Causal Inference for Multiple Treatments with a Binary Outcome

Documentation for package ‘CIMTx’ version 0.2.0

bart_multiTrt	Bayesian Additive Regression Trees (BART)
bart_multiTrt_ate	Bayesian Additive Regression Trees (BART) for ATE estimation
bart_multiTrt_att	Bayesian Additive Regression Trees (BART) for ATT estimation
causal_multi_treat	Estimation of causal effects of multiple treatments
data_gen	Data generation function
data_gen_p1	Data generation function for scenario 1
data_gen_p2	Data generation function for scenario 2 This function generates data to test different causal inference methods for scenario 2. Please use our main function data_gen.R
expit	Inverse logit
iptw_multiTrt	Inverse probability of treatment weighting (IPTW)
iptw_multiTrt_ate	Inverse probability of treatment weighting for ATE estimation (IPTW)
iptw_multiTrt_att	Inverse probability of treatment weighting for ATT estimation (IPTW)
postSumm	Summarize posterior samples
regadj_multiTrt	Regression Adjustment
regadj_multiTrt_ate	Regression Adjustment when estimand is ATE
regadj_multiTrt_att	Regression Adjustment when estimand is ATT
tmle	Targeted maximum likelihood (TMLE)
trunc_fun	Truncation
vm_multiTrt_att	Vector matching Matching (VM matching)