bartMachine v1.2.3


Monthly downloads



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
bartMachineCV Build BART-CV
bart_predict_for_test_data Predict for Test Data with Known Outcomes
benchmark_datasets benchmark_datasets
dummify_data Dummify Design Matrix
calc_prediction_intervals Calculate Prediction Intervals
automobile Data concerning automobile prices.
var_selection_by_permute Perform Variable Selection using Three Threshold-based Procedures
plot_convergence_diagnostics Plot Convergence Diagnostics
calc_credible_intervals Calculate Credible Intervals
set_bart_machine_num_cores Set the Number of Cores for BART
var_selection_by_permute_cv Perform Variable Selection Using Cross-validation Procedure
predict_bartMachineArr Make a prediction on data using a BART array object
pd_plot Partial Dependence Plot
predict.bartMachine Make a prediction on data using a BART object
get_var_counts_over_chain Get the Variable Inclusion Counts
get_sigsqs Get Posterior Error Variance Estimates
summary.bartMachine Summarizes information about a bartMachine object.
bartMachineArr Create an array of BART models for the same data.
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
bart_machine_num_cores Get Number of Cores Used by BART
plot_y_vs_yhat Plot the fitted Versus Actual Response
destroy_bart_machine Destroy BART Model (deprecated --- do not use!)
check_bart_error_assumptions Check BART Error Assumptions
print.bartMachine Summarizes information about a bartMachine object.
cov_importance_test Importance Test for Covariate(s) of Interest
rmse_by_num_trees Assess the Out-of-sample RMSE by Number of Trees
bart_machine_get_posterior Get Full Posterior Distribution
get_var_props_over_chain Get the Variable Inclusion Proportions
bartMachine Build a BART Model
No Results!

Last month downloads


Type Package
Date 2016-05-11
License GPL-3
SystemRequirements Java (>= 1.7.0)
NeedsCompilation no
Packaged 2016-05-11 18:07:40 UTC; Kapelner
Repository CRAN
Date/Publication 2016-05-12 14:47:18

Include our badge in your README