SL.npreg                Super learner wrapper for kernel regression
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
estimateQ               estimateQ
estimateQrn             estimateQrn
estimategrn             estimategrn
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_Q            Evaluate extra piece of efficient influence
                        function resulting from misspecification of
                        propensity score
eval_Dstar_g            Evaluate extra piece of efficient influence
                        function resulting from misspecification of
                        outcome regression
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
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
