estimate_ite {CRE} | R Documentation |
Estimate the Individual Treatment Effect (ITE)
Description
Estimates the Individual Treatment Effect given a response vector, a treatment vector, a covariate matrix, and a desired algorithm.
Usage
estimate_ite(y, z, X, ite_method, ...)
Arguments
y |
An observed response vector. |
z |
An observed treatment vector. |
X |
A covariate matrix. |
ite_method |
A method for estimating the Individual Treatment Effect. Some methods requires additional parameters. These parameters are mentioned in the indented blocks for each method and their definitions are provided at the end of this parameters list.
|
... |
Additional parameters passed to different models. |
Details
Additional parameters
-
learner_ps: An estimation method for the propensity score. This includes libraries for the SuperLearner package.
-
learner_y: An estimation model for the outcome. This includes libraries for the SuperLearner package.
-
offset: Name of the covariate to use as offset (i.e.
"x1"
) for Poisson ITE Estimation.NULL
if offset is not used.
Value
A list of ITE estimates.