RGP is a simple modular Genetic Programming (GP) system build in pure R. In addition to general GP tasks, the system supports Symbolic Regression by GP through the familiar R model formula interface. GP individuals are represented as R expressions, an (optional) type system enables domain-specific function sets containing functions of diverse domain- and range types. A basic set of genetic operators for variation (mutation and crossover) and selection is provided.
| Version: | 0.2-4 |
| Depends: | R (≥ 2.13.0), methods, emoa (≥ 0.4-2), rrules (≥ 0.1-0) |
| Suggests: | igraph (≥ 0.5.5), snowfall (≥ 1.84) |
| Published: | 2011-10-20 |
| Author: | Oliver Flasch, Olaf Mersmann, Thomas Bartz-Beielstein, Joerg Stork |
| Maintainer: | Oliver Flasch <oliver.flasch at fh-koeln.de> |
| License: | GPL-2 |
| URL: | http://rsymbolic.org/projects/show/rgp |
| NeedsCompilation: | yes |
| In views: | MachineLearning |
| CRAN checks: | rgp results |
| Package source: | rgp_0.2-4.tar.gz |
| MacOS X binary: | rgp_0.2-4.tgz |
| Windows binary: | rgp_0.2-4.zip |
| Reference manual: | rgp.pdf |
| News/ChangeLog: | ChangeLog |
| Old sources: | rgp archive |
| Reverse suggests: | SPOT |