IATEs: This function produces the predicted values of all 13...
In MCKnaus/CATEs: Conditional Average Treatment Effect with Causal Machine Learning
Description
Usage
Arguments
Value
Description
This function produces the predicted values of all 13 estimator considered in KLS
Usage
1
IATEs(y_t, d_t, x_t, tau_t, x_v)
Arguments
y_t
Vector of training outcome values
d_t
Vector of training treament indicators
x_t
Matrix of training covariates (N x p matrix)
x_v
Matrix of validation covariates (N x p matrix)
Value
Returns n x 13 matrix containing the IATEs of the validation sample
MCKnaus/CATEs documentation built on Sept. 11, 2021, 10:12 p.m.
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Description Usage Arguments Value
Description
This function produces the predicted values of all 13 estimator considered in KLS
Usage
1 | IATEs(y_t, d_t, x_t, tau_t, x_v)
|
Arguments
y_t |
Vector of training outcome values |
d_t |
Vector of training treament indicators |
x_t |
Matrix of training covariates (N x p matrix) |
x_v |
Matrix of validation covariates (N x p matrix) |
Value
Returns n x 13 matrix containing the IATEs of the validation sample
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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