shift_additive: Simple Additive Modified Treatment Policy
In txshift: Efficient Estimation of the Causal Effects of Stochastic Interventions
Description
Usage
Arguments
Details
Value
Description
Simple Additive Modified Treatment Policy
Usage
1
shift_additive(A, W = NULL, delta)
Arguments
A
A numeric vector of observed treatment values.
W
A numeric matrix of observed baseline covariate values.
delta
A numeric indicating the magnitude of the shift to be
computed for the treatment A.
Details
A simple modified treatment policy that modifes the observed value
of the exposure by shifting it by a value delta. Note that this
shifting function assumes support of A|W across all strata of W.
Value
A numeric vector containing the shifted exposure values.
txshift documentation built on Feb. 11, 2022, 1:08 a.m.
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Description Usage Arguments Details Value
Description
Simple Additive Modified Treatment Policy
Usage
1 | shift_additive(A, W = NULL, delta)
|
Arguments
A |
A |
W |
A |
delta |
A |
Details
A simple modified treatment policy that modifes the observed value
of the exposure by shifting it by a value delta. Note that this
shifting function assumes support of A|W across all strata of W.
Value
A numeric vector containing the shifted exposure values.
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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