mogavs (version 1.1.0)

getBestModelVars: Get variable names of the best model with nvar variables, or defined by lowest MSE, AIC, BIC or knee-point.

Description

Returns a vector of variable names for the best model, as defined by either the AIC, BIC, or knee-point, or alternatively the best for a given number of variables.

Usage

getBestModelVars(mogavs, nvars, data, method=c("AIC","BIC","mse",NULL))

Arguments

mogavs

A model of the class mogavs.

nvars

Number of variables for the best model. Only used if method is NULL or MSE.

data

The used data set.

method

The desired metric for defining the best model. If nvar is omitted, method must be named.

Value

Returns a character vector of the variable names of the best model.

Details

The methods AIC, BIC and knee look at the whole set of tried models, whereas NULL means that the function looks for the best model with $nvar$ variables and the lowest mean square error.

See Also

getBestModel,plotVarUsage

Examples

# NOT RUN {
data(sampleData)
mod<-mogavs(y~.,data=sampleData,maxGenerations=20)
getBestModelVars(mod,nvars=15,sampleData,NULL)
getBestModelVars(mod,nvars=0,data=sampleData,method="BIC")
# }