est_Hn: Estimate Auxiliary Covariate from Efficient Influence...
In txshift: Efficient Estimation of the Causal Effects of Stochastic Interventions
Description
Usage
Arguments
Details
Value
View source: R/fit_mechanisms.R
Description
Estimate Auxiliary Covariate from Efficient Influence Function
Usage
1
est_Hn(gn)
Arguments
gn
An estimate of the treatment probability (propensity score), using
the output provided by internal function estimate-propensity_score.
Details
Compute an estimate of the auxiliary covariate required to update
initial estimates via logistic tilting models in targeted minimum loss
estimation.
Value
A data.table with two columns, containing estimates of the
auxiliary covariate at the natural value of the exposure H(A, W) and at the
shifted value of the exposure H(A + delta, W).
txshift documentation built on Oct. 23, 2020, 8:27 p.m.
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Description Usage Arguments Details Value
View source: R/fit_mechanisms.R
Description
Estimate Auxiliary Covariate from Efficient Influence Function
Usage
1 | est_Hn(gn)
|
Arguments
gn |
An estimate of the treatment probability (propensity score), using
the output provided by internal function |
Details
Compute an estimate of the auxiliary covariate required to update initial estimates via logistic tilting models in targeted minimum loss estimation.
Value
A data.table with two columns, containing estimates of the
auxiliary covariate at the natural value of the exposure H(A, W) and at the
shifted value of the exposure H(A + delta, W).
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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