estimate_ite_bart: Estimate the Individual Treatment Effect (ITE) using Bayesian...
In CRE: Interpretable Discovery and Inference of Heterogeneous Treatment Effects
View source: R/estimate_ite_bart.R
estimate_ite_bart R Documentation
Estimate the Individual Treatment Effect (ITE) using Bayesian Additive
Regression Trees (BART)
Description
Estimates the Individual Treatment Effect using Bayesian Additive Regression
Trees given a response vector, a treatment vector, and a features matrix.
Usage
estimate_ite_bart(y, z, X, learner_ps)
Arguments
y
An observed response vector.
z
A treatment vector.
X
A features matrix.
learner_ps
Method for the estimation of the propensity score.
Value
A list of ITE estimates.
Note
The number of samples and the number of burn are set by default equal
to 500.
CRE documentation built on Oct. 19, 2024, 5:07 p.m.
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View source: R/estimate_ite_bart.R
| estimate_ite_bart | R Documentation |
Estimate the Individual Treatment Effect (ITE) using Bayesian Additive Regression Trees (BART)
Description
Estimates the Individual Treatment Effect using Bayesian Additive Regression Trees given a response vector, a treatment vector, and a features matrix.
Usage
estimate_ite_bart(y, z, X, learner_ps)
Arguments
y |
An observed response vector. |
z |
A treatment vector. |
X |
A features matrix. |
learner_ps |
Method for the estimation of the propensity score. |
Value
A list of ITE estimates.
Note
The number of samples and the number of burn are set by default equal to 500.
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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