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: | 0.4-1 |
| Depends: | R (≥ 3.0.0), utils |
| Imports: | emoa (≥ 0.5-0) |
| Suggests: | igraph (≥ 0.5.5), rrules (≥ 0.1-0), rgpui (≥ 0.1-0), snowfall (≥ 1.84-4) |
| Published: | 2014-08-08 |
| Author: | Oliver Flasch, Olaf Mersmann, Thomas Bartz-Beielstein, Joerg Stork, Martin Zaefferer |
| Maintainer: | Oliver Flasch <oliver.flasch at fh-koeln.de> |
| License: | GPL-2 |
| URL: | http://rsymbolic.org/projects/show/rgp |
| NeedsCompilation: | yes |
| Materials: | ChangeLog |
| In views: | MachineLearning |
| CRAN checks: | rgp results |
| Reference manual: | rgp.pdf |
| Vignettes: |
A Friendly Introduction to RGP |
| Package source: | rgp_0.4-1.tar.gz |
| Windows binaries: | r-devel: rgp_0.4-1.zip, r-release: rgp_0.4-1.zip, r-oldrel: rgp_0.4-1.zip |
| OS X El Capitan binaries: | r-release: rgp_0.4-1.tgz |
| OS X Mavericks binaries: | r-oldrel: rgp_0.4-1.tgz |
| Old sources: | rgp archive |
| Reverse imports: | rgpui |
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