bartMachine (version 1.2.6)

bartMachineArr: Create an array of BART models for the same data.

Description

If BART creates models that are variable, running many on the same dataset and averaging is a good strategy. This function is a convenience method for this procedure.

Usage

bartMachineArr(bart_machine, R = 10)

Arguments

bart_machine

An object of class ``bartMachine''.

R

The number of replicated BART models in the array.

Value

A bartMachineArr object which is just a list of the R bartMachine models.

Examples

# NOT RUN {
#Regression example
# }
# NOT RUN {
#generate Friedman data
set.seed(11)
n  = 200 
p = 5
X = data.frame(matrix(runif(n * p), ncol = p))
y = 10 * sin(pi* X[ ,1] * X[,2]) +20 * (X[,3] -.5)^2 + 10 * X[ ,4] + 5 * X[,5] + rnorm(n)

##build BART regression model
bart_machine = bartMachine(X, y)
bart_machine_arr = bartMachineArr(bart_machine)

#Classification example
data(iris)
iris2 = iris[51 : 150, ] #do not include the third type of flower for this example
iris2$Species = factor(iris2$Species)  
bart_machine = bartMachine(iris2[ ,1:4], iris2$Species)
bart_machine_arr = bartMachineArr(bart_machine)
# }
# NOT RUN {

# }