Description Usage Arguments Value
Fit IPW weights with a logit propensity score model
1 | fit_ipw(outcomes, metadata, trt_unit = 1, alpha_w)
|
outcomes |
Tidy dataframe with the outcomes and meta data |
metadata |
Dataframe of metadata |
trt_unit |
Unit that is treated (target for regression), default: 0 |
alpha_w |
regularization parameter for weights |
inverse of predicted propensity scores outcome regression parameters control outcomes treated outcomes boolean for treated
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