R: Augmented Inverse Probability Weighting

# Augmented Inverse Probability Weighting

## Documentation for package ‘AIPW’ version 0.6.9.2

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## 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
Repeated | Repeated Crossfitting Procedure for AIPW
repfit | Fit the data to the AIPW object repeatedly
repfit.Repeated | Fit the data to the AIPW object repeatedly
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
summary_median | Summary of the 'repeated_estimates' from 'repfit()' in the Repeated object using median methods.
summary_median.Repeated | Summary of the 'repeated_estimates' from 'repfit()' in the Repeated object using median methods.