AIPW Class

Estimation with user-defined data, SL.library and causal structure

AIPW

Augmented Inverse Probability Weighting (AIPW)

fit

Fit the data to the AIPW object

stratified_fit

Fit the data to the AIPW object stratified by A for the outcome model

aipw_wrapper()

AIPW wrapper function

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 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