Multiobjective Genetic Algorithm for Variable Selection in Regression

Documentation for package ‘mogavs’ version 1.1.0

mogavs-package	Package for regression variable selection with genetic algorithm MOGA-VS
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 knee-point.
getBestModelVars	Get variable names of the best model with nvar variables, or defined by lowest MSE, AIC, BIC or knee-point.
mogavs	Multiobjective Genetic Algorithm for Variable Selection
mogavs.default	Multiobjective Genetic Algorithm for Variable Selection
mogavs.formula	Multiobjective Genetic Algorithm for Variable Selection
mogavsToLinear	Transform a mogavs model into a linear model.
plotVarUsage	Produce a visual summary of how many times each variable appears on the efficient frontier.
sampleData	Simulated Data Set for MOGA-VS
summary.mogavs	Summary function for mogavs