Man pages for bartMachine
Bayesian Additive Regression Trees
| 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 |
| benchmark_datasets | benchmark_datasets |
| 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... |
| 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... |
| var_selection_by_permute_cv | Perform Variable Selection Using Cross-validation Procedure |
