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Package: GenAlgo
Version: 2.2.0
Date: 2020-10-13
Title: Classes and Methods to Use Genetic Algorithms for Feature
Author: Kevin R. Coombes
Maintainer: Kevin R. Coombes <krc@silicovore.com>
Depends: R (>= 3.0)
Imports: methods, stats, MASS, oompaBase (>= 3.0.1), ClassDiscovery
Suggests: Biobase, xtable
Description: 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.
License: Apache License (== 2.0)
LazyLoad: yes
biocViews: Microarray, Clustering
URL: http://oompa.r-forge.r-project.org/
NeedsCompilation: no
Packaged: 2020-10-15 15:15:55 UTC; KRC
Repository: CRAN
Date/Publication: 2020-10-15 17:40:03 UTC
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