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 datasets with large number of variables.

AuthorTommi Pajala [aut, cre], Pekka Malo [aut], Ankur Sinha [aut], Timo Kuosmanen [ctb]
Date of publication2015-11-06 18:29:17
MaintainerTommi Pajala <tommi.pajala@aalto.fi>
LicenseGPL-2
Version1.0.1

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