bartMachine v1.2.6

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Bayesian Additive Regression Trees

An advanced implementation of Bayesian Additive Regression Trees with expanded features for data analysis and visualization.

Functions in bartMachine

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

Name
bartMachine.Rnw
bart_normality_heteroskedasticity_2.pdf
convergence_diagnostics4.pdf
cov_test_body_style2.pdf
cov_test_omnibus2.pdf
cov_test_top_10_2.pdf
cov_test_width2.pdf
covariate_test_age3.pdf
friedman_function_interactions2.pdf
glucose_partial_dependence2.pdf
pdp_horsepower2.pdf
pdp_stroke2.pdf
plot_y_vs_y_hat_cred_ints2.pdf
plot_y_vs_y_hat_pred_ints2.pdf
rmse_num_trees_3.pdf
speed_full4.pdf
speed_zoomed4.pdf
v70i04.bib
var_imp_automobile_cc2.pdf
var_selection_plot2.pdf
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Details

Type Package
Date 2020-12-17
License GPL-3
SystemRequirements Java (>= 7.0)
NeedsCompilation no
Packaged 2020-12-17 17:38:53 UTC; kapel
Repository CRAN
Date/Publication 2020-12-17 20:00:13 UTC

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