delta_mu_mix: Mixed-shape Conditional Average Treatment Effect estimator...
In PLUCR: Policy Learning Under Constraint
View source: R/synthetic_data.R
delta_mu_mix R Documentation
Mixed-shape Conditional Average Treatment Effect estimator for Y
Description
Computes the difference in expected Y outcomes under treatment and control, using h_Y.
Usage
delta_mu_mix(X)
Arguments
X
A matrix of covariates of size n x d (input data in [0,1]).
Value
A numeric vector that represents the contrast between primary outcomes for given X.
Examples
X <- matrix(stats::runif(10*5), 10, 5)
delta_mu_mix(X)
PLUCR documentation built on March 30, 2026, 5:08 p.m.
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View source: R/synthetic_data.R
| delta_mu_mix | R Documentation |
Mixed-shape Conditional Average Treatment Effect estimator for Y
Description
Computes the difference in expected Y outcomes under treatment and control, using h_Y.
Usage
delta_mu_mix(X)
Arguments
X |
A matrix of covariates of size n x d (input data in |
Value
A numeric vector that represents the contrast between primary outcomes for given X.
Examples
X <- matrix(stats::runif(10*5), 10, 5)
delta_mu_mix(X)
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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