bartMachine v1.2.4.2

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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
automobile Data concerning automobile prices.
get_var_props_over_chain Get the Variable Inclusion Proportions
interaction_investigator Explore Pairwise Interactions in BART Model
plot_convergence_diagnostics Plot Convergence Diagnostics
bart_machine_get_posterior Get Full Posterior Distribution
get_var_counts_over_chain Get the Variable Inclusion Counts
bart_machine_num_cores Get Number of Cores Used by BART
plot_y_vs_yhat Plot the fitted Versus Actual Response
bart_predict_for_test_data Predict for Test Data with Known Outcomes
get_sigsqs Get Posterior Error Variance Estimates
linearity_test Test of Linearity
pd_plot Partial Dependence Plot
benchmark_datasets benchmark_datasets
destroy_bart_machine Destroy BART Model (deprecated --- do not use!)
bartMachineArr Create an array of BART models for the same data.
bartMachineCV Build BART-CV
investigate_var_importance Explore Variable Inclusion Proportions in BART Model
set_bart_machine_num_cores Set the Number of Cores for BART
dummify_data Dummify Design Matrix
k_fold_cv Estimate Out-of-sample Error with K-fold Cross validation
calc_credible_intervals Calculate Credible Intervals
summary.bartMachine Summarizes information about a bartMachine object.
print.bartMachine Summarizes information about a bartMachine object.
rmse_by_num_trees Assess the Out-of-sample RMSE by Number of Trees
var_selection_by_permute Perform Variable Selection using Three Threshold-based Procedures
calc_prediction_intervals Calculate Prediction Intervals
var_selection_by_permute_cv Perform Variable Selection Using Cross-validation Procedure
check_bart_error_assumptions Check BART Error Assumptions
cov_importance_test Importance Test for Covariate(s) of Interest
predict.bartMachine Make a prediction on data using a BART object
predict_bartMachineArr Make a prediction on data using a BART array object
bartMachine Build a BART Model
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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 2018-05-04
License GPL-3
SystemRequirements Java (>= 7.0)
NeedsCompilation no
Packaged 2018-05-04 15:33:21 UTC; Adam
Repository CRAN
Date/Publication 2018-05-04 16:41:02 UTC

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