## 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_cv = bartMachineCV(X, y)
#
# #information about cross-validated model
# summary(bart_machine_cv)
# ## End(Not run)
Run the code above in your browser using DataLab