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>.

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

Downloads:

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
OS X El Capitan binaries: r-release: mogavs_1.1.0.tgz
OS X Mavericks binaries: r-oldrel: mogavs_1.0.1.tgz
Old sources: mogavs archive

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