Doubly-Robust Nonparametric Estimation and Inference
Compute asymptotically linear IPTW estimators with super learning for ...
Helper function for averaging lists of estimates generated in the main...
Helper function to average convergence results and drtmle influence fu...
Confidence intervals for adaptive_iptw objects
Confidence intervals for drtmle objects
Compute confidence intervals for drtmle and adaptive_iptw@
TMLE estimate of the average treatment effect with doubly-robust infer...
estimateG
estimateG_loop
estimategrn
estimategrn_loop
estimateQ
estimateQ_loop
estimateQrn
estimateQrn_loop
Evaluate usual influence function of IPTW
Evaluate extra piece of the influence function for the IPTW
Evaluate usual efficient influence function
Evaluate extra piece of efficient influence function resulting from mi...
Evaluate extra piece of efficient influence function resulting from mi...
Help function to extract models from fitted object
fluctuateG
fluctuateQ
fluctuateQ1
fluctuateQ2
Make list of rows in each validation fold.
Helper function to properly format partially cross-validated predictio...
Plot reduced dimension regression fits
Predict method for SL.npreg
Print the output of a "adaptive_iptw" object.
Print the output of ci.adaptive_iptw
Print the output of ci.drtmle
Print the output of a "drtmle" object.
Print the output of wald_test.adaptive_iptw
Print the output of wald_test.drtmle
Helper function to reorder lists according to cvFolds
Super learner wrapper for kernel regression
Temporary fix for convex combination method mean squared error Relativ...
Temporary fix for convex combination method negative log-likelihood lo...
Wald tests for adaptive_iptw objects
Wald tests for drtmle objects
Wald tests for drtmle and adaptive_iptw objects
Targeted minimum loss-based estimators of counterfactual means and causal effects that are doubly-robust with respect both to consistency and asymptotic normality (Benkeser et al (2017), <doi:10.1093/biomet/asx053>; MJ van der Laan (2014), <doi:10.1515/ijb-2012-0038>).