ce_estimate             Causal inference with multiple treatments using
                        observational data
ce_estimate_bart_ate    Causal inference with multiple treatments using
                        BART for ATE effects
ce_estimate_bart_att    Causal inference with multiple treatments using
                        BART for ATT effects
ce_estimate_iptw_ate    Causal inference with multiple treatments using
                        IPTW for ATE effects
ce_estimate_iptw_ate_boot
                        Causal inference with multiple treatments using
                        IPTW for ATE effects (bootstrapping for CI)
ce_estimate_iptw_att    Causal inference with multiple treatments using
                        IPTW for ATT effects
ce_estimate_iptw_att_boot
                        Causal inference with multiple treatments using
                        IPTW for ATT effects (bootstrapping for CI)
ce_estimate_ra_ate      Causal inference with multiple treatments using
                        RA for ATE effects
ce_estimate_ra_att      Causal inference with multiple treatments using
                        RA for ATT effects
ce_estimate_rams_ate    Causal inference with multiple treatments using
                        RAMS for ATE effects
ce_estimate_rams_ate_boot
                        Causal inference with multiple treatments using
                        RAMS for ATE effects (bootstrapping for CI)
ce_estimate_rams_att    Causal inference with multiple treatments using
                        RAMS for ATT effects
ce_estimate_rams_att_boot
                        Causal inference with multiple treatments using
                        RAMS for ATT effects (bootstrapping for CI)
ce_estimate_tmle_ate    Causal inference with multiple treatments using
                        TMLE for ATE effects
ce_estimate_tmle_ate_boot
                        Causal inference with multiple treatments using
                        TMLE for ATE effects (bootstrapping for CI)
ce_estimate_vm_att      Causal inference with multiple treatments using
                        VM for ATT effects
covariate_overlap       Covariate overlap figure
data_sim                Simulate data for binary outcome with multiple
                        treatments
plot.CIMTx_ATE_posterior
                        Plot for non-IPTW estimation methods with
                        bootstrapping for ATE effect
plot.CIMTx_ATT_posterior
                        Plot for non-IPTW estimation methods for ATT
                        effect
plot.CIMTx_IPTW         Boxplot for weight distribution
plot.CIMTx_nonIPTW_once
                        Plot for non-IPTW estimation methods for ATE
                        effect
plot.CIMTx_sa_grid      Contour plot for the grid specification of
                        sensitivity analysis
posterior_summary       Posterior distribution summary
print.CIMTx_ATE_posterior
                        Print the ATE results for non-IPTW results
print.CIMTx_ATE_sa      Print the ATE results for from sensitivity
                        analysis
print.CIMTx_ATT_posterior
                        Print the ATT results
print.CIMTx_ATT_sa      Print the ATT results for from sensitivity
                        analysis
print.CIMTx_IPTW        Print the ATE/ATT results for IPTW results
print.CIMTx_nonIPTW_once
                        Print the ATE/ATT results for non-IPTW results
print.CIMTx_sa_grid     Print the ATT results for from sensitivity
                        analysis
sa                      Flexible Monte Carlo sensitivity analysis for
                        unmeasured confounding
summary.CIMTx_ATE_posterior
                        Summarize a CIMTx_ATE_posterior object
summary.CIMTx_ATE_sa    Summarize a CIMTx_ATE_sa object
summary.CIMTx_ATT_posterior
                        Summarize a CIMTx_ATT_posterior object
summary.CIMTx_ATT_sa    Summarize a CIMTx_ATT_sa object
summary.CIMTx_IPTW      Summarize a CIMTx_IPTW object
summary.CIMTx_nonIPTW_once
                        Summarize a CIMTx_nonIPTW_once object
true_c_fun_cal          Calculate the true c functions with 3
                        treatments and a binary predictor
trunc_fun               Trimming
