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

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

## Documentation for package ‘riAFTBART’ version 0.3.3

- DESCRIPTION file

## Help Pages

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