mogavs: Multiobjective Genetic Algorithm for Variable Selection in Regression

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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.

Author
Tommi Pajala [aut, cre], Pekka Malo [aut], Ankur Sinha [aut], Timo Kuosmanen [ctb]
Date of publication
2015-11-06 18:29:17
Maintainer
Tommi Pajala <tommi.pajala@aalto.fi>
License
GPL-2
Version
1.0.1

View on CRAN

Man pages

createAdditionalPlots
Function for plotting boundaries of the archive set.
crimeData
Crime Data Set with Imputed Values
cv.mogavs
k-Fold Crossvalidation for a mogavs model
getBestModel
Get the best model with nvar variables, or by AIC, BIC or...
getBestModelVars
Get variable names of the best model with nvar variables, or...
mogavs
Multiobjective Genetic Algorithm for Variable Selection
mogavs-package
Package for regression variable selection with genetic...
mogavsToLinear
Transform a mogavs model into a linear model.
plotVarUsage
Produce a visual summary of how many times each variable...
sampleData
Simulated Data Set for MOGA-VS
summary.mogavs
Summary function for mogavs

Files in this package

mogavs
mogavs/NAMESPACE
mogavs/data
mogavs/data/crimeData.rda
mogavs/data/sampleData.rda
mogavs/R
mogavs/R/mogavs.formula.R
mogavs/R/mogavsToLinear.R
mogavs/R/mogavs-internal.R
mogavs/R/createAdditionalPlots.R
mogavs/R/summary.mogavs.R
mogavs/R/cv.mogavs.R
mogavs/R/getBestModelVars.R
mogavs/R/plotVarUsage.R
mogavs/R/mogavs.R
mogavs/R/mogavs.default.R
mogavs/R/getBestModel.R
mogavs/MD5
mogavs/DESCRIPTION
mogavs/man
mogavs/man/getBestModel.Rd
mogavs/man/plotVarUsage.Rd
mogavs/man/getBestModelVars.Rd
mogavs/man/crimeData.Rd
mogavs/man/mogavs.Rd
mogavs/man/mogavs-package.Rd
mogavs/man/mogavsToLinear.Rd
mogavs/man/cv.mogavs.Rd
mogavs/man/summary.mogavs.Rd
mogavs/man/createAdditionalPlots.Rd
mogavs/man/sampleData.Rd