swMATH ID: 32024
Software Authors: Tommi Pajala, Pekka Malo, Ankur Sinha, Timo Kuosmanen
Description: R package 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>.
Homepage: https://cran.r-project.org/web/packages/mogavs/index.html
Source Code:  https://github.com/cran/mogavs
Dependencies: R
Related Software: GenAlgo; gaselect; mlr; RWeka; CORElearn; caret; EFS; featurefinder; varSelRF; GeneSrF; spFSR; Boruta; FSelector; MXM; R; FSinR; CRAN
Cited in: 0 Publications