mogavs (1.1.0)

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) .

Maintainer: Tommi Pajala
Author(s): Tommi Pajala [aut, cre], Pekka Malo [aut], Ankur Sinha [aut], Timo Kuosmanen [ctb]

License: GPL-2

Uses: cvTools

Released almost 2 years ago.