Package: GenAlgo
Title: Classes and Methods to Use Genetic Algorithms for Feature
        Selection
Version: 2.1.4
Date: 2018-05-18
Author: Kevin R. Coombes
Maintainer: Kevin R. Coombes <krc@silicovore.com>
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.
Depends: R (>= 3.0)
Imports: methods, stats, MASS, oompaBase (>= 3.0.1), ClassDiscovery
Suggests: Biobase, xtable, knitr, Umpire
License: Apache License (== 2.0)
LazyLoad: yes
biocViews: Microarray, Clustering
URL: http://oompa.r-forge.r-project.org/
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-05-18 15:10:55 UTC; Kevin
Repository: CRAN
Date/Publication: 2018-05-18 15:29:40 UTC