Doubly-Robust Nonparametric Estimation and Inference


[Up] [Top]

Documentation for package ‘drtmle’ version 1.0.4

Help Pages

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