## Not run:
# ##regression example
#
# ##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)
#
# ##now test if X[, 1] affects Y nonparametrically under the BART model assumptions
# cov_importance_test(bart_machine, covariates = c(1))
# ## note the plot and the printed p-value
#
# ## End(Not run)
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