Causal Inference for Multiple Treatments with a Binary Outcome


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Documentation for package ‘CIMTx’ version 0.3.0

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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)