.0)
Imports: methods, stats, MASS, oompaBase (≥ 3.0.1), ClassDiscovery
Suggests: Biobase, xtable
Published: 2020-10-15
DOI: 10.32614/CRAN.package.GenAlgo
Author: Kevin R. Coombes
Maintainer: Kevin R. Coombes <krc at silicovore.com>
License: Apache License (== 2.0)
URL: http://oompa.r-forge.r-project.org/
NeedsCompilation: no
Materials: NEWS
CRAN checks: GenAlgo results

Documentation:

Reference manual: GenAlgo.pdf
Vignettes: OOMPA GenAlgo

Downloads:

Package source: GenAlgo_2.2.0.tar.gz
Windows binaries: r-devel: GenAlgo_2.2.0.zip, r-release: GenAlgo_2.2.0.zip, r-oldrel: GenAlgo_2.2.0.zip
macOS binaries: r-release (arm64): GenAlgo_2.2.0.tgz, r-oldrel (arm64): GenAlgo_2.2.0.tgz, r-release (x86_64): GenAlgo_2.2.0.tgz, r-oldrel (x86_64): GenAlgo_2.2.0.tgz
Old sources: GenAlgo archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=GenAlgo to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.