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 |