Multiobjective Genetic Algorithm for Variable Selection in Regression

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Documentation for package ‘mogavs’ version 1.1.0

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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