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

Documentation:

Reference manual:

mogavs.pdf

Downloads:

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 (arm64): mogavs_1.1.0.tgz, r-oldrel (arm64): mogavs_1.1.0.tgz, r-release (x86_64): mogavs_1.1.0.tgz, r-oldrel (x86_64): mogavs_1.1.0.tgz
Old sources:	mogavs archive

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