Augmented Inverse Probability Weighting


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Documentation for package ‘AIPW’ version 0.6.3.2

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AIPW Augmented Inverse Probability Weighting (AIPW)
AIPW_base Augmented Inverse Probability Weighting Base Class (AIPW_base)
AIPW_nuis Augmented Inverse Probability Weighting (AIPW) uses tmle or tmle3 as inputs
AIPW_tmle Augmented Inverse Probability Weighting (AIPW) uses tmle or tmle3 as inputs
aipw_wrapper AIPW wrapper function
eager_sim_obs Simulated Observational Study
eager_sim_rct Simulated Randomized Trial
fit Fit the data to the AIPW object
fit.AIPW Fit the data to the AIPW object
plot.ip_weights Plot the inverse probability weights using truncated propensity scores by exposure status
plot.p_score Plot the propensity scores by exposure status
stratified_fit Fit the data to the AIPW object stratified by 'A' for the outcome model
stratified_fit.AIPW Fit the data to the AIPW object stratified by 'A' for the outcome model
summary Summary of the average treatment effects from AIPW
summary.AIPW_base Summary of the average treatment effects from AIPW