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 aalto.fi> |
License: |
GPL-2 |
NeedsCompilation: |
no |
CRAN checks: |
mogavs results |
Documentation:
Downloads:
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