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mogavs: Multiobjective Genetic Algorithm for Variable Selection in Regression
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>.
Getting started
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Package details |
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| Author | Tommi Pajala [aut, cre], Pekka Malo [aut], Ankur Sinha [aut], Timo Kuosmanen [ctb] |
| Maintainer | Tommi Pajala <tommi.pajala@aalto.fi> |
| License | GPL-2 |
| Version | 1.1.0 |
| Package repository | View on CRAN |
| Installation |
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