cde_aipw {DirectEffects} | R Documentation |
Initialize an AIPW CDE estimator
Description
Initializes the specification of a CDE estimator based on an
augmented inverse probability weighting approach.
Usage
cde_aipw(trim = c(0.01, 0.99), aipw_blip = TRUE)
Arguments
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.
|
aipw_blip |
If TRUE (the default), augmented inverse probability weighting
estimators will be used to estimate intermediate outcome
regressions (blip functions).
|
[Package
DirectEffects version 0.3
Index]