| adaptive_iptw | Compute asymptotically linear IPTW estimators with super... |
| average_est_cov_list | Helper function for averaging lists of estimates generated in... |
| average_ic_list | Helper function to average convergence results and drtmle... |
| 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... |
| estimateG | estimateG |
| estimateG_loop | estimateG_loop |
| estimategrn | estimategrn |
| estimategrn_loop | estimategrn_loop |
| estimateQ | estimateQ |
| estimateQ_loop | estimateQ_loop |
| estimateQrn | estimateQrn |
| estimateQrn_loop | estimateQrn_loop |
| 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... |
| eval_Dstar_Q | Evaluate extra piece of efficient influence function... |
| extract_models | Help function to extract models from fitted object |
| fluctuateG | fluctuateG |
| fluctuateQ | fluctuateQ |
| fluctuateQ1 | fluctuateQ1 |
| fluctuateQ2 | fluctuateQ2 |
| make_validRows | Make list of rows in each validation fold. |
| partial_cv_preds | Helper function to properly format partially cross-validated... |
| 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 |
| reorder_list | Helper function to reorder lists according to cvFolds |
| SL.npreg | Super learner wrapper for kernel regression |
| tmp_method.CC_LS | Temporary fix for convex combination method mean squared... |
| tmp_method.CC_nloglik | Temporary fix for convex combination method negative... |
| 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 |
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