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Tip revision: 283b7bf83b431ecfc12cf7774f029cbe9ac4555f authored by Kevin R. Coombes on 17 October 2018, 12:20:03 UTC
version 2.1.5
Tip revision: 283b7bf
Package: GenAlgo
Version: 2.1.5
Date: 2018-10-16
Title: Classes and Methods to Use Genetic Algorithms for Feature
Author: Kevin R. Coombes
Maintainer: Kevin R. Coombes <>
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
NeedsCompilation: no
Packaged: 2018-10-17 12:21:49 UTC; coom05
Repository: CRAN
Date/Publication: 2018-10-17 13:20:03 UTC
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