Reference

AIPW Class Estimation with user-defined data, SL.library and causal structure
AIPW	Augmented Inverse Probability Weighting (AIPW)
fit fit.AIPW	Fit the data to the AIPW object
stratified_fit stratified_fit.AIPW	Fit the data to the AIPW object stratified by A for the outcome model
aipw_wrapper()	AIPW wrapper function
Repated Class Repeated Sample Fitting/Cross-fitting procedures
Repeated	Repeated Crossfitting Procedure for AIPW
repfit repfit.Repeated	Fit the data to the AIPW object repeatedly
summary_median summary_median.Repeated	Summary of the repeated_estimates from repfit() in the Repeated object using median methods.
AIPW_tmle Class Using a fitted tmle or tmle3 object as input
AIPW_tmle	Augmented Inverse Probability Weighting (AIPW) uses tmle or tmle3 as inputs
AIPW_nuis Class User input of nuisance functions
AIPW_nuis	Augmented Inverse Probability Weighting (AIPW) uses tmle or tmle3 as inputs
Common methods and base class Methods available for both AIPW and AIPW_tmle classes
AIPW_base	Augmented Inverse Probability Weighting Base Class (AIPW_base)
summary summary.AIPW_base	Summary of the average treatment effects from AIPW
plot.p_score	Plot the propensity scores by exposure status
plot.ip_weights	Plot the inverse probability weights using truncated propensity scores by exposure status
Simulated Data Simulated data from the EAGeR Trial
eager_sim_obs	Simulated Observational Study
eager_sim_rct	Simulated Randomized Trial