dr_scores: Doubly-Robust Scores
In aggTrees: Aggregation Trees
dr_scores R Documentation
Doubly-Robust Scores
Description
Constructs doubly-robust scores via K-fold cross-fitting.
Usage
dr_scores(Y, D, X, k = 5)
Arguments
Y
Outcome vector.
D
Treatment assignment vector.
X
Covariate matrix (no intercept).
k
Number of folds.
Details
Honest regression forests are used to estimate the propensity score and the conditional mean function of the outcome.
Value
A vector of scores.
Author(s)
Riccardo Di Francesco
aggTrees documentation built on Sept. 11, 2024, 9:22 p.m.
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| dr_scores | R Documentation |
Doubly-Robust Scores
Description
Constructs doubly-robust scores via K-fold cross-fitting.
Usage
dr_scores(Y, D, X, k = 5)
Arguments
Y |
Outcome vector. |
D |
Treatment assignment vector. |
X |
Covariate matrix (no intercept). |
k |
Number of folds. |
Details
Honest regression forests are used to estimate the propensity score and the conditional mean function of the outcome.
Value
A vector of scores.
Author(s)
Riccardo Di Francesco
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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