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 |
method.CC_LS_mod |
Modification of convex combination least squares method for 'SuperLearner' that doesn't fail with duplicated predictors. Issue reported to 'SuperLearner' maintainers. This function will be deprecated when a more robust fix in the 'SuperLearner' package is implemented. |
method.CC_nloglik_mod |
Modification of convex combination negative log likelihood method for 'SuperLearner' that doesn't fail with duplicated predictors. Issue reported to 'SuperLearner' maintainers. This function will be deprecated when a more robust fix in the 'SuperLearner' package is implemented. |
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 |