Package: GenAlgo
Version: 2.2.2
Date: 2026-09-24
Title: Classes and Methods to Use Genetic Algorithms for Feature
        Selection
Authors@R: person(given = c("Kevin", "R."), family = "Coombes",
                  role = c("aut", "cre"), email = "krc@silicovore.com")
Depends: R (>= 4.4)
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://silicovore.com/OOMPA/classpred.html
NeedsCompilation: no
Packaged: 2026-09-24 18:27:19 UTC; KRC
Author: Kevin R. Coombes [aut, cre]
Maintainer: Kevin R. Coombes <krc@silicovore.com>
Repository: CRAN
Date/Publication: 2026-09-24 20:20:02 UTC
