Package: GenAlgo
Version: 2.1.5
Date: 2018-10-16
Title: Classes and Methods to Use Genetic Algorithms for Feature
        Selection
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: 2018-10-17 12:21:49 UTC; coom05
Repository: CRAN
Date/Publication: 2018-10-17 13:20:03 UTC