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.

Documentation

Manual: mogavs.pdf
Vignette: None available.

Maintainer: Tommi Pajala <tommi.pajala at aalto.fi>

Author(s): Tommi Pajala*, Pekka Malo*, Ankur Sinha*, Timo Kuosmanen*

Install package and any missing dependencies by running this line in your R console:

install.packages("mogavs")

Depends R (>= 2.10)
Imports cvTools, graphics, stats
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Package mogavs
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Version 1.0.1
Published 2015-11-06
License GPL-2
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NeedsCompilation no
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Package source mogavs_1.0.1.tar.gz