Calculate average causal effects in RD, RR and OR in the fitted AIPW or AIPW_tmle object using the estimated efficient influence functions

## Arguments

g.bound Value between [0,1] at which the propensity score should be truncated. Propensity score will be truncated to $$[g.bound, 1-g.bound]$$ when one g.bound value is provided, or to $$[min(g.bound), max(g.bound)]$$ when two values are provided. Defaults to 0.025.

## Value

estimates and result (public variables): Risks, Average treatment effect in RD, RR and OR.

## R6 Usage

$summary(g.bound = 0.025) $summary(g.bound = c(0.025,0.975))