Bayesian Additive Regression Trees

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Documentation for package ‘bartMachine’ version 1.3.4.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

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
baseball	benchmark_datasets
boston	benchmark_datasets
build_bart_machine	Build a BART Model
build_bart_machine_cv	Build BART-CV
calc_credible_intervals	Calculate Credible Intervals
calc_prediction_intervals	Calculate Prediction Intervals
check_bart_error_assumptions	Check BART Error Assumptions
compactiv	benchmark_datasets
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.
ozone	benchmark_datasets
pd_plot	Partial Dependence Plot
plot_convergence_diagnostics	Plot Convergence Diagnostics
plot_y_vs_yhat	Plot the fitted Versus Actual Response
pole	benchmark_datasets
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.
triazine	benchmark_datasets
var_selection_by_permute	Perform Variable Selection using Three Threshold-based Procedures
var_selection_by_permute_cv	Perform Variable Selection Using Cross-validation Procedure
wine.red	benchmark_datasets
wine.white	benchmark_datasets