Augmented Inverse Probability Weighting

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Documentation for package ‘AIPW’ version 0.6.3.2

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

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