bartMachine v1.2.3

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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
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
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Details

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

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