Functions for exploring the best subsets in regression with a genetic algorithm. The package is much faster than methods relying on complete enumeration, and is suitable for data sets with large number of variables. For more information, see Sinha, Malo & Kuosmanen (2015) <doi:10.1080/10618600.2014.899236>.
| Version: | 1.1.0 |
| Depends: | R (≥ 2.10) |
| Imports: | cvTools |
| Published: | 2018-01-26 |
| Author: | Tommi Pajala [aut, cre], Pekka Malo [aut], Ankur Sinha [aut], Timo Kuosmanen [ctb] |
| Maintainer: | Tommi Pajala <tommi.pajala at aalto.fi> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | mogavs results |
| Reference manual: | mogavs.pdf |
| Package source: | mogavs_1.1.0.tar.gz |
| Windows binaries: | r-devel: mogavs_1.1.0.zip, r-release: mogavs_1.1.0.zip, r-oldrel: mogavs_1.1.0.zip |
| macOS binaries: | r-release: mogavs_1.1.0.tgz, r-oldrel: mogavs_1.1.0.tgz |
| Old sources: | mogavs archive |
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