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
DOI: 10.32614/CRAN.package.mogavs
Author: Tommi Pajala [aut, cre], Pekka Malo [aut], Ankur Sinha [aut], Timo Kuosmanen [ctb]
Maintainer: Tommi Pajala <tommi.pajala at>
License: GPL-2
NeedsCompilation: no
CRAN checks: mogavs results


Reference manual: mogavs.pdf


Package source: mogavs_1.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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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