AIPW ClassEstimation with userdefined data, SL.library and causal structure 


Augmented Inverse Probability Weighting (AIPW) 

Fit the data to the AIPW object 

Fit the data to the AIPW object stratified by 

AIPW wrapper function 

Repated ClassRepeated Sample Fitting/Crossfitting procedures 

Repeated Crossfitting Procedure for AIPW 

Fit the data to the AIPW object repeatedly 

Summary of the 

AIPW_tmle ClassUsing a fitted tmle or tmle3 object as input 

Augmented Inverse Probability Weighting (AIPW) uses tmle or tmle3 as inputs 

AIPW_nuis ClassUser input of nuisance functions 

Augmented Inverse Probability Weighting (AIPW) uses tmle or tmle3 as inputs 

Common methods and base classMethods available for both AIPW and AIPW_tmle classes 

Augmented Inverse Probability Weighting Base Class (AIPW_base) 

Summary of the average treatment effects from AIPW 

Plot the propensity scores by exposure status 

Plot the inverse probability weights using truncated propensity scores by exposure status 

Simulated DataSimulated data from the EAGeR Trial 

Simulated Observational Study 

Simulated Randomized Trial 