Initializes the specification of a CDE estimator based on an inverse probability weighting approach.
Usage
cde_ipw(hajek = TRUE, trim = c(0.01, 0.99))Arguments
- hajek
If
TRUE, normalized weights will be used as in the Hajek estimator. IfFALSE, traditional IPW weights will be used.- trim
A vector of length 2 indicating what quantiles of the propensity scores should be trimmed. By default this is
c(0.01, 0.99)meaning that the top and bottom 1% of propensity scores are trunctated to these quantiles. If NULL, no trimming occurs.