ankara                  benchmark_datasets
automobile              Data concerning automobile prices.
bartMachine             Build a BART Model
bartMachineArr          Create an array of BART models for the same
                        data.
bartMachineCV           Build BART-CV
bart_machine_get_posterior
                        Get Full Posterior Distribution
bart_machine_num_cores
                        Get Number of Cores Used by BART
bart_predict_for_test_data
                        Predict for Test Data with Known Outcomes
calc_credible_intervals
                        Calculate Credible Intervals
calc_prediction_intervals
                        Calculate Prediction Intervals
check_bart_error_assumptions
                        Check BART Error Assumptions
cov_importance_test     Importance Test for Covariate(s) of Interest
destroy_bart_machine    Destroy BART Model (deprecated - do not use!)
dummify_data            Dummify Design Matrix
extract_raw_node_data   Gets Raw Node data
get_projection_weights
                        Gets Training Sample Projection / Weights
get_sigsqs              Get Posterior Error Variance Estimates
get_var_counts_over_chain
                        Get the Variable Inclusion Counts
get_var_props_over_chain
                        Get the Variable Inclusion Proportions
interaction_investigator
                        Explore Pairwise Interactions in BART Model
investigate_var_importance
                        Explore Variable Inclusion Proportions in BART
                        Model
k_fold_cv               Estimate Out-of-sample Error with K-fold Cross
                        validation
linearity_test          Test of Linearity
node_prediction_training_data_indices
                        Gets node predictions indices of the training
                        data for new data.
pd_plot                 Partial Dependence Plot
plot_convergence_diagnostics
                        Plot Convergence Diagnostics
plot_y_vs_yhat          Plot the fitted Versus Actual Response
predict.bartMachine     Make a prediction on data using a BART object
predict_bartMachineArr
                        Make a prediction on data using a BART array
                        object
print.bartMachine       Summarizes information about a 'bartMachine'
                        object.
rmse_by_num_trees       Assess the Out-of-sample RMSE by Number of
                        Trees
set_bart_machine_num_cores
                        Set the Number of Cores for BART
summary.bartMachine     Summarizes information about a 'bartMachine'
                        object.
var_selection_by_permute
                        Perform Variable Selection using Three
                        Threshold-based Procedures
var_selection_by_permute_cv
                        Perform Variable Selection Using
                        Cross-validation Procedure
