est_Hn: Estimate Auxiliary Covariate of Full Data 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 of Full Data Efficient Influence Function
Usage
1
est_Hn(gn_exp)
Arguments
gn_exp
An estimate of the exposure density (a generalized propensity
score) using the output provided by est_g_exp.
Details
Compute an estimate of the auxiliary covariate of the efficient
influence function required to update initial estimates through logistic
tilting models for 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 Feb. 11, 2022, 1:08 a.m.
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Description Usage Arguments Details Value
View source: R/fit_mechanisms.R
Description
Estimate Auxiliary Covariate of Full Data Efficient Influence Function
Usage
1 | est_Hn(gn_exp)
|
Arguments
gn_exp |
An estimate of the exposure density (a generalized propensity
score) using the output provided by |
Details
Compute an estimate of the auxiliary covariate of the efficient influence function required to update initial estimates through logistic tilting models for 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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