cde_ipw {DirectEffects} | R Documentation |
Initialize an IPW CDE estimator
Description
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. If FALSE , traditional IPW weights will be used.
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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.
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[Package
DirectEffects version 0.3
Index]