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_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_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_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 |