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Tip revision: 35a421aca28768b31853a0b29cdbab60e40e7569 authored by Kevin R. Coombes on 18 May 2018, 14:29:40 UTC
version 2.1.4
Tip revision: 35a421a
Package: GenAlgo
Title: Classes and Methods to Use Genetic Algorithms for Feature
Version: 2.1.4
Date: 2018-05-18
Author: Kevin R. Coombes
Maintainer: Kevin R. Coombes <>
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
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-05-18 15:10:55 UTC; Kevin
Repository: CRAN
Date/Publication: 2018-05-18 15:29:40 UTC
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