adaptive_iptw | Compute asymptotically linear IPTW estimators with super learning for the propensity score |
ci | Compute confidence intervals for drtmle and adaptive_iptw@ |
ci.adaptive_iptw | Confidence intervals for adaptive_iptw objects |
ci.drtmle | Confidence intervals for drtmle objects |
drtmle | TMLE estimate of the average treatment effect with doubly-robust inference |
estimateG | estimateG |
estimategrn | estimategrn |
estimateQ | estimateQ |
estimateQrn | estimateQrn |
eval_Diptw | Evaluate usual influence function of IPTW |
eval_Diptw_g | Evaluate extra piece of the influence function for the IPTW |
eval_Dstar | Evaluate usual efficient influence function |
eval_Dstar_g | Evaluate extra piece of efficient influence function resulting from misspecification of outcome regression |
eval_Dstar_Q | Evaluate extra piece of efficient influence function resulting from misspecification of propensity score |
fluctuateG | fluctuateG |
fluctuateQ | fluctuateQ |
fluctuateQ1 | fluctuateQ1 |
fluctuateQ2 | fluctuateQ2 |
plot.drtmle | Plot reduced dimension regression fits |
predict.SL.npreg | Predict method for SL.npreg |
print.adaptive_iptw | Print the output of a '"adaptive_iptw"' object. |
print.ci.adaptive_iptw | Print the output of ci.adaptive_iptw |
print.ci.drtmle | Print the output of ci.drtmle |
print.drtmle | Print the output of a '"drtmle"' object. |
print.wald_test.adaptive_iptw | Print the output of wald_test.adaptive_iptw |
print.wald_test.drtmle | Print the output of wald_test.drtmle |
SL.npreg | Super learner wrapper for kernel regression |
wald_test | Wald tests for drtmle and adaptive_iptw objects |
wald_test.adaptive_iptw | Wald tests for adaptive_iptw objects |
wald_test.drtmle | Wald tests for drtmle objects |