Raw File
Tip revision: 7476f7f38f6427cdb2ebc6307fe4ef95eb338de9 authored by Kevin R. Coombes on 15 October 2020, 16:40:03 UTC
version 2.2.0
Tip revision: 7476f7f
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 <>
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: 2020-10-15 15:15:55 UTC; KRC
Repository: CRAN
Date/Publication: 2020-10-15 17:40:03 UTC
back to top