| Package |
GenAlgo |
| Version |
2.2.0 |
| Date |
2020-10-13 |
| 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 |
2022-07-20 17:51:31 UTC; KRC |
| Built |
R 4.2.1; ; 2022-07-20 17:51:48 UTC; windows |
| User Manual | GenAlgo-manual.pdf |
| R CHECK | 00check.log |
| Vignettes |
genalg.pdf |
