A Flexible Approach for Causal Inference with Multiple Treatments and Clustered Survival Outcomes

Documentation for package ‘riAFTBART’ version 0.3.3

cal_PEHE	Calculate the PEHE
cal_surv_prob	Calculate the survival probability from a fitted riAFT-BART model
dat_sim	Simulate data with multiple treatments and clustered survival outcomes
intree	Interpreting Tree Ensembles with inTrees
plot.riAFTBART_estimate	Plot the trace plots for the parameters from a fitted riAFT-BART model
plot.riAFTBART_survProb	Plot the fitted survival curves from riAFT-BART model
plot_gps	Plot the propensity score by treatment
riAFTBART	A flexible approach for causal inference with multiple treatments and clustered survival outcomes
riAFTBART_fit	Fit a random effect accelerated failure time BART model
sa	Flexible Monte Carlo sensitivity analysis for unmeasured confounding
var_select	Perform Variable Selection using Three Threshold-based Procedures